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ab:[["b_HTjoAQnFHTw",true],["b_nofaiouf40:o101,Z4S",true],["b_I4CG2aBycXR",true],["b_3czOGwEfLnP",true],["b_y6LfKN616RR",true],["b_Cnvd93L4RLQ",true],["b_f3pTWk4VY9o",true],["b_JdDYWmkf3xi",true],["b_2u7BZPCR7Xc",true],["b_X0PZS39J1sw",true],["b_ZJj1uJCyHD9",true],["b_ITlwPBzatfl",true]] ac:[] ad:T664c,40:o664c,Build a production-ready Next.js App Router page for: **Quality Measure Tracking Dashboard** Primary user: SNF administrator ## Figma source files - use these for all design decisions Brand Guidelines: https://www.figma.com/design/p75zu8AdqluZ3MKd6zzvwQ/Carebrain-Brand-Guidelines---Lite Design System: https://www.figma.com/design/4L8zHHXaihjF3jmXnErD1H/Carebrain-Design-System--gluestack-ui- Main Design: https://www.figma.com/design/Jh6BdsV98tbFE2tir9CWb7/Carebrain-Design---90- ## Live Design Tokens (fetched from Carebrain Figma) ### Typography Text-black/2xs : 10px: Inter 10px weight-900 Text-hairline/2xs : 10px: Inter 10px weight-100 Text-light/2xs : 10px: Inter 10px weight-300 Text-extrabold/2xs : 10px: Inter 10px weight-800 Text-semibold/2xs : 10px: Inter 10px weight-600 Text-medium/2xs : 10px: Inter 10px weight-500 Text-normal/2xs : 10px: Inter 10px weight-400 Text-bold/2xs : 10px: Inter 10px weight-700 Text-hairline/Text-thin/2xs : 10px: Inter 10px weight-100 Heading/5xl : 60px: Inter 60px weight-700 Text-bold/xs : 12px: Inter 12px weight-700 Text-hairline/Text-thin/3xl : 30px: Inter 30px weight-100 Text-hairline/Text-thin/md : 16px: Inter 16px weight-100 Text-bold/md : 16px: Inter 16px weight-700 Text-medium/lg : 18px: Inter 18px weight-500 Text-light/5xl : 48px: Inter 48px weight-300 Text-light/4xl : 36px: Inter 36px weight-300 Text-light/2xl : 24px: Inter 24px weight-300 Text-light/xs : 12px: Inter 12px weight-300 Text-medium/md : 16px: Inter 16px weight-500 ## Problem this solves SNF administrators and DONs are flying blind on quality measures. They know their Five-Star rating matters—it drives referral volume, MA contract terms, and VBP reimbursement—but tracking the underlying measures (falls with major injury, pressure ulcers, functional improvement, antipsychotic use, 30-day readmissions) is a fragmented, retrospective exercise. Most facilities rely on SimpleLTC, PointRight, or the iQIES portal to see where they stand, and by the time data surfaces it reflects decisions made 60-90 days ago. There is no moment where a DON looks at her morning dashboard and sees 'your pressure ulcer rate is trending toward a 3-star threshold—here are the three residents driving it.' The consequence is compounding. A facility that drops from 4-star to 3-star on quality measures loses preferred-provider status with hospital discharge planners, faces harder MA prior-auth scrutiny, and absorbs the financial hit from VBP payment adjustments—all traceable to documentation gaps and clinical blind spots that a real-time quality intelligence layer could have surfaced weeks earlier. GEHRiMed offers a MIPS compliance dashboard that addresses some of this for provider-side reporting, but it is practitioner-centric (designed for the rounding physician's MIPS attestation) and does not track the MDS-derived CMS quality measures that actually drive Five-Star ratings and SNF VBP performance. It also requires a separate login outside the facility's core workflow, reducing the likelihood that nursing leadership actually uses it. The timing is acute. CMS VBP now ties 2% of Medicare payments to readmission rates, and 56% of SNF operators name Medicare Advantage as their top operational pressure in 2026—a payer class that explicitly uses Five-Star and outcomes data in contract negotiations and authorization decisions. Simultaneously, hospital-SNF partnerships are expanding and referral relationships increasingly require demonstrated quality performance. Carebrain already sits inside the PCC workflow where MDS data is generated; no other AI platform in this market is positioned to close the loop between documentation at the point of care and real-time quality measure feedback. This is the moment to own that layer before PCC Advisor or DolphinCare gets there first. ## MVP scope (what to build) Build a Quality Measure Dashboard accessible to SNF administrators and DONs inside the existing Carebrain app. MVP covers: (1) a facility-level scorecard showing current performance on the 6 MDS-derived CMS quality measures most directly tied to Five-Star ratings (pressure ulcers new/worsened, falls with major injury, functional improvement via GG, discharge to community, antipsychotic use in long-stay residents, and 30-day potentially preventable readmissions); (2) a threshold indicator showing whether each measure is currently tracking above, at, or below the national average and the 4-star and 5-star cutoff thresholds; (3) a resident-level drill-down per measure showing which residents are contributing to a flagged measure, sourced from MDS data via the PCC integration; (4) a 90-day trend line per measure so leadership can see trajectory, not just a point-in-time number. The MVP is delivered as a demo-ready mockup (Figma, clickable) for sales use first, with a functional build targeting 1-2 pilot SNF operator customers. No multi-facility roll-up in MVP—single facility view only. Data is sourced exclusively from the existing PCC integration; no additional EHR integrations are in scope. ## All user stories - every one must be reflected in the UI 1. As a SNF administrator, I want to see my facility's current performance on each CMS quality measure relative to the Five-Star threshold so that I know where we are at risk before the next public rating update. 2. As a Director of Nursing, I want to see which specific residents are contributing to a declining quality measure so that I can direct care interventions before the measure is locked in the next MDS submission cycle. 3. As an MDS Coordinator, I want to be alerted when a resident's clinical data signals a likely quality measure trigger (e.g., a new fall or pressure ulcer stage change) so that documentation is complete and accurate before the assessment reference date closes. 4. As a SNF administrator, I want to trend quality measure performance over rolling 30/60/90-day periods so that I can demonstrate improvement trajectory to hospital referral partners and MA payers. 5. As a Director of Nursing, I want to run a pre-survey quality measure audit so that I can identify F-Tag exposure before an unannounced DOH inspection. 6. As a regional operations director overseeing multiple facilities, I want to compare quality measure performance across my portfolio so that I can prioritize which buildings need immediate clinical intervention. ## Success metrics - design the UI to make these measurable - Weekly active usage by DON or MDS Coordinator: ≥3 sessions per week per facility within 60 days of go-live at pilot sites - Time-to-awareness of quality measure threshold breach: Reduce from reactive (post-iQIES submission, 60-90 day lag) to proactive (within 7 days of MDS reference date closure) - Pilot customer retention at 90-day mark: 100% of pilot facilities renew or expand after 90-day trial - Quality measure score improvement at pilot facilities: At least 1 tracked measure improves by ≥0.5 percentage points vs. prior quarter at ≥50% of pilot sites - Sales demo conversion rate using mockup: Quality measure tracking demo included in ≥80% of new enterprise prospect decks; contributes to ≥2 closed deals within 6 months of mockup availability - Resident-level alert actionability: ≥70% of quality measure alerts surfaced to DON result in a documented care intervention within 48 hours ## UI spec Build a clinical dashboard screen for Carebrain, an AI platform for Skilled Nursing Facilities. Brand color is deep purple (#9333EA). The screen is called 'Quality Measures' and is accessed by a DON or SNF Administrator. Layout: Left sidebar navigation (Carebrain app shell, purple). Main content area has a page header 'Quality Measures — Riverside SNF' with a date range selector defaulting to 'Last 90 Days'. Below the header: a 2x3 grid of measure cards. Each card shows: measure name (e.g. 'Pressure Ulcers: New or Worsened'), the facility's current rate as a large number, a colored status badge (green=above threshold, amber=at risk, red=below threshold), a small sparkline trend chart for 90 days, and the 4-star and 5-star threshold values shown as reference lines. One card (Pressure Ulcers) is expanded showing a resident list table below it with columns: Resident Name, Room, Relevant MDS Item, ARD Date, Last Clinical Event. Use clean sans-serif typography, white cards on light gray background, purple accents. ## Design reference Screen name: Quality Measures Dashboard (Facility View) Key components: 1. Carebrain app shell with left nav — 'Quality Measures' tab active, purple (#9333EA) highlight 2. Page header with facility name and 90-day date range pill selector 3. Measure Scorecard Grid (2 columns × 3 rows): each card contains measure label, current rate (large type), threshold status badge (green/amber/red), 90-day sparkline, and 4★/5★ cutoff reference lines 4. Expanded drill-down panel (triggered by tapping a card): resident table with Name, Room, MDS item value, ARD date, Last PCC Event 5. 'View All Residents' CTA at bottom of drill-down User action flow: Land on scorecard → tap amber card → drill-down expands inline → click resident row → navigate to resident chart Visual style: White cards, #F3F4F6 background, #9333EA accents, Inter typeface, 16px base, clinical but not sterile ## Platform components to reuse - PCC Marketplace MDS Data Feed (integration): Existing PCC Marketplace integration is the source of structured MDS assessment data (Sections G, GG, J, N, ADT events) required to compute CMS quality measures. Must audit which MDS item-level fields and ARD timing data are currently available in the Carebrain data payload before building calculation logic. - Longitudinal Trend Aggregator (pipeline): PR-39 Longitudinal Lookback, if built, provides the historical clinical data trending infrastructure that quality measure trajectory lines require. Reuse this pipeline's time-series aggregation logic for rolling 30/60/90-day quality measure windows rather than rebuilding from scratch. ## New components to build - CMS Quality Measure Calculation Engine (pipeline): Net-new pipeline that ingests MDS item-level responses from the PCC feed and applies CMS SNF QRP measure specifications to compute the 6 MVP quality measures (pressure ulcers new/worsened, falls with major injury, GG functional improvement, discharge to community, antipsychotic use in long-stay residents, 30-day potentially preventable readmissions). Must be modular by measure to allow targeted rule updates when CMS modifies specifications. - MDS Assessment Store (data-source): Structured, queryable store of MDS assessment records per resident including ARD, assessment type (5-Day, quarterly, SCSA, annual), and item-level responses needed for quality measure lookback windows. Sourced from PCC integration; must persist historical assessments to support 30/60/90-day trending, not just the most recent submission. - Quality Measure Threshold Classifier (model): Lightweight rule-based model that maps each facility's computed quality measure rate to the current national average and CMS Five-Star 4-star and 5-star cutoff thresholds, classifying each measure as above threshold, at risk, or below threshold. Thresholds sourced from CMS CASPER/iQIES published cutoff tables and updated each CMS reporting cycle. - Quality Measure Scorecard (Facility Level) (ui-component): Primary dashboard view showing the 6 tracked quality measures as a facility-level scorecard with star-threshold indicators, current rate vs. national average, and a 90-day trend sparkline per measure. Entry point for DON and administrator persona; scoped to single-facility view in MVP. Designed in Carebrain's deep purple design system for demo-ready Figma delivery to sales. - Resident-Level Quality Measure Drill-Down (ui-component): Secondary view accessible from any flagged measure on the scorecard, listing the specific residents whose MDS data is contributing to that measure's current rate. Displays resident name, relevant MDS item values, assessment period, and last documented clinical event from PCC. Enables DON to identify intervention targets without leaving Carebrain. - Quality Measure Alert Trigger (workflow): Post-MVP workflow that monitors real-time PCC ADT and eINTERACT event data (new falls, pressure ulcer stage changes, hospital transfers) and fires a proactive alert to the DON when a resident event is likely to impact a quality measure before the MDS ARD closes. Depends on PR-36 Pathways VBC Flagging for shared alerting infrastructure. ## Technical requirements - Next.js App Router page (default export), TypeScript, Tailwind CSS - Use shadcn/ui: Button, Card, Badge, Input, Select, Table, Skeleton, Dialog as needed - Full interactivity: real state, handlers, forms - no placeholder TODOs - Loading state (Skeleton), empty state (with CTA), error state - Hover/focus states on all interactive elements - Mobile-first (sm: breakpoints). Min touch target 44px. - High contrast text (≥4.5:1). SNF clinical context - clarity over decoration. ## Full spec (reference) # PRD: Quality Measure Tracking Dashboard **Status:** DRAFT | **Owner:** TBD | **Last updated:** 2026-06-12 --- ## TLDR Build a Quality Measure (QM) Dashboard inside the Carebrain app that gives SNF administrators and Directors of Nursing real-time visibility into their facility's performance on the six CMS quality measures most directly tied to Five-Star ratings and SNF Value-Based Purchasing. Resident-level drill-down tells the DON exactly which patients are driving a declining measure—before the MDS assessment reference date closes and before the rating is public. The first deliverable is a Figma clickable mockup for sales; the functional build follows with 1–2 pilot SNF operator customers. --- ## Why Now Three converging pressures make this the right moment: 1. **VBP money is on the line.** CMS SNF Value-Based Purchasing now ties up to 2% of Medicare payments to 30-day all-cause hospital readmission rates. A single-measure miss can cost a 100-bed facility $80–120K annually. 2. **MA is squeezing everyone.** 56% of SNF operators name Medicare Advantage as their top operational pressure in 2026. MA payers use Five-Star scores and outcomes data in authorization decisions and contract negotiations. A drop from 4-star to 3-star on quality measures loses preferred-provider status with hospital discharge planners—a referral volume hit that compounds monthly. 3. **The window to own this layer is closing.** PointClickCare launched Advisor in June 2026. DolphinCare is building an MDS-focused AI platform. Neither has shipped a resident-level, real-time QM alert tied to the PCC data stream the way Carebrain can today. We are already in the PCC workflow where MDS data is generated. No other ambient AI platform in the SNF market is positioned to close the loop between point-of-care documentation and quality measure feedback. This is the moment to build that moat. --- ## Problem SNF administrators and DONs are flying blind on quality measures. They know their Five-Star rating matters—it drives referral volume, MA contract terms, and VBP reimbursement—but tracking the underlying measures is a fragmented, retrospective exercise. Most facilities bounce between SimpleLTC, PointRight, and the iQIES portal, and by the time data surfaces it reflects decisions made 60–90 days ago. There is no moment in a DON's morning where she looks at a dashboard and sees: *your pressure ulcer rate is trending toward a 3-star threshold—here are the three residents driving it.* The consequence compounds. A facility that drops from 4-star to 3-star on quality measures loses referral priority, faces harder MA authorization scrutiny, and absorbs the VBP payment adjustment—all traceable to documentation gaps and clinical blind spots that a real-time quality intelligence layer could have surfaced weeks earlier. GEHRiMed offers a MIPS compliance dashboard, but it is practitioner-centric (designed for the rounding physician's MIPS attestation) and does not track the MDS-derived CMS quality measures that actually drive Five-Star ratings and SNF VBP performance. It also requires a separate login outside the facility's core PCC workflow, reducing actual usage by nursing leadership. Carebrain sits inside the PCC workflow where MDS data is generated. That is the structural advantage. This feature uses it. --- ## Users | User | Role | Pain Point | Frequency of Use | |---|---|---|---| | **SNF Administrator** | Facility operator, business accountability | No real-time visibility into QM trajectory before rating is public | Weekly—strategic review | | **Director of Nursing (DON)** | Clinical operations lead, survey readiness owner | Can't identify which residents are pulling down a measure until post-submission | Daily—operational | | **MDS Coordinator** | Assessment accuracy owner | No alert when a clinical event is likely to trigger a QM before the ARD closes | Per-assessment-cycle | | **Regional Operations Director** | Multi-facility portfolio oversight | No cross-building QM comparison (next-level scope only) | Weekly | --- ## Example User Story: Maria (DON, 120-bed SNF, PCC shop) Maria runs a 120-bed skilled nursing facility in Ohio. Her facility dropped from 4-star to 3-star on quality measures six months ago after a spike in long-stay residents with pressure ulcers—a change she didn't see coming until the Care Compare update posted publicly. By then, two hospital discharge planners had already moved her facility to their secondary referral list. Today, Maria opens Carebrain at 7:45 AM before morning IDT. The Quality Measure Dashboard shows her that her *Pressure Ulcer: New or Worsened* rate is at 8.2%—above the 4-star threshold of 7.1% and trending upward over the past 30 days. She taps the measure and sees three residents listed: Room 214 (Stage 2 documented last Tuesday), Room 108 (Braden score declined two weeks ago, no wound note yet), and Room 331 (recent SCSA submitted without updated skin assessment). Maria assigns wound care follow-up before the ARD closes on two of the three. The measure rate drops. The 4-star threshold holds. The discharge planner at St. Luke's doesn't get a reason to call her competitor. **Without Carebrain:** Maria would have learned about this in iQIES eight weeks later. --- ## MVP Scope The MVP is a single-facility Quality Measure Dashboard accessible to the administrator and DON personas inside the existing Carebrain app navigation. Functional build follows a sales-ready Figma clickable mockup. **Included in MVP:** - **Facility-level scorecard** showing current performance on 6 CMS SNF QRP quality measures: 1. Pressure Ulcers: New or Worsened (long-stay) 2. Falls with Major Injury (long-stay) 3. Functional Improvement: GG Self-Care and Mobility (short-stay) 4. Discharge to Community (short-stay) 5. Antipsychotic Medication Use (long-stay) 6. 30-Day Potentially Preventable Readmissions - **Star-threshold indicator** per measure: color-coded status relative to national average, 4-star cutoff, and 5-star cutoff sourced from CMS CASPER/iQIES published tables - **90-day trend sparkline** per measure showing trajectory, not just point-in-time rate - **Resident-level drill-down** per flagged measure: list of contributing residents with relevant MDS item values, assessment period, ARD date, and most recent related PCC clinical event - **Data source:** PCC Marketplace integration exclusively; no additional EHR integrations in scope - **Scope:** Single facility view only in MVP; no multi-facility roll-up - **First deliverable:** Figma clickable mockup (2–3 weeks) for sales demos ahead of functional build **Explicitly excluded from MVP:** - Multi-facility portfolio benchmarking (next-level) - Proactive real-time alerts before ARD closes (next-level) - Pre-survey audit mode (next-level) - VBC program integration / PR-36 Pathways (next-level) - Outcomes data export for referral partner conversations (next-level) --- ## Next Level Scope If pilot customers validate daily usage and resident drill-down drives measurable care interventions: 1. **Multi-facility portfolio view** for regional operators and DSOs: cross-building QM benchmarking with outlier flagging and intervention prioritization 2. **Proactive Quality Measure Alerts** that fire when real-time PCC ADT and eINTERACT events (new fall, pressure ulcer stage change, hospital transfer) signal a likely QM impact before the MDS ARD closes—shifts the tool from diagnostic to preventive; shares alerting infrastructure with PR-36 Pathways VBC Flagging 3. **Pre-survey audit mode** that cross-references QM gaps with known F-Tag deficiency patterns, giving DONs a structured self-assessment tool ahead of unannounced DOH inspections 4. **VBC integration** connecting QM performance to PR-36 Pathways for multi-program tracking (ACO, TEAM, HHVBP) 5. **Outcomes data export** (PDF or structured report) for use in hospital partnership conversations and MA contract negotiations --- ## Framework Nodes | Node | Type | Status | Notes | |---|---|---|---| | PCC Marketplace MDS Data Feed | Integration (reuse) | Now | Audit MDS field coverage before build | | MDS Assessment Store | Data pipeline (new) | Next | Time-series persistence for historical trending | | CMS Quality Measure Calculation Engine | Pipeline (new) | Next | Modular per-measure; handles ARD timing | | Quality Measure Threshold Classifier | Model (new) | Next | Rule-based; maps rates to CASPER cutoffs | | Quality Measure Scorecard UI | UI component (new) | Next | Figma mockup is milestone 1 | | Resident-Level QM Drill-Down UI | UI component (new) | Next | Requires BAA/HIPAA legal review | | Quality Measure Alert Trigger | Workflow (new) | Later | Depends on PR-36 Pathways | | Longitudinal Trend Aggregator | Pipeline (reuse PR-39) | Next | Reuse time-series logic for 30/60/90-day windows | --- ## Success Metrics | Goal | Metric | Target | |---|---|---| | Daily clinical adoption | Weekly active sessions by DON or MDS Coordinator | ≥3 sessions/week per facility within 60 days of go-live | | Timeliness improvement | Time-to-awareness of QM threshold breach | Within 7 days of ARD closure (vs. 60–90 day lag today) | | Pilot retention | 90-day renewal rate | 100% of pilot facilities renew or expand | | Outcome impact | QM score improvement | ≥1 measure improves ≥0.5pp vs. prior quarter at ≥50% of pilot sites | | Sales acceleration | Demo conversion | QM demo in ≥80% of enterprise prospect decks; ≥2 closed deals within 6 months of mockup | | Alert actionability | Care intervention rate | ≥70% of QM alerts result in documented intervention within 48 hours | --- ## Business Goals - **Upsell revenue:** Quality Measure Tracking is a clinical intelligence module priced at $200–400/facility/month, charged to the SNF operator—not the individual provider. Consistent with the land-on-scribe, upsell-on-clinical-intelligence distribution strategy. - **Enterprise deal acceleration:** The Figma mockup is a pre-revenue sales asset targeting DSO and regional operator prospects where quality outcomes are a stated buyer priority. - **Competitive moat:** Owning the QM visibility layer inside PCC before PointClickCare Advisor or DolphinCare occupies that position. - **Retention driver:** Facilities that use daily QM tracking are stickier than those using Carebrain only for scribe; quality outcomes data creates switching cost. --- ## Assumptions | Assumption | Certainty (0–10) | Validation | |---|---|---| | PCC Marketplace delivers MDS Sections G, GG, J, N at item-level with ARD metadata | 6 | Audit current PCC data payload; engage PCC technical team if gaps | | DONs will adopt a QM workflow inside Carebrain rather than staying in SimpleLTC/iQIES | 5 | 5 discovery interviews with DONs at current and prospective customers | | CMS QM definitions are stable enough for durable calculation logic | 7 | Review SNF QRP measure specs; check FY2027 SNF PPS proposed rule for pending changes | | Primary buyer is SNF administrator/DON, not rounding physician | 8 | Confirm with sales team; cross-check PROD-5 and PROD-6 persona deliverables | | Resident-level QM drill-down is covered under existing BAA scope | 7 | Legal review of BAA with PCC and SNF operator customers | | Sales demo mockup accelerates deal closure before functional build ships | 8 | A/B test demo decks on 4–6 active prospects; measure meeting-to-proposal conversion | --- ## Open Questions 1. **PCC data coverage:** Which MDS sections and item-level fields does the current PCC Marketplace payload include? What is the latency from MDS submission in PCC to availability in Carebrain? Is ARD date included? 2. **Historical depth:** Does the PCC integration deliver historical assessments or only current-state records? If historical depth is missing, what is the backfill strategy to support 90-day trending at launch? 3. **CMS threshold update cadence:** How frequently do Five-Star QM cutoffs shift, and what is the ops process to update the threshold classifier each cycle without an engineering sprint? 4. **BAA scope:** Does surfacing resident-level MDS-derived data in a Carebrain UI qualify as treatment operations under existing BAAs, or does it require an amendment with PCC and/or SNF operator customers? 5. **SimpleLTC/PointRight displacement:** Are any current Carebrain customers already paying for SimpleLTC or PointRight? If so, is Carebrain's QM dashboard a replacement or a complement—and how does that affect pricing? 6. **Calculation fidelity:** CMS applies risk adjustment and exclusion logic to several quality measures (e.g., excluding residents on hospice from antipsychotic measures). How much calculation fidelity does the MVP need to be useful vs. directional? Should we caveat the MVP dashboard as a leading indicator rather than a certified CMS rate? Deliver a production-grade initial version that engineers can build on directly. Not a wireframe.40:o8,ae:T812,40:o812,I'm setting up a fresh shadcn project for the Quality Measures dashboard with Inter font and deep purple branding. I'll configure the root layout with metadata and theme colors, add global CSS with purple tokens and status color variants, then build out the main dashboard page along with a sidebar navigation and quality measures components. I'll organize the data layer with types and mock resident data, create individual components for measure cards with sparklines and a resident drill-down table, then wire everything together in a client component that handles loading and empty states. Since this is a demo-ready mockup, I'll use simulated data loading with useState to keep it straightforward. Actually, I should use a route handler with SWR to be more production-grade and follow the data-fetching guidelines properly. I'll create an API endpoint that returns the quality measures data and fetch it client-side with SWR. For the sparkline, I'm building a simple inline SVG component with trend data and threshold reference lines — that's appropriate for a small chart like this. Now I'm planning out the six measures with realistic data, thinking through which ones are "lower is better" versus "higher is better" to determine the status indicators correctly. Defining the data structure with direction, current rates, national averages, star thresholds, and a 13-week trend array for each measure. For readmissions, I'm adjusting the current value to 9.2 so it falls between the 4-star and 5-star thresholds, which puts it in the green zone. Now I'm deciding which metrics should have residents flagged—pressure ulcers as the main one, plus falls, discharge to community, and antipsychotic use. I'm setting up the resident table with columns for name, room, relevant MDS item, ARD date, and last clinical event, then I'll generate the lists per measure. Now I'm configuring the design tokens—setting the brand purple to #9333EA and background to #F3F4F6 in the globals. Setting up color tokens... Writing theme tokens... Writing globals.css...40:o9,af:Tcf58,40:ocf58,[V0_FILE]css:file="app/globals.css" isMerged="true" @import 'tailwindcss'; @import 'tw-animate-css'; @custom-variant dark (&:is(.dark *)); :root { /* Neutrals */ --background: #f3f4f6; --foreground: #1f2430; --card: #ffffff; --card-foreground: #1f2430; --popover: #ffffff; --popover-foreground: #1f2430; /* Brand — Carebrain deep purple */ --primary: #9333ea; --primary-foreground: #ffffff; --brand-soft: #f4ebfe; --brand-ring: #c99bf6; --secondary: #f3f0f7; --secondary-foreground: #4a2f66; --muted: #f1f2f4; --muted-foreground: #6b7280; --accent: #f4ebfe; --accent-foreground: #6b21a8; --destructive: #dc2626; --destructive-foreground: #ffffff; --border: #e5e7eb; --input: #e5e7eb; --ring: #9333ea; /* Semantic clinical status (load-bearing: threshold classification) */ --success: #15803d; --success-foreground: #ffffff; --success-soft: #dcfce7; --success-border: #bbf7d0; --warning: #b45309; --warning-foreground: #ffffff; --warning-soft: #fef3c7; --warning-border: #fde68a; --danger: #b91c1c; --danger-foreground: #ffffff; --danger-soft: #fee2e2; --danger-border: #fecaca; /* Sidebar app shell — deep purple */ --sidebar: #4c1d76; --sidebar-foreground: #efe7f7; --sidebar-primary: #ffffff; --sidebar-primary-foreground: #4c1d76; --sidebar-accent: #6d28a8; --sidebar-accent-foreground: #ffffff; --sidebar-border: #6d28a8; --sidebar-ring: #c99bf6; --chart-1: #9333ea; --chart-2: #15803d; --chart-3: #b45309; --chart-4: #b91c1c; --chart-5: #6b7280; --radius: 0.75rem; } @theme inline { --font-sans: var(--font-inter), ui-sans-serif, system-ui, sans-serif; --font-mono: 'Geist Mono', 'Geist Mono Fallback'; --color-background: var(--background); --color-foreground: var(--foreground); --color-card: var(--card); --color-card-foreground: var(--card-foreground); --color-popover: var(--popover); --color-popover-foreground: var(--popover-foreground); --color-primary: var(--primary); --color-primary-foreground: var(--primary-foreground); --color-brand-soft: var(--brand-soft); --color-brand-ring: var(--brand-ring); --color-secondary: var(--secondary); --color-secondary-foreground: var(--secondary-foreground); --color-muted: var(--muted); --color-muted-foreground: var(--muted-foreground); --color-accent: var(--accent); --color-accent-foreground: var(--accent-foreground); --color-destructive: var(--destructive); --color-destructive-foreground: var(--destructive-foreground); --color-border: var(--border); --color-input: var(--input); --color-ring: var(--ring); --color-success: var(--success); --color-success-foreground: var(--success-foreground); --color-success-soft: var(--success-soft); --color-success-border: var(--success-border); --color-warning: var(--warning); --color-warning-foreground: var(--warning-foreground); --color-warning-soft: var(--warning-soft); --color-warning-border: var(--warning-border); --color-danger: var(--danger); --color-danger-foreground: var(--danger-foreground); --color-danger-soft: var(--danger-soft); --color-danger-border: var(--danger-border); --color-chart-1: var(--chart-1); --color-chart-2: var(--chart-2); --color-chart-3: var(--chart-3); --color-chart-4: var(--chart-4); --color-chart-5: var(--chart-5); --color-sidebar: var(--sidebar); --color-sidebar-foreground: var(--sidebar-foreground); --color-sidebar-primary: var(--sidebar-primary); --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); --color-sidebar-accent: var(--sidebar-accent); --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); --color-sidebar-border: var(--sidebar-border); --color-sidebar-ring: var(--sidebar-ring); --radius-sm: calc(var(--radius) - 4px); --radius-md: calc(var(--radius) - 2px); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) + 4px); } @layer base { * { @apply border-border outline-ring/50; } body { @apply bg-background text-foreground; } } [V0_FILE]json:file="package.json" isMerged="true" { "name": "my-project", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "eslint ." }, "dependencies": { "@hookform/resolvers": "^3.9.1", "@vercel/analytics": "1.6.1", "@radix-ui/react-accordion": "1.2.12", "@radix-ui/react-alert-dialog": "1.1.15", "@radix-ui/react-aspect-ratio": "1.1.8", "@radix-ui/react-avatar": "1.1.11", "@radix-ui/react-checkbox": "1.3.3", "@radix-ui/react-collapsible": "1.1.12", "@radix-ui/react-context-menu": "2.2.16", "@radix-ui/react-dialog": "1.1.15", "@radix-ui/react-dropdown-menu": "2.1.16", "@radix-ui/react-hover-card": "1.1.15", "@radix-ui/react-label": "2.1.8", "@radix-ui/react-menubar": "1.1.16", "@radix-ui/react-navigation-menu": "1.2.14", "@radix-ui/react-popover": "1.1.15", "@radix-ui/react-progress": "1.1.8", "@radix-ui/react-radio-group": "1.3.8", "@radix-ui/react-scroll-area": "1.2.10", "@radix-ui/react-select": "2.2.6", "@radix-ui/react-separator": "1.1.8", "@radix-ui/react-slider": "1.3.6", "@radix-ui/react-slot": "1.2.4", "@radix-ui/react-switch": "1.2.6", "@radix-ui/react-tabs": "1.1.13", "@radix-ui/react-toast": "1.2.15", "@radix-ui/react-toggle": "1.1.10", "@radix-ui/react-toggle-group": "1.1.11", "@radix-ui/react-tooltip": "1.2.8", "autoprefixer": "^10.4.20", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "1.1.1", "date-fns": "4.1.0", "embla-carousel-react": "8.6.0", "input-otp": "1.4.2", "lucide-react": "^0.564.0", "next": "16.2.6", "next-themes": "^0.4.6", "react": "19.2.4", "react-day-picker": "9.13.2", "react-dom": "19.2.4", "react-hook-form": "^7.54.1", "react-resizable-panels": "^2.1.7", "recharts": "2.15.0", "sonner": "^1.7.1", "tailwind-merge": "^3.3.1", "vaul": "^1.1.2", "zod": "^3.24.1", "tailwindcss-animate": "1.0.7", "swr": "2.5.0" }, "devDependencies": { "@tailwindcss/postcss": "^4.2.0", "@types/node": "^24", "@types/react": "19.2.14", "@types/react-dom": "19.2.3", "postcss": "^8.5", "tailwindcss": "^4.2.0", "tw-animate-css": "1.3.3", "typescript": "5.7.3" } } [V0_FILE]typescriptreact:file="app/layout.tsx" isMerged="true" import type { Metadata, Viewport } from 'next' import { Inter } from 'next/font/google' import { Analytics } from '@vercel/analytics/next' import './globals.css' const inter = Inter({ subsets: ['latin'], variable: '--font-inter', display: 'swap', }) export const metadata: Metadata = { title: 'Quality Measures — Riverside SNF | Carebrain', description: 'Real-time CMS quality measure tracking for skilled nursing facilities. Monitor Five-Star thresholds, trends, and resident-level drivers inside Carebrain.', generator: 'v0.app', } export const viewport: Viewport = { themeColor: '#9333ea', width: 'device-width', initialScale: 1, } export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode }>) { return ( {children} {process.env.NODE_ENV === 'production' && } ) } [V0_FILE]typescript:file="lib/quality-data.ts" isMerged="true" // Domain model + demo dataset for the Quality Measure Tracking Dashboard. // Data mirrors the shape of what the CMS Quality Measure Calculation Engine // would emit after ingesting MDS item-level responses from the PCC feed. export type MeasureStatus = "above" | "at-risk" | "below" // Whether a lower rate is better (e.g. pressure ulcers) or a higher rate is // better (e.g. functional improvement). Drives status classification + copy. export type MeasureDirection = "lower-better" | "higher-better" export interface TrendPoint { /** ISO date for the weekly rolling window snapshot */ date: string rate: number } export interface ContributingResident { id: string name: string room: string /** Human-readable MDS item + coded value driving the measure */ mdsItem: string mdsValue: string /** Assessment Reference Date */ ard: string assessmentType: string lastEvent: string lastEventDate: string /** Days until the ARD locks; negative means already closed */ ardDaysRemaining: number } export interface QualityMeasure { id: string name: string shortName: string population: "Long-stay" | "Short-stay" | "All" unit: "%" direction: MeasureDirection current: number nationalAverage: number fourStarCutoff: number fiveStarCutoff: number status: MeasureStatus /** Change vs. start of the selected window, in percentage points */ changePp: number trend: TrendPoint[] description: string residents: ContributingResident[] } export interface FacilityScorecard { facilityName: string location: string ccn: string bedCount: number overallStars: number lastMdsSync: string measures: QualityMeasure[] } export type DateRange = "30" | "60" | "90" export const DATE_RANGE_LABELS: Record = { "30": "Last 30 Days", "60": "Last 60 Days", "90": "Last 90 Days", } function makeTrend(values: number[], startDaysAgo: number): TrendPoint[] { const step = startDaysAgo / (values.length - 1) const now = Date.UTC(2026, 5, 12) // 2026-06-12, matches PRD "last updated" return values.map((rate, i) => { const d = new Date(now - (startDaysAgo - i * step) * 86400000) return { date: d.toISOString().slice(0, 10), rate } }) } export const SCORECARD: FacilityScorecard = { facilityName: "Riverside SNF", location: "Columbus, OH", ccn: "36-A142", bedCount: 120, overallStars: 3, lastMdsSync: "2026-06-11T06:15:00Z", measures: [ { id: "pressure-ulcers", name: "Pressure Ulcers: New or Worsened", shortName: "Pressure Ulcers", population: "Long-stay", unit: "%", direction: "lower-better", current: 8.2, nationalAverage: 8.0, fourStarCutoff: 7.1, fiveStarCutoff: 5.4, status: "at-risk", changePp: 1.1, trend: makeTrend([6.9, 7.0, 7.2, 7.1, 7.4, 7.6, 7.5, 7.8, 8.0, 7.9, 8.1, 8.2, 8.2], 90), description: "Percent of long-stay residents with new or worsened Stage 2–4 pressure ulcers (MDS Section M).", residents: [ { id: "r-214", name: "Eleanor Whitfield", room: "214", mdsItem: "M0300B — Stage 2", mdsValue: "1 new", ard: "2026-06-18", assessmentType: "Quarterly", lastEvent: "Stage 2 ulcer documented", lastEventDate: "2026-06-04", ardDaysRemaining: 6, }, { id: "r-108", name: "Harold Nguyen", room: "108", mdsItem: "M1300 — Braden score", mdsValue: "14 (↓ from 18)", ard: "2026-06-15", assessmentType: "SCSA", lastEvent: "Braden decline, no wound note", lastEventDate: "2026-05-29", ardDaysRemaining: 3, }, { id: "r-331", name: "Dorothy Alvarez", room: "331", mdsItem: "M0300C — Stage 3", mdsValue: "1 worsened", ard: "2026-06-13", assessmentType: "SCSA", lastEvent: "SCSA filed, skin assessment stale", lastEventDate: "2026-06-02", ardDaysRemaining: 1, }, ], }, { id: "falls-major-injury", name: "Falls with Major Injury", shortName: "Falls w/ Major Injury", population: "Long-stay", unit: "%", direction: "lower-better", current: 3.4, nationalAverage: 3.4, fourStarCutoff: 3.0, fiveStarCutoff: 2.1, status: "at-risk", changePp: 0.3, trend: makeTrend([3.0, 3.1, 3.0, 3.2, 3.1, 3.3, 3.2, 3.3, 3.4, 3.3, 3.5, 3.4, 3.4], 90), description: "Percent of long-stay residents experiencing one or more falls with major injury (MDS Section J).", residents: [ { id: "r-127", name: "James Okafor", room: "127", mdsItem: "J1900C — Major injury", mdsValue: "Fracture", ard: "2026-06-20", assessmentType: "Quarterly", lastEvent: "Witnessed fall, hip fracture", lastEventDate: "2026-06-07", ardDaysRemaining: 8, }, { id: "r-233", name: "Margaret Chen", room: "233", mdsItem: "J1800 — Any fall", mdsValue: "2 falls", ard: "2026-06-16", assessmentType: "Annual", lastEvent: "Unwitnessed fall, head lac", lastEventDate: "2026-06-01", ardDaysRemaining: 4, }, ], }, { id: "functional-improvement", name: "Functional Improvement (GG Self-Care & Mobility)", shortName: "Functional Improvement", population: "Short-stay", unit: "%", direction: "higher-better", current: 68.4, nationalAverage: 64.0, fourStarCutoff: 66.0, fiveStarCutoff: 72.0, status: "above", changePp: 2.6, trend: makeTrend([65.0, 65.4, 65.8, 66.1, 66.5, 66.9, 67.2, 67.4, 67.8, 68.0, 68.1, 68.3, 68.4], 90), description: "Percent of short-stay residents meeting or exceeding expected GG self-care and mobility discharge goals.", residents: [], }, { id: "discharge-to-community", name: "Discharge to Community", shortName: "Discharge to Community", population: "Short-stay", unit: "%", direction: "higher-better", current: 51.2, nationalAverage: 55.0, fourStarCutoff: 57.0, fiveStarCutoff: 63.0, status: "below", changePp: -2.1, trend: makeTrend([53.3, 53.0, 52.6, 52.4, 52.1, 51.9, 51.8, 51.6, 51.5, 51.4, 51.3, 51.2, 51.2], 90), description: "Percent of short-stay residents discharged to the community without an unplanned readmission or death within 31 days.", residents: [ { id: "r-119", name: "Robert Delgado", room: "119", mdsItem: "A2105 — Discharge status", mdsValue: "SNF transfer", ard: "2026-06-14", assessmentType: "Discharge", lastEvent: "Readmitted day 12", lastEventDate: "2026-05-30", ardDaysRemaining: 2, }, { id: "r-205", name: "Patricia Boone", room: "205", mdsItem: "GG0170 — Mobility", mdsValue: "No goal met", ard: "2026-06-19", assessmentType: "Discharge", lastEvent: "PT plateau documented", lastEventDate: "2026-06-05", ardDaysRemaining: 7, }, ], }, { id: "antipsychotic-use", name: "Antipsychotic Medication Use", shortName: "Antipsychotic Use", population: "Long-stay", unit: "%", direction: "lower-better", current: 14.1, nationalAverage: 14.5, fourStarCutoff: 13.0, fiveStarCutoff: 9.8, status: "at-risk", changePp: 0.4, trend: makeTrend([13.5, 13.6, 13.7, 13.6, 13.8, 13.9, 13.8, 14.0, 14.0, 14.1, 14.0, 14.1, 14.1], 90), description: "Percent of long-stay residents receiving an antipsychotic medication without a supporting diagnosis (MDS Section N).", residents: [ { id: "r-142", name: "Frank Sullivan", room: "142", mdsItem: "N0410A — Antipsychotic", mdsValue: "Daily, no dx", ard: "2026-06-17", assessmentType: "Quarterly", lastEvent: "New order, GDR not attempted", lastEventDate: "2026-06-03", ardDaysRemaining: 5, }, ], }, { id: "readmissions", name: "30-Day Potentially Preventable Readmissions", shortName: "30-Day Readmissions", population: "All", unit: "%", direction: "lower-better", current: 9.2, nationalAverage: 10.2, fourStarCutoff: 9.5, fiveStarCutoff: 7.9, status: "above", changePp: -0.6, trend: makeTrend([9.8, 9.7, 9.7, 9.6, 9.5, 9.5, 9.4, 9.4, 9.3, 9.3, 9.2, 9.2, 9.2], 90), description: "Risk-adjusted rate of potentially preventable 30-day all-cause hospital readmissions (SNF VBP).", residents: [], }, ], } export const STATUS_META: Record< MeasureStatus, { label: string; short: string; description: string } > = { above: { label: "Above threshold", short: "On track", description: "Meeting the 4★ cutoff or better", }, "at-risk": { label: "At risk", short: "At risk", description: "Between national average and the 4★ cutoff", }, below: { label: "Below threshold", short: "Below", description: "Missing the national average and 4★ cutoff", }, } export function formatRate(value: number, unit: "%" = "%") { return `${value.toFixed(1)}${unit}` } [V0_FILE]typescript:file="app/api/quality-measures/route.ts" isMerged="true" import { NextResponse } from "next/server" import { SCORECARD, type DateRange, type FacilityScorecard } from "@/lib/quality-data" const VALID_RANGES: DateRange[] = ["30", "60", "90"] // Slice each measure's trend to the requested rolling window and recompute the // change-over-window. Mirrors what the Longitudinal Trend Aggregator would do. function scopeToRange(range: DateRange): FacilityScorecard { const days = Number(range) const cutoff = Date.UTC(2026, 5, 12) - days * 86400000 return { ...SCORECARD, measures: SCORECARD.measures.map((m) => { const trend = m.trend.filter((p) => new Date(p.date).getTime() >= cutoff) const scoped = trend.length >= 2 ? trend : m.trend.slice(-2) const changePp = Number( (scoped[scoped.length - 1].rate - scoped[0].rate).toFixed(1), ) return { ...m, trend: scoped, changePp } }), } } export async function GET(request: Request) { const { searchParams } = new URL(request.url) const rangeParam = searchParams.get("range") ?? "90" const range: DateRange = VALID_RANGES.includes(rangeParam as DateRange) ? (rangeParam as DateRange) : "90" // Simulate the PCC/aggregator round-trip so the loading state is exercised. await new Promise((r) => setTimeout(r, 350)) return NextResponse.json(scopeToRange(range), { headers: { "Cache-Control": "no-store" }, }) } [V0_FILE]typescriptreact:file="components/quality/sparkline.tsx" isMerged="true" import type { MeasureStatus, TrendPoint } from "@/lib/quality-data" import { cn } from "@/lib/utils" const STATUS_STROKE: Record = { above: "text-success", "at-risk": "text-warning", below: "text-danger", } interface SparklineProps { data: TrendPoint[] fourStar: number fiveStar: number status: MeasureStatus height?: number showThresholdLabels?: boolean className?: string } /** * Compact trend sparkline with 4★ / 5★ threshold reference lines. * Uses a fixed viewBox with non-scaling strokes so it stays crisp at any width. */ export function Sparkline({ data, fourStar, fiveStar, status, height = 48, showThresholdLabels = false, className, }: SparklineProps) { const W = 100 const H = 40 const padY = 4 const rates = data.map((d) => d.rate) const min = Math.min(...rates, fourStar, fiveStar) const max = Math.max(...rates, fourStar, fiveStar) const span = max - min || 1 const y = (v: number) => padY + (H - padY * 2) * (1 - (v - min) / span) const x = (i: number) => data.length <= 1 ? 0 : (W * i) / (data.length - 1) const linePath = data .map((d, i) => `${i === 0 ? "M" : "L"} ${x(i).toFixed(2)} ${y(d.rate).toFixed(2)}`) .join(" ") const areaPath = `${linePath} L ${W} ${H} L 0 ${H} Z` const lastX = x(data.length - 1) const lastY = y(data[data.length - 1]?.rate ?? 0) const gradientId = `spark-${status}-${Math.round(fourStar * 10)}` return (

{showThresholdLabels && (

5★ {fiveStar.toFixed(1)}% 4★ {fourStar.toFixed(1)}%

)}

) } [V0_FILE]typescriptreact:file="components/quality/status-badge.tsx" isMerged="true" import { CheckCircle2, AlertTriangle, XCircle } from "lucide-react" import { STATUS_META, type MeasureStatus } from "@/lib/quality-data" import { cn } from "@/lib/utils" const STATUS_STYLES: Record = { above: "bg-success-soft text-success border-success-border", "at-risk": "bg-warning-soft text-warning border-warning-border", below: "bg-danger-soft text-danger border-danger-border", } const STATUS_ICON: Record = { above: CheckCircle2, "at-risk": AlertTriangle, below: XCircle, } export function StatusBadge({ status, size = "sm", className, }: { status: MeasureStatus size?: "sm" | "md" className?: string }) { const Icon = STATUS_ICON[status] return ( {STATUS_META[status].label} ) } [V0_FILE]typescriptreact:file="components/quality/resident-drilldown.tsx" isMerged="true" "use client" import { ChevronRight, Users, ArrowUpRight, Clock } from "lucide-react" import { Table, TableBody, TableCell, TableHead, TableHeader, TableRow, } from "@/components/ui/table" import { Button } from "@/components/ui/button" import { Empty, EmptyHeader, EmptyMedia, EmptyTitle, EmptyDescription } from "@/components/ui/empty" import type { ContributingResident, QualityMeasure } from "@/lib/quality-data" import { cn } from "@/lib/utils" function formatDate(iso: string) { return new Date(iso).toLocaleDateString("en-US", { month: "short", day: "numeric", year: "numeric", }) } function ArdPill({ resident }: { resident: ContributingResident }) { const d = resident.ardDaysRemaining const closed = d < 0 const urgent = d >= 0 && d <= 2 return (

{formatDate(resident.ard)} {closed ? "ARD closed" : d === 0 ? "Closes today" : `${d}d to ARD`}

) } export function ResidentDrilldown({ measure, onSelectResident, }: { measure: QualityMeasure onSelectResident: (resident: ContributingResident) => void }) { if (measure.residents.length === 0) { return ( No contributing residents No residents in the current MDS lookback window are driving this measure. New triggers will appear here as assessments sync from PointClickCare. ) } return (

Residents driving {measure.shortName}

{measure.residents.length} residents in the MDS lookback window · sourced from PCC

{/* Desktop table */}

Resident Room Relevant MDS Item ARD Date Last Clinical Event Open chart {measure.residents.map((r) => ( onSelectResident(r)} onKeyDown={(e) => { if (e.key === "Enter" || e.key === " ") { e.preventDefault() onSelectResident(r) } }} className="group cursor-pointer focus-visible:outline-none focus-visible:ring-2 focus-visible:ring-ring focus-visible:ring-inset" > {r.name} {r.room}

{r.mdsItem} {r.mdsValue} · {r.assessmentType}

{r.lastEvent} {formatDate(r.lastEventDate)}

))}

{/* Mobile cards */}

) } [V0_FILE]typescriptreact:file="components/quality/measure-card.tsx" isMerged="true" "use client" import { TrendingUp, TrendingDown, Minus, ChevronDown } from "lucide-react" import { Sparkline } from "./sparkline" import { StatusBadge } from "./status-badge" import { ResidentDrilldown } from "./resident-drilldown" import { formatRate, type ContributingResident, type QualityMeasure, } from "@/lib/quality-data" import { cn } from "@/lib/utils" function ChangeIndicator({ measure }: { measure: QualityMeasure }) { const { changePp, direction } = measure if (changePp === 0) { return ( No change ) } const rising = changePp > 0 // "Good" when moving in the beneficial direction for this measure. const good = direction === "lower-better" ? !rising : rising const Icon = rising ? TrendingUp : TrendingDown return ( {rising ? "+" : ""} {changePp.toFixed(1)}pp this window ) } function Comparison({ label, value, unit }: { label: string; value: number; unit: "%" }) { return (

{label}

{formatRate(value, unit)}

) } export function MeasureCard({ measure, expanded, onToggle, onSelectResident, }: { measure: QualityMeasure expanded: boolean onToggle: () => void onSelectResident: (resident: ContributingResident) => void }) { const panelId = `measure-panel-${measure.id}` const headingId = `measure-heading-${measure.id}` return (

{expanded && (

{measure.description}

)}

) } [V0_FILE]typescriptreact:file="components/quality/app-shell.tsx" isMerged="true" "use client" import { useState, type ReactNode } from "react" import { LayoutDashboard, Users, Mic, Activity, ClipboardList, FileBarChart, Settings, Menu, BrainCircuit, } from "lucide-react" import { Sheet, SheetContent, SheetTrigger, SheetTitle } from "@/components/ui/sheet" import { Button } from "@/components/ui/button" import { cn } from "@/lib/utils" interface NavItem { label: string icon: typeof LayoutDashboard active?: boolean badge?: string } const NAV: NavItem[] = [ { label: "Dashboard", icon: LayoutDashboard }, { label: "Residents", icon: Users }, { label: "Scribe", icon: Mic }, { label: "Quality Measures", icon: Activity, active: true, badge: "3" }, { label: "Care Plans", icon: ClipboardList }, { label: "Reports", icon: FileBarChart }, ] function NavList({ onNavigate }: { onNavigate?: () => void }) { return ( ) } function SidebarBody({ onNavigate }: { onNavigate?: () => void }) { return (

Carebrain

Clinical Intelligence

Settings

Maria Contreras

Director of Nursing

) } export function AppShell({ children }: { children: ReactNode }) { const [open, setOpen] = useState(false) return (

{/* Desktop sidebar */}

{/* Mobile top bar */}

Carebrain navigation setOpen(false)} />

Carebrain

{children}

) } [V0_FILE]typescriptreact:file="components/quality/quality-dashboard.tsx" isMerged="true" "use client" import { useState } from "react" import useSWR from "swr" import { CalendarDays, RefreshCw, AlertOctagon, Star, Building2, ArrowUpRight, Stethoscope, } from "lucide-react" import { Select, SelectContent, SelectItem, SelectTrigger, SelectValue, } from "@/components/ui/select" import { Button } from "@/components/ui/button" import { Skeleton } from "@/components/ui/skeleton" import { Dialog, DialogContent, DialogHeader, DialogTitle, DialogDescription, DialogFooter, } from "@/components/ui/dialog" import { MeasureCard } from "./measure-card" import { StatusBadge } from "./status-badge" import { DATE_RANGE_LABELS, type ContributingResident, type DateRange, type FacilityScorecard, } from "@/lib/quality-data" const fetcher = async (url: string): Promise => { const res = await fetch(url) if (!res.ok) throw new Error("Failed to load quality measures") return res.json() } function LastSync({ iso }: { iso: string }) { const d = new Date(iso) return ( MDS synced{" "} {d.toLocaleDateString("en-US", { month: "short", day: "numeric" })} ·{" "} {d.toLocaleTimeString("en-US", { hour: "numeric", minute: "2-digit" })} ) } function DashboardSkeleton() { return (

{Array.from({ length: 6 }).map((_, i) => (

))}

) } export function QualityDashboard() { const [range, setRange] = useState("90") const [expandedId, setExpandedId] = useState("pressure-ulcers") const [resident, setResident] = useState(null) const { data, error, isLoading, mutate, isValidating } = useSWR( `/api/quality-measures?range=${range}`, fetcher, { keepPreviousData: true }, ) const flaggedCount = data?.measures.filter((m) => m.status !== "above").length ?? 0 return (

{/* Page header */}

Quality Measures

Quality Measures{" "} — {data?.facilityName ?? "Riverside SNF"}

{data?.location ?? "Columbus, OH"} · CCN {data?.ccn ?? "36-A142"} · {data?.bedCount ?? 120} beds {data?.overallStars ?? 3}-Star overall {data && }

{/* Risk summary strip */} {data && (

{flaggedCount > 0 ? ( <> {flaggedCount} of {data.measures.length} measures need attention relative to Five-Star thresholds over the {DATE_RANGE_LABELS[range].toLowerCase()}. ) : ( All measures are tracking at or above their 4★ cutoff. )}

)}

{/* Body */}

{error ? (

Couldn't load quality measures

The PointClickCare MDS feed didn't respond. Your data is safe — try again.

) : isLoading && !data ? ( ) : data ? (

{data.measures.map((measure) => ( setExpandedId((cur) => (cur === measure.id ? null : measure.id)) } onSelectResident={setResident} /> ))}

) : null}

Rates are computed by the Carebrain CMS Quality Measure engine from MDS data in PointClickCare and are a leading indicator, not a certified CMS rate. Thresholds reflect the current CMS Five-Star cutoff tables.

{/* Resident chart preview dialog */}

) } [V0_FILE]typescriptreact:file="app/page.tsx" import { AppShell } from "@/components/quality/app-shell" import { QualityDashboard } from "@/components/quality/quality-dashboard" export default function Page() { return ( ) }40:o9,b0:Tcf58,40:ocf58,[V0_FILE]css:file="app/globals.css" isMerged="true" @import 'tailwindcss'; @import 'tw-animate-css'; @custom-variant dark (&:is(.dark *)); :root { /* Neutrals */ --background: #f3f4f6; --foreground: #1f2430; --card: #ffffff; --card-foreground: #1f2430; --popover: #ffffff; --popover-foreground: #1f2430; /* Brand — Carebrain deep purple */ --primary: #9333ea; --primary-foreground: #ffffff; --brand-soft: #f4ebfe; --brand-ring: #c99bf6; --secondary: #f3f0f7; --secondary-foreground: #4a2f66; --muted: #f1f2f4; --muted-foreground: #6b7280; --accent: #f4ebfe; --accent-foreground: #6b21a8; --destructive: #dc2626; --destructive-foreground: #ffffff; --border: #e5e7eb; --input: #e5e7eb; --ring: #9333ea; /* Semantic clinical status (load-bearing: threshold classification) */ --success: #15803d; --success-foreground: #ffffff; --success-soft: #dcfce7; --success-border: #bbf7d0; --warning: #b45309; --warning-foreground: #ffffff; --warning-soft: #fef3c7; --warning-border: #fde68a; --danger: #b91c1c; --danger-foreground: #ffffff; --danger-soft: #fee2e2; --danger-border: #fecaca; /* Sidebar app shell — deep purple */ --sidebar: #4c1d76; --sidebar-foreground: #efe7f7; --sidebar-primary: #ffffff; --sidebar-primary-foreground: #4c1d76; --sidebar-accent: #6d28a8; --sidebar-accent-foreground: #ffffff; --sidebar-border: #6d28a8; --sidebar-ring: #c99bf6; --chart-1: #9333ea; --chart-2: #15803d; --chart-3: #b45309; --chart-4: #b91c1c; --chart-5: #6b7280; --radius: 0.75rem; } @theme inline { --font-sans: var(--font-inter), ui-sans-serif, system-ui, sans-serif; --font-mono: 'Geist Mono', 'Geist Mono Fallback'; --color-background: var(--background); --color-foreground: var(--foreground); --color-card: var(--card); --color-card-foreground: var(--card-foreground); --color-popover: var(--popover); --color-popover-foreground: var(--popover-foreground); --color-primary: var(--primary); --color-primary-foreground: var(--primary-foreground); --color-brand-soft: var(--brand-soft); --color-brand-ring: var(--brand-ring); --color-secondary: var(--secondary); --color-secondary-foreground: var(--secondary-foreground); --color-muted: var(--muted); --color-muted-foreground: var(--muted-foreground); --color-accent: var(--accent); --color-accent-foreground: var(--accent-foreground); --color-destructive: var(--destructive); --color-destructive-foreground: var(--destructive-foreground); --color-border: var(--border); --color-input: var(--input); --color-ring: var(--ring); --color-success: var(--success); --color-success-foreground: var(--success-foreground); --color-success-soft: var(--success-soft); --color-success-border: var(--success-border); --color-warning: var(--warning); --color-warning-foreground: var(--warning-foreground); --color-warning-soft: var(--warning-soft); --color-warning-border: var(--warning-border); --color-danger: var(--danger); --color-danger-foreground: var(--danger-foreground); --color-danger-soft: var(--danger-soft); --color-danger-border: var(--danger-border); --color-chart-1: var(--chart-1); --color-chart-2: var(--chart-2); --color-chart-3: var(--chart-3); --color-chart-4: var(--chart-4); --color-chart-5: var(--chart-5); --color-sidebar: var(--sidebar); --color-sidebar-foreground: var(--sidebar-foreground); --color-sidebar-primary: var(--sidebar-primary); --color-sidebar-primary-foreground: var(--sidebar-primary-foreground); --color-sidebar-accent: var(--sidebar-accent); --color-sidebar-accent-foreground: var(--sidebar-accent-foreground); --color-sidebar-border: var(--sidebar-border); --color-sidebar-ring: var(--sidebar-ring); --radius-sm: calc(var(--radius) - 4px); --radius-md: calc(var(--radius) - 2px); --radius-lg: var(--radius); --radius-xl: calc(var(--radius) + 4px); } @layer base { * { @apply border-border outline-ring/50; } body { @apply bg-background text-foreground; } } [V0_FILE]json:file="package.json" isMerged="true" { "name": "my-project", "version": "0.1.0", "private": true, "scripts": { "dev": "next dev", "build": "next build", "start": "next start", "lint": "eslint ." }, "dependencies": { "@hookform/resolvers": "^3.9.1", "@vercel/analytics": "1.6.1", "@radix-ui/react-accordion": "1.2.12", "@radix-ui/react-alert-dialog": "1.1.15", "@radix-ui/react-aspect-ratio": "1.1.8", "@radix-ui/react-avatar": "1.1.11", "@radix-ui/react-checkbox": "1.3.3", "@radix-ui/react-collapsible": "1.1.12", "@radix-ui/react-context-menu": "2.2.16", "@radix-ui/react-dialog": "1.1.15", "@radix-ui/react-dropdown-menu": "2.1.16", "@radix-ui/react-hover-card": "1.1.15", "@radix-ui/react-label": "2.1.8", "@radix-ui/react-menubar": "1.1.16", "@radix-ui/react-navigation-menu": "1.2.14", "@radix-ui/react-popover": "1.1.15", "@radix-ui/react-progress": "1.1.8", "@radix-ui/react-radio-group": "1.3.8", "@radix-ui/react-scroll-area": "1.2.10", "@radix-ui/react-select": "2.2.6", "@radix-ui/react-separator": "1.1.8", "@radix-ui/react-slider": "1.3.6", "@radix-ui/react-slot": "1.2.4", "@radix-ui/react-switch": "1.2.6", "@radix-ui/react-tabs": "1.1.13", "@radix-ui/react-toast": "1.2.15", "@radix-ui/react-toggle": "1.1.10", "@radix-ui/react-toggle-group": "1.1.11", "@radix-ui/react-tooltip": "1.2.8", "autoprefixer": "^10.4.20", "class-variance-authority": "^0.7.1", "clsx": "^2.1.1", "cmdk": "1.1.1", "date-fns": "4.1.0", "embla-carousel-react": "8.6.0", "input-otp": "1.4.2", "lucide-react": "^0.564.0", "next": "16.2.6", "next-themes": "^0.4.6", "react": "19.2.4", "react-day-picker": "9.13.2", "react-dom": "19.2.4", "react-hook-form": "^7.54.1", "react-resizable-panels": "^2.1.7", "recharts": "2.15.0", "sonner": "^1.7.1", "tailwind-merge": "^3.3.1", "vaul": "^1.1.2", "zod": "^3.24.1", "tailwindcss-animate": "1.0.7", "swr": "2.5.0" }, "devDependencies": { "@tailwindcss/postcss": "^4.2.0", "@types/node": "^24", "@types/react": "19.2.14", "@types/react-dom": "19.2.3", "postcss": "^8.5", "tailwindcss": "^4.2.0", "tw-animate-css": "1.3.3", "typescript": "5.7.3" } } [V0_FILE]typescriptreact:file="app/layout.tsx" isMerged="true" import type { Metadata, Viewport } from 'next' import { Inter } from 'next/font/google' import { Analytics } from '@vercel/analytics/next' import './globals.css' const inter = Inter({ subsets: ['latin'], variable: '--font-inter', display: 'swap', }) export const metadata: Metadata = { title: 'Quality Measures — Riverside SNF | Carebrain', description: 'Real-time CMS quality measure tracking for skilled nursing facilities. Monitor Five-Star thresholds, trends, and resident-level drivers inside Carebrain.', generator: 'v0.app', } export const viewport: Viewport = { themeColor: '#9333ea', width: 'device-width', initialScale: 1, } export default function RootLayout({ children, }: Readonly<{ children: React.ReactNode }>) { return ( {children} {process.env.NODE_ENV === 'production' && } ) } [V0_FILE]typescript:file="lib/quality-data.ts" isMerged="true" // Domain model + demo dataset for the Quality Measure Tracking Dashboard. // Data mirrors the shape of what the CMS Quality Measure Calculation Engine // would emit after ingesting MDS item-level responses from the PCC feed. export type MeasureStatus = "above" | "at-risk" | "below" // Whether a lower rate is better (e.g. pressure ulcers) or a higher rate is // better (e.g. functional improvement). Drives status classification + copy. export type MeasureDirection = "lower-better" | "higher-better" export interface TrendPoint { /** ISO date for the weekly rolling window snapshot */ date: string rate: number } export interface ContributingResident { id: string name: string room: string /** Human-readable MDS item + coded value driving the measure */ mdsItem: string mdsValue: string /** Assessment Reference Date */ ard: string assessmentType: string lastEvent: string lastEventDate: string /** Days until the ARD locks; negative means already closed */ ardDaysRemaining: number } export interface QualityMeasure { id: string name: string shortName: string population: "Long-stay" | "Short-stay" | "All" unit: "%" direction: MeasureDirection current: number nationalAverage: number fourStarCutoff: number fiveStarCutoff: number status: MeasureStatus /** Change vs. start of the selected window, in percentage points */ changePp: number trend: TrendPoint[] description: string residents: ContributingResident[] } export interface FacilityScorecard { facilityName: string location: string ccn: string bedCount: number overallStars: number lastMdsSync: string measures: QualityMeasure[] } export type DateRange = "30" | "60" | "90" export const DATE_RANGE_LABELS: Record = { "30": "Last 30 Days", "60": "Last 60 Days", "90": "Last 90 Days", } function makeTrend(values: number[], startDaysAgo: number): TrendPoint[] { const step = startDaysAgo / (values.length - 1) const now = Date.UTC(2026, 5, 12) // 2026-06-12, matches PRD "last updated" return values.map((rate, i) => { const d = new Date(now - (startDaysAgo - i * step) * 86400000) return { date: d.toISOString().slice(0, 10), rate } }) } export const SCORECARD: FacilityScorecard = { facilityName: "Riverside SNF", location: "Columbus, OH", ccn: "36-A142", bedCount: 120, overallStars: 3, lastMdsSync: "2026-06-11T06:15:00Z", measures: [ { id: "pressure-ulcers", name: "Pressure Ulcers: New or Worsened", shortName: "Pressure Ulcers", population: "Long-stay", unit: "%", direction: "lower-better", current: 8.2, nationalAverage: 8.0, fourStarCutoff: 7.1, fiveStarCutoff: 5.4, status: "at-risk", changePp: 1.1, trend: makeTrend([6.9, 7.0, 7.2, 7.1, 7.4, 7.6, 7.5, 7.8, 8.0, 7.9, 8.1, 8.2, 8.2], 90), description: "Percent of long-stay residents with new or worsened Stage 2–4 pressure ulcers (MDS Section M).", residents: [ { id: "r-214", name: "Eleanor Whitfield", room: "214", mdsItem: "M0300B — Stage 2", mdsValue: "1 new", ard: "2026-06-18", assessmentType: "Quarterly", lastEvent: "Stage 2 ulcer documented", lastEventDate: "2026-06-04", ardDaysRemaining: 6, }, { id: "r-108", name: "Harold Nguyen", room: "108", mdsItem: "M1300 — Braden score", mdsValue: "14 (↓ from 18)", ard: "2026-06-15", assessmentType: "SCSA", lastEvent: "Braden decline, no wound note", lastEventDate: "2026-05-29", ardDaysRemaining: 3, }, { id: "r-331", name: "Dorothy Alvarez", room: "331", mdsItem: "M0300C — Stage 3", mdsValue: "1 worsened", ard: "2026-06-13", assessmentType: "SCSA", lastEvent: "SCSA filed, skin assessment stale", lastEventDate: "2026-06-02", ardDaysRemaining: 1, }, ], }, { id: "falls-major-injury", name: "Falls with Major Injury", shortName: "Falls w/ Major Injury", population: "Long-stay", unit: "%", direction: "lower-better", current: 3.4, nationalAverage: 3.4, fourStarCutoff: 3.0, fiveStarCutoff: 2.1, status: "at-risk", changePp: 0.3, trend: makeTrend([3.0, 3.1, 3.0, 3.2, 3.1, 3.3, 3.2, 3.3, 3.4, 3.3, 3.5, 3.4, 3.4], 90), description: "Percent of long-stay residents experiencing one or more falls with major injury (MDS Section J).", residents: [ { id: "r-127", name: "James Okafor", room: "127", mdsItem: "J1900C — Major injury", mdsValue: "Fracture", ard: "2026-06-20", assessmentType: "Quarterly", lastEvent: "Witnessed fall, hip fracture", lastEventDate: "2026-06-07", ardDaysRemaining: 8, }, { id: "r-233", name: "Margaret Chen", room: "233", mdsItem: "J1800 — Any fall", mdsValue: "2 falls", ard: "2026-06-16", assessmentType: "Annual", lastEvent: "Unwitnessed fall, head lac", lastEventDate: "2026-06-01", ardDaysRemaining: 4, }, ], }, { id: "functional-improvement", name: "Functional Improvement (GG Self-Care & Mobility)", shortName: "Functional Improvement", population: "Short-stay", unit: "%", direction: "higher-better", current: 68.4, nationalAverage: 64.0, fourStarCutoff: 66.0, fiveStarCutoff: 72.0, status: "above", changePp: 2.6, trend: makeTrend([65.0, 65.4, 65.8, 66.1, 66.5, 66.9, 67.2, 67.4, 67.8, 68.0, 68.1, 68.3, 68.4], 90), description: "Percent of short-stay residents meeting or exceeding expected GG self-care and mobility discharge goals.", residents: [], }, { id: "discharge-to-community", name: "Discharge to Community", shortName: "Discharge to Community", population: "Short-stay", unit: "%", direction: "higher-better", current: 51.2, nationalAverage: 55.0, fourStarCutoff: 57.0, fiveStarCutoff: 63.0, status: "below", changePp: -2.1, trend: makeTrend([53.3, 53.0, 52.6, 52.4, 52.1, 51.9, 51.8, 51.6, 51.5, 51.4, 51.3, 51.2, 51.2], 90), description: "Percent of short-stay residents discharged to the community without an unplanned readmission or death within 31 days.", residents: [ { id: "r-119", name: "Robert Delgado", room: "119", mdsItem: "A2105 — Discharge status", mdsValue: "SNF transfer", ard: "2026-06-14", assessmentType: "Discharge", lastEvent: "Readmitted day 12", lastEventDate: "2026-05-30", ardDaysRemaining: 2, }, { id: "r-205", name: "Patricia Boone", room: "205", mdsItem: "GG0170 — Mobility", mdsValue: "No goal met", ard: "2026-06-19", assessmentType: "Discharge", lastEvent: "PT plateau documented", lastEventDate: "2026-06-05", ardDaysRemaining: 7, }, ], }, { id: "antipsychotic-use", name: "Antipsychotic Medication Use", shortName: "Antipsychotic Use", population: "Long-stay", unit: "%", direction: "lower-better", current: 14.1, nationalAverage: 14.5, fourStarCutoff: 13.0, fiveStarCutoff: 9.8, status: "at-risk", changePp: 0.4, trend: makeTrend([13.5, 13.6, 13.7, 13.6, 13.8, 13.9, 13.8, 14.0, 14.0, 14.1, 14.0, 14.1, 14.1], 90), description: "Percent of long-stay residents receiving an antipsychotic medication without a supporting diagnosis (MDS Section N).", residents: [ { id: "r-142", name: "Frank Sullivan", room: "142", mdsItem: "N0410A — Antipsychotic", mdsValue: "Daily, no dx", ard: "2026-06-17", assessmentType: "Quarterly", lastEvent: "New order, GDR not attempted", lastEventDate: "2026-06-03", ardDaysRemaining: 5, }, ], }, { id: "readmissions", name: "30-Day Potentially Preventable Readmissions", shortName: "30-Day Readmissions", population: "All", unit: "%", direction: "lower-better", current: 9.2, nationalAverage: 10.2, fourStarCutoff: 9.5, fiveStarCutoff: 7.9, status: "above", changePp: -0.6, trend: makeTrend([9.8, 9.7, 9.7, 9.6, 9.5, 9.5, 9.4, 9.4, 9.3, 9.3, 9.2, 9.2, 9.2], 90), description: "Risk-adjusted rate of potentially preventable 30-day all-cause hospital readmissions (SNF VBP).", residents: [], }, ], } export const STATUS_META: Record< MeasureStatus, { label: string; short: string; description: string } > = { above: { label: "Above threshold", short: "On track", description: "Meeting the 4★ cutoff or better", }, "at-risk": { label: "At risk", short: "At risk", description: "Between national average and the 4★ cutoff", }, below: { label: "Below threshold", short: "Below", description: "Missing the national average and 4★ cutoff", }, } export function formatRate(value: number, unit: "%" = "%") { return `${value.toFixed(1)}${unit}` } [V0_FILE]typescript:file="app/api/quality-measures/route.ts" isMerged="true" import { NextResponse } from "next/server" import { SCORECARD, type DateRange, type FacilityScorecard } from "@/lib/quality-data" const VALID_RANGES: DateRange[] = ["30", "60", "90"] // Slice each measure's trend to the requested rolling window and recompute the // change-over-window. Mirrors what the Longitudinal Trend Aggregator would do. function scopeToRange(range: DateRange): FacilityScorecard { const days = Number(range) const cutoff = Date.UTC(2026, 5, 12) - days * 86400000 return { ...SCORECARD, measures: SCORECARD.measures.map((m) => { const trend = m.trend.filter((p) => new Date(p.date).getTime() >= cutoff) const scoped = trend.length >= 2 ? trend : m.trend.slice(-2) const changePp = Number( (scoped[scoped.length - 1].rate - scoped[0].rate).toFixed(1), ) return { ...m, trend: scoped, changePp } }), } } export async function GET(request: Request) { const { searchParams } = new URL(request.url) const rangeParam = searchParams.get("range") ?? "90" const range: DateRange = VALID_RANGES.includes(rangeParam as DateRange) ? (rangeParam as DateRange) : "90" // Simulate the PCC/aggregator round-trip so the loading state is exercised. await new Promise((r) => setTimeout(r, 350)) return NextResponse.json(scopeToRange(range), { headers: { "Cache-Control": "no-store" }, }) } [V0_FILE]typescriptreact:file="components/quality/sparkline.tsx" isMerged="true" import type { MeasureStatus, TrendPoint } from "@/lib/quality-data" import { cn } from "@/lib/utils" const STATUS_STROKE: Record = { above: "text-success", "at-risk": "text-warning", below: "text-danger", } interface SparklineProps { data: TrendPoint[] fourStar: number fiveStar: number status: MeasureStatus height?: number showThresholdLabels?: boolean className?: string } /** * Compact trend sparkline with 4★ / 5★ threshold reference lines. * Uses a fixed viewBox with non-scaling strokes so it stays crisp at any width. */ export function Sparkline({ data, fourStar, fiveStar, status, height = 48, showThresholdLabels = false, className, }: SparklineProps) { const W = 100 const H = 40 const padY = 4 const rates = data.map((d) => d.rate) const min = Math.min(...rates, fourStar, fiveStar) const max = Math.max(...rates, fourStar, fiveStar) const span = max - min || 1 const y = (v: number) => padY + (H - padY * 2) * (1 - (v - min) / span) const x = (i: number) => data.length <= 1 ? 0 : (W * i) / (data.length - 1) const linePath = data .map((d, i) => `${i === 0 ? "M" : "L"} ${x(i).toFixed(2)} ${y(d.rate).toFixed(2)}`) .join(" ") const areaPath = `${linePath} L ${W} ${H} L 0 ${H} Z` const lastX = x(data.length - 1) const lastY = y(data[data.length - 1]?.rate ?? 0) const gradientId = `spark-${status}-${Math.round(fourStar * 10)}` return (

{showThresholdLabels && (

5★ {fiveStar.toFixed(1)}% 4★ {fourStar.toFixed(1)}%

)}

{formatDate(resident.ard)} {closed ? "ARD closed" : d === 0 ? "Closes today" : `${d}d to ARD`}

Residents driving {measure.shortName}

{measure.residents.length} residents in the MDS lookback window · sourced from PCC

{/* Desktop table */}

{r.mdsItem} {r.mdsValue} · {r.assessmentType}

{r.lastEvent} {formatDate(r.lastEventDate)}

))}

{/* Mobile cards */}

{label}

{formatRate(value, unit)}

{expanded && (

{measure.description}

)}

Carebrain

Clinical Intelligence

Settings

Maria Contreras

Director of Nursing

) } export function AppShell({ children }: { children: ReactNode }) { const [open, setOpen] = useState(false) return (

{/* Desktop sidebar */}

{/* Mobile top bar */}

Carebrain navigation setOpen(false)} />

Carebrain

{children}

{Array.from({ length: 6 }).map((_, i) => (

))}

{/* Page header */}

Quality Measures

Quality Measures{" "} — {data?.facilityName ?? "Riverside SNF"}

{data?.location ?? "Columbus, OH"} · CCN {data?.ccn ?? "36-A142"} · {data?.bedCount ?? 120} beds {data?.overallStars ?? 3}-Star overall {data && }

{/* Risk summary strip */} {data && (

)}

{/* Body */}

{error ? (

Couldn't load quality measures

The PointClickCare MDS feed didn't respond. Your data is safe — try again.

) : isLoading && !data ? ( ) : data ? (

{data.measures.map((measure) => ( setExpandedId((cur) => (cur === measure.id ? null : measure.id)) } onSelectResident={setResident} /> ))}

) : null}

{/* Resident chart preview dialog */}

) } [V0_FILE]typescriptreact:file="app/page.tsx" import { AppShell } from "@/components/quality/app-shell" import { QualityDashboard } from "@/components/quality/quality-dashboard" export default function Page() { return ( ) }40:o7a5d,48:["$","$L8f",null,{"params":{"chatId":"kHYAVj2Hr3a"},"promises":{"attributes":"$@99","externalMeta":"$@9a","latest":"$@9b","messagesRange":"$@9c","messages":"$@9d","template":"$@9e","gitStatus":"$@9f"},"children":["$","$La0",null,{"chatId":"kHYAVj2Hr3a","children":["$","$La1",null,{"seedOnlyKeys":["@\"chat:state\",\"kHYAVj2Hr3a\","],"data":{"block:output:initial":{"id":"b_ITlwPBzatfl","result":"$@a2"},"@\"block:mappings\",\"kHYAVj2Hr3a\",":{"sqlBlockExecutionStates":"$Qa3","blocksForkedFrom":"$Qa4","blocksTemplateIds":"$Qa5","blocksCreatedAt":"$Qa6","blocksShared":"$Qa7","blocksDeployed":"$Qa8","blocksSubdomains":"$Qa9","brandedBlocks":"$Qaa","unlistedBlocks":"$Qab","blockOutputs":"$Qac"},"@\"chat:state\",\"kHYAVj2Hr3a\",":{"messages":[{"content":{"type":"parts","parts":[{"type":"mdx","content":"$ad"}],"version":1},"role":"user","id":"2WZy6fqsxVUWgxgQVPCtskjZNtEpUxuJ","attachments":[],"type":"message","authorId":"hprc5MHdddH5t8c50A1vIwZs","createdAt":"$D2026-08-06T05:43:30.500Z"},{"v0ModelId":"v0-max","content":{"type":"message-binary-format","value":[[0,[["AssistantMessageContentPart",{"part":{"createdAt":1785995010876,"finishedAt":1785995010876,"lastPartSentAt":1785995010876,"id":"HwUAWv7fWqkvG2wq","type":"task-start-v1","parts":[{"type":"launch-tasks"}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"jKo5R2pv41JhZ5OI-Lvz51dxjYB1OgMTr-0fjtlFuv00TH4tED","parts":[{"createdAt":1785995010876,"finishedAt":1785995011047,"lastPartSentAt":1785995011022,"taskNameActive":"Loading figma skill","taskNameComplete":"Loaded figma skill","toolCallId":"tool_JIPlFPffUZgIkXox","agentTurnId":"turn_1effDPHEjibErsEf","filePath":null,"id":"jKo5R2pv41JhZ5OI","type":"task-skill-v1","parts":[{"type":"executing-skill","skillName":"figma"},{"type":"skill-result","skillName":"figma","fileCount":1,"isDesignSystem":false}]},{"createdAt":1785995018962,"finishedAt":1785995020183,"lastPartSentAt":1785995020153,"taskNameActive":"Exploring project structure","taskNameComplete":"Explored project structure","toolCallId":"toolu_01UMMihqovcaQfAXu7BtPc2i","agentTurnId":"turn_1effDPHEjibErsEf","filePath":null,"id":"Lvz51dxjYB1OgMTr","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":1}]},{"createdAt":1785995019209,"finishedAt":1785995020198,"lastPartSentAt":1785995020176,"taskNameActive":"Listing UI components","taskNameComplete":"Listed UI components","toolCallId":"toolu_019Ev41PrAvMtbWLixpnNL3L","agentTurnId":"turn_1effDPHEjibErsEf","filePath":null,"id":"0fjtlFuv00TH4tED","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":56}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 2 Searches • 1 Skill","taskNameComplete":"Explore • 2 Searches • 1 Skill"},"id":"jKo5R2pv41JhZ5OI-Lvz51dxjYB1OgMTr-0fjtlFuv00TH4tED"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995018045,"finishedAt":1785995018914,"lastPartSentAt":1785995018914,"taskNameActive":null,"id":"swruMF2qaSlIyUtx","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Looking at the project structure and existing Carebrain platform context to understand what's already in place. I'm focusing on building a production-grade Quality Measure Tracking Dashboard with the deep purple brand color, and I'll work with the design tokens and spec rather than making unnecessary API calls."}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785995023838,"finishedAt":1785995024133,"lastPartSentAt":1785995024133,"taskNameActive":null,"id":"ZvmuoyFgyCemlL96","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":0,"thought":"I'm starting with a fresh project that has the basic layout file and shadcn/ui components set up, so let me review the layout structure and global styles to understand what I'm working with."}]}}],["AssistantMessageContentPart",{"part":{"type":"task-grouped-tasks-v1","id":"8n1Mf9cbX8Gmcuvt-4JBG8xBRIE22V2li","parts":[{"createdAt":1785995024451,"finishedAt":1785995025189,"lastPartSentAt":1785995025151,"taskNameActive":"Reading layout","taskNameComplete":"Read layout","toolCallId":"toolu_01A5qeL5oi5jQ57wKixXqVG2","agentTurnId":"turn_8jUBXMfsFY7KFM4i","filePath":null,"id":"8n1Mf9cbX8Gmcuvt","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"app/layout.tsx"}]},{"createdAt":1785995024712,"finishedAt":1785995025234,"lastPartSentAt":1785995025193,"taskNameActive":"Finding globals","taskNameComplete":"Found globals","toolCallId":"toolu_01Y3Ue2Sb8xwZrgZzNdfRGsQ","agentTurnId":"turn_8jUBXMfsFY7KFM4i","filePath":null,"id":"4JBG8xBRIE22V2li","type":"task-ls-repo-v1","parts":[{"type":"ls"},{"type":"ls-results","numFiles":1}]}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Explore • 1 File • 1 Search","taskNameComplete":"Explore • 1 File • 1 Search"},"id":"8n1Mf9cbX8Gmcuvt-4JBG8xBRIE22V2li"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995030425,"finishedAt":1785995030920,"lastPartSentAt":1785995030900,"taskNameActive":"Reading globals.css","taskNameComplete":"Read globals.css","toolCallId":"toolu_019JRFFcnP7gFgvPW39DJrHa","agentTurnId":"turn_OIdoMD0tdGp6r7aQ","filePath":null,"id":"cNCryHG13l8eXhXf","type":"task-read-file-v1","parts":[{"type":"reading-file","filePath":"app/globals.css"}]}}],["AssistantMessageContentPart",{"part":{"createdAt":1785995035848,"finishedAt":1785995072140,"lastPartSentAt":1785995072140,"taskNameActive":null,"id":"1Ixf7e32yv5Ka3HJ","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":36,"thought":"$ae"}]}}],["p",{},["text",{},"This is a fresh shadcn/ui project. I have the design tokens and full spec, so I'll build the dashboard directly rather than burning Figma API rate limits. Let me set up the theme, then build the page and components."]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_HTjoAQnFHTw","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"app/globals.css","baseName":"globals.css","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]css:file=\"app/globals.css\" \nGENERATING","sourceVersionKey":"v_1_dj861_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_HTjoAQnFHTw","meta":{"taskNameActive":"Writing theme tokens","taskNameComplete":"Wrote theme tokens","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing theme tokens","taskNameComplete":"Wrote theme tokens"},"id":"block-b_HTjoAQnFHTw"}],["p",{},["text",{},"Now the layout with Inter font and proper 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effect):"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_y6LfKN616RR","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"app/api/quality-measures/route.ts","baseName":"route.ts","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]ts:file=\"app/api/quality-measures/route.ts\" \nGENERATING","sourceVersionKey":"v_1_tlin2_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_y6LfKN616RR","meta":{"taskNameActive":"Writing API route","taskNameComplete":"Wrote API route","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Writing API route","taskNameComplete":"Wrote API 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The component accepts data points, threshold values, and a size mode to switch between compact card view and expanded view, scaling everything to fit a responsive viewBox while keeping stroke widths consistent across different sizes.\n\nWriting sparkline component..."}]}}],["p",{},["text",{},"Now the sparkline component (small SVG trend chart with 4★/5★ reference lines):"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_Cnvd93L4RLQ","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/sparkline.tsx","baseName":"sparkline.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/sparkline.tsx\" \nGENERATING","sourceVersionKey":"v_1_l7ui7_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_Cnvd93L4RLQ","meta":{"taskNameActive":"Building sparkline","taskNameComplete":"Built sparkline","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Building sparkline","taskNameComplete":"Built sparkline"},"id":"block-b_Cnvd93L4RLQ"}],["p",{},["text",{},"Now the status badge:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_f3pTWk4VY9o","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/status-badge.tsx","baseName":"status-badge.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/status-badge.tsx\" \nGENERATING","sourceVersionKey":"v_1_kmadf_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_f3pTWk4VY9o","meta":{"taskNameActive":"Building status badge","taskNameComplete":"Built status badge","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Building status badge","taskNameComplete":"Built status badge"},"id":"block-b_f3pTWk4VY9o"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995218257,"finishedAt":1785995219199,"lastPartSentAt":1785995219199,"taskNameActive":null,"id":"FHpG3cBGVodjlvR5","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"Now I'm building the resident drill-down table with columns for name, room, relevant MDS item, ARD date, and last clinical event, including ARD countdown urgency indicators and clickable rows, plus a \"View All Residents\" call-to-action at the bottom. I'll create the resident-drilldown component that accepts the measure data and a handler for when residents are selected."}]}}],["p",{},["text",{},"Now the resident drill-down table:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_JdDYWmkf3xi","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/resident-drilldown.tsx","baseName":"resident-drilldown.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/resident-drilldown.tsx\" \nGENERATING","sourceVersionKey":"v_1_9atuq_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_JdDYWmkf3xi","meta":{"taskNameActive":"Building resident drill-down","taskNameComplete":"Built resident drill-down","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Building resident drill-down","taskNameComplete":"Built resident drill-down"},"id":"block-b_JdDYWmkf3xi"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995247955,"finishedAt":1785995251439,"lastPartSentAt":1785995251439,"taskNameActive":null,"id":"S8LxwFYXDsCgzELR","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":3,"thought":"I'm building out the measure card component with the measure name, population tag, large rate display, status badge, comparison to national average with star ratings, and a sparkline chart. There's also an expand toggle and change indicator. When expanded, the card reveals a drilldown section below it—the parent component handles rendering that in a full-width row beneath the card grid."}]}}],["p",{},["text",{},"Now the measure card:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_2u7BZPCR7Xc","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/measure-card.tsx","baseName":"measure-card.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/measure-card.tsx\" \nGENERATING","sourceVersionKey":"v_1_7m18p_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_2u7BZPCR7Xc","meta":{"taskNameActive":"Building measure card","taskNameComplete":"Built measure card","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Building measure card","taskNameComplete":"Built measure card"},"id":"block-b_2u7BZPCR7Xc"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995276894,"finishedAt":1785995277867,"lastPartSentAt":1785995277867,"taskNameActive":null,"id":"tWxtCSRKY5YXojmV","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":1,"thought":"I'm building out the app shell component with a fixed sidebar on desktop featuring the Carebrain logo, navigation items with Quality Measures highlighted as active, and a collapsible sheet-based navigation for mobile with a top bar trigger."}]}}],["p",{},["text",{},"Now the purple app-shell sidebar:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_X0PZS39J1sw","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/app-shell.tsx","baseName":"app-shell.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/app-shell.tsx\" \nGENERATING","sourceVersionKey":"v_1_bbp1m_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_X0PZS39J1sw","meta":{"taskNameActive":"Building app shell","taskNameComplete":"Built app shell","type":"code-project","id":"Code"},"closed":true,"lang":"typescriptreact"}],"createdAt":0,"finishedAt":1,"lastPartSentAt":1,"taskNameActive":"Building app shell","taskNameComplete":"Built app shell"},"id":"block-b_X0PZS39J1sw"}],["AssistantMessageContentPart",{"part":{"createdAt":1785995310017,"finishedAt":1785995312108,"lastPartSentAt":1785995312108,"taskNameActive":null,"id":"z8113RRlkzgaQ7kc","type":"task-thinking-v1","parts":[{"type":"thinking-end","duration":2,"thought":"I'm building the main dashboard component that fetches quality measures data with SWR, handling loading states with skeletons, error states with retry capability, and rendering a header with grid layout. The component manages state for the date range selector (defaulting to 90 days), which resident is expanded (starting with pressure ulcers), and tracks which resident is selected for the dialog modal.\n\nWhen a resident row is clicked, a dialog opens showing a summary of that resident's chart with an option to navigate to the full chart view. I'm also adding a summary strip at the top that displays counts of at-risk residents and measures below target.\n\nBuilding the component now..."}]}}],["p",{},["text",{},"Now the main dashboard orchestrator with SWR, date-range selector, loading/error/empty states, and resident dialog:"]],["AssistantMessageContentPart",{"part":{"type":"task-coding-v1","id":"block-b_ZJj1uJCyHD9","parts":[{"type":"code-project","isVersioned":false,"isSourceless":false,"changedFiles":[{"fileName":"components/quality/quality-dashboard.tsx","baseName":"quality-dashboard.tsx","isActive":false,"isTerminated":false,"isDeleted":false,"isMoved":false}],"source":"[V0_FILE]tsx:file=\"components/quality/quality-dashboard.tsx\" \nGENERATING","sourceVersionKey":"v_1_8e2c8_s3","needsBlockSource":true,"isAllImages":false,"blockId":"b_ZJj1uJCyHD9","meta":{"taskNameActive":"Building dashboard orchestrator","taskNameComplete":"Built dashboard 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Quality Measures{" "} — {data?.facilityName ?? "Riverside SNF"}

Residents driving {measure.shortName}

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Quality Measures{" "} — {data?.facilityName ?? "Riverside SNF"}