Patient Registries
Patient Registries provide out-of-the-box, automated registry solutions for common clinical use cases, combining data integration, AI-powered curation workflows, and regulatory reporting capabilities.
Automate Registry Development: Months --> Days
Pre-configured registry templates with automated case finding, clinical data extraction, expert review workflows, and regulatory reporting—built on standardized OMOP CDM data.
Automate Registry Abstraction with AI
Patient registries are organized systems for collecting uniform data on specific populations, diseases, or treatments to evaluate outcomes, track quality measures, and support research and public health initiatives.
Traditional registry development requires:
- Manual chart abstraction: Industry studies report significant time investment per case:
- Trauma registries: 70-90 minutes per chart on average, with complex cases taking up to 2 hours (ImageTrend TRRR study)
- Cardiovascular registries: Up to 1 hour per chart for experienced abstractors working with ACC-NCDR registries like CathPCI (with over 270 data elements)
- Time varies significantly based on case complexity, documentation quality, and abstractor experience
- Specialized registry abstractor training: Extensive certification and experience requirements:
- CTR (Certified Tumor Registrar): Requires more than 2 years of work experience to sit for NCRA certification exam
- 20 hours of continuing education every 2 years to maintain certification
- Cardiovascular registries prefer nurses or staff with 2+ years of cath lab experience
- Ongoing quality audits: ACC-NCDR audit process requires ~1 year including 3 months preparation, 3 months data abstraction/review, and 3-6 months for adjudication
- Custom reporting infrastructure: Development and maintenance of data validation, quality metrics, and regulatory submission systems compliant with standards (NAACCR, NTDB, ACC-NCDR)
Patient Journey Intelligence automates this process using AI-powered case finding and data extraction, reducing manual effort by 80-90%.
Key Capabilities
Automated Case Finding
AI-powered algorithms identify potential registry cases from EHR data, clinical notes, pathology reports, and imaging studies using NLP and medical reasoning
Clinical Data Extraction
Automatically extract staging, treatment, outcomes, and quality metrics from structured and unstructured sources with full provenance tracking
Expert Review Workflows
Human-in-the-loop validation with structured review forms, consensus workflows for disagreements, and inter-rater reliability tracking
Regulatory Reporting
Generate submission-ready exports in required formats (NAACCR, CDC, state registries) with built-in quality validation
Quality Metrics
Real-time dashboards showing registry completeness, timeliness, accuracy, and compliance with reporting requirements
Continuous Updates
Automated monitoring for new cases and data updates with incremental processing to keep registries current
Registry Development Process
From Case Identification to Regulatory Submission
Configure Registry Criteria
Define inclusion/exclusion criteria, required data elements, and quality measures based on registry specifications
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Automated Case Finding
AI algorithms scan clinical data to identify potential cases using diagnosis codes, procedures, pathology findings, and clinical notes
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Data Extraction & Abstraction
Automatically extract required registry data elements from clinical documentation with confidence scores
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Expert Review & Validation
Clinical experts review AI-extracted data, validate accuracy, and resolve ambiguous cases through structured workflows
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Quality Validation & Reporting
Run quality checks, generate required reports, and submit to regulatory bodies in compliant formats
Available Registries
Research Registry
Purpose-built for secondary use research with automated de-identification, OMOP CDM standardization, and IRB-ready datasets for retrospective studies and clinical trial feasibility
Learn more →
Cancer Registry
NAACCR-compliant cancer registry with automated case finding, AJCC staging, treatment tracking, and outcomes monitoring with state/national registry submissions
Learn more →
Cardiovascular Registry
Comprehensive CVD registry for outcomes tracking, quality measures, and research cohorts
Coming soon
Rare Disease Registry
Specialized registry for rare and orphan diseases with longitudinal tracking and natural history studies
Coming soon
Business Impact
⚡ 80-90% Reduction in Manual Effort
Eliminate repetitive chart abstraction and data entry tasks through AI-powered automation
📅 Months → Days
Deploy functional registries in days instead of months of manual configuration and testing
✓ Improved Accuracy
AI-assisted extraction with expert validation ensures high-quality, consistent data capture
📈 100% Case Capture
Automated scanning ensures no cases are missed, improving registry completeness
🔄 Always Current
Continuous monitoring keeps registries up-to-date without manual intervention
Registry Applications Across Healthcare
Quality Measurement & Reporting
Healthcare organizations face constant pressure to demonstrate quality performance across multiple reporting frameworks. Patient registries power these quality programs by systematically capturing the standardized data required for hospital quality metrics mandated by CMS and the Joint Commission, specialty-specific quality programs like NSQIP for surgical outcomes, STS for cardiac surgery, and ACC for cardiovascular care, as well as payer quality reporting programs such as HEDIS that impact reimbursement and health plan ratings.
Research & Clinical Trials
Clinical research depends on identifying the right patients and collecting comprehensive longitudinal data. Patient registries accelerate research by creating disease-specific cohorts for retrospective studies that examine treatment patterns and outcomes over time, supporting clinical trial feasibility analyses by quickly identifying how many eligible patients exist in your population, and generating real-world evidence that complements traditional clinical trials by capturing outcomes in routine clinical practice rather than controlled study environments.
Public Health Surveillance
Public health agencies rely on timely, accurate registry data to track disease trends and protect populations. Patient registries fulfill critical public health functions by feeding data to state and national disease registries that monitor cancer incidence, trauma outcomes, and chronic disease prevalence, enabling reportable conditions tracking that alerts authorities to infectious diseases and potential outbreaks, and supporting outbreak monitoring by quickly identifying clusters of cases that might indicate emerging public health threats.
Regulatory Compliance
Many healthcare providers face mandatory reporting obligations that carry significant penalties for non-compliance. Patient registries streamline regulatory compliance by automating mandatory reporting requirements for conditions like cancer, trauma, and stroke that must be reported to state and federal agencies, maintaining device and implant registries that track patient safety and support post-market surveillance as required by the FDA, and conducting ongoing safety surveillance that identifies adverse events and unusual patterns requiring investigation or intervention.
Technical Foundation
Built on OMOP CDM v5.4
All registry data is stored in standardized OMOP format, enabling:
- Interoperability: Compatible with research tools and analytics platforms
- Reproducibility: Consistent definitions across institutions
- Flexibility: Easy to extend with custom data elements
- Research-ready: Direct integration with cohort building and analytics
AI-Powered Extraction
Leverages healthcare NLP models trained on millions of clinical documents:
- Named Entity Recognition: Extract conditions, medications, procedures, findings
- Relation Extraction: Identify relationships between clinical concepts
- Assertion Detection: Capture negation, uncertainty, temporal context
- Document Classification: Route documents to appropriate extraction pipelines
Custom Registry Development
Beyond pre-built registries, Patient Journey Intelligence supports custom registry development for:
- Institutional quality improvement initiatives
- Disease-specific research cohorts
- Clinical specialty registries
- Novel outcome tracking programs
Custom development process:
- Requirements gathering: Define registry scope, data elements, workflows
- Case finding logic: Configure inclusion/exclusion criteria and algorithms
- Extraction rules: Customize data extraction and validation logic
- Review workflows: Set up expert review and adjudication processes
- Reporting templates: Design required reports and exports
- Pilot & validation: Test with sample cases and validate accuracy
- Production deployment: Scale to full patient population
Need a Custom Registry?
Contact the Patient Journey Intelligence team to discuss custom registry development for your specific needs. Most custom registries can be deployed in 6-8 weeks.
Deploy Your First Registry
Launch Your First Registry
Choose Registry Type
Select from available registries or request custom development
Configure Parameters
Define date ranges, inclusion criteria, and required data elements
Run Initial Case Finding
Execute automated case identification on historical data
Validate & Review
Clinical experts review sample cases to validate accuracy
Enable Continuous Monitoring
Activate automated updates for ongoing case identification