flowchart TD
A[ADT Event, Lab Result, or ICD-10 Code] --> B[Enrollment Engine evaluates criteria]
B --> C[Patient enrolled in one or more Pathways]
C --> D[Pathway Engine runs on schedule]
D --> P[Checks each required step]
D --> Q[Evaluates lab and vital thresholds]
D --> R[Runs conditional escalation logic]
P --> E[Deviations surfaced in Review Queue]
Q --> E
R --> E
E --> F[Care Team acts and marks step complete]
F --> G[Analytics Dashboard tracks outcomes]
style A fill:#dbeafe,stroke:#1a3a5c,color:#1a3a5c
style D fill:#f0f3f8,stroke:#1a3a5c,color:#1a3a5c
style P fill:#f0f3f8,stroke:#2d7dd2,color:#1a3a5c
style Q fill:#f0f3f8,stroke:#2d7dd2,color:#1a3a5c
style R fill:#f0f3f8,stroke:#2d7dd2,color:#1a3a5c
style E fill:#fef3c7,stroke:#92400e,color:#92400e
style G fill:#dcfce7,stroke:#166534,color:#166534
About CDQ (Care Data Quality)
CDQ (Care Data Quality) is a population health intelligence platform that continuously monitors every enrolled patient against structured, evidence-backed care pathways — and surfaces missed labs, overdue follow-ups, lapsed medications, and unordered referrals to the right care team members before they become readmissions, adverse events, or missed quality bonuses.
The Problem
Health systems have evidence-based guidelines for nearly every chronic condition. What they lack is a systematic, always-on mechanism to follow every patient against those guidelines simultaneously. Labs go unordered. Referrals fall through. Post-discharge follow-ups are missed. HEDIS gaps accumulate silently — and by the time a gap surfaces, it may already be a readmission, a missed quality bonus, or an adverse outcome.
What CDQ Does
CDQ (Care Data Quality) is a clinical pathway intelligence engine that monitors every enrolled patient against structured, evidence-backed care pathways — and surfaces deviations before they become adverse events.
The system automatically:
- Enrolls patients into one or more pathways based on ICD-10 diagnoses, active medications, lab results, or ADT discharge events
- Evaluates each patient on a defined schedule (daily for transitions of care; weekly/quarterly for chronic conditions)
- Detects deviations when a required step is overdue, missing, or outside the evidence-based threshold
- Prioritizes deviations by clinical severity (critical / high / moderate / low)
- Escalates automatically — abnormal lab results trigger referral steps, cross-enrollment, or care team alerts without manual intervention
- Traces every step back to the specific guideline section and HEDIS measure that mandates it
Why Health Systems Need It
| Pain Point | CDQ Solution |
|---|---|
| HEDIS measure gaps (HBD, CBP, KED, EED, COL-E, BCS-E, TRC-HF…) | Structured pathways mapped to each measure; gap detection fires before the measurement year closes |
| CMS readmission penalties (HRRP — HF, PNA, surgical) | Dedicated 30-day transitions of care pathways with day-by-day step tracking from discharge |
| Care coordination across specialists | Cross-pathway enrollment: a CKD result in the diabetes pathway auto-enrolls the patient in the CKD pathway |
| High-ED-utilizer costs | ED Frequent Utilizer pathway activates within 72 hours of a 3rd ED visit |
| Medication therapy gaps (statins, GDMT for HF, anticoagulation for AFib) | Medication audit steps with severity flags trigger care team alerts when prescriptions are missing |
| Behavioral health integration | Co-occurring condition pathways (Diabetes + Depression, Anxiety, OUD-MOUD) with collaborative care step sequences |
| Manual reporting burden | Pathway completion and deviation data is machine-generated, HEDIS-denominator-aware, and ready for analytics |
How It Works
39 pre-built pathways across three clinical tiers:
- Tier 1 High-Impact Core (11) — Diabetes, Hypertension, Heart Failure, CKD, Colorectal Cancer Screening, Breast Cancer Screening, HF Transitions of Care, MDD, AFib, Dyslipidemia, Annual Wellness Visit
- Tier 2 Population Health Expansion (14) — Cervical Cancer, Lung Cancer LDCT, COPD, Asthma, Obesity, Tobacco Cessation, Pneumonia TOC, Post-Surgical TOC, Adult Immunizations, OUD-MOUD, SDOH Screening, Prediabetes, SNF-to-Home, Hypertension Screening
- Tier 3 Complex & Specialty (14) — Well-Child/Pediatric, Alcohol Use Disorder, Joint Replacement, Bariatric Surgery, Colonoscopy, Cardiac Catheterization, Gynecologic Surgery, Cataract Surgery, Frequent ED Utilizer, Anxiety, Complex Care/High-Risk, Advance Care Planning, Maternal/Prenatal, Comorbid Diabetes+Depression
Platform Features
Customisable Pathways
- Add, remove, or resequence steps for your clinical protocols without software releases
- Deviation severity thresholds are configurable (e.g., adjust the HbA1c threshold that triggers an endocrinology escalation)
- New pathways can be authored and loaded without software releases
Evidence Traceability
- Every step linked to a specific guideline section (e.g., ADA 2025 §6.1, KDIGO 2024 §2.2, ACC/AHA 2022 §7.3) and HEDIS/CMS measure
- Reference links displayed in the care team UI alongside each deviation
- Audit-ready documentation of clinical rationale for every flagged gap
Conditional Escalation Logic
- Lab value thresholds trigger automatic protocol changes (e.g., BNP > 400 → urgent cardiology referral within 3 days)
- Cross-pathway enrollment without manual re-entry
- Real-time alerts for time-sensitive deviations (MOUD lapse, post-discharge no-show, critical lab result)
Severity-Tiered Review Queue
- Care teams see a prioritised worklist — critical deviations surface first
- Each deviation shows: patient name, pathway, step, days overdue, guideline reference
Analytics and Reporting
- Measure completion rates by pathway, provider, panel, and time period
- HEDIS-reportable numerator/denominator tracking
- Deviation trend analysis for population health program management
Integration Model
CDQ connects to existing clinical infrastructure rather than replacing it:
| Data Source | Used For |
|---|---|
| ADT events (HL7 / FHIR) | Enrollment trigger for transitions of care pathways |
| Lab results (HL7 / FHIR) | Step completion detection and threshold evaluation |
| ICD-10 diagnosis codes | Enrollment criteria and conditional logic |
| Medication fills (claims or EHR) | Medication audit steps and prescribing gap detection |
| Vital signs | Blood pressure, BMI, weight measurements |
| Appointment / encounter data | Visit completion tracking |
What This Is Not
CDQ (Care Data Quality) — Built on evidence. Designed for operational reality.