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Patient Registry Automation

Patient registries are critical infrastructure for quality measurement, regulatory compliance, clinical research, and public health surveillance. Yet traditional registry development remains one of healthcare's most resource-intensive operational challenges, requiring months of manual chart abstraction by specialized, certified staff who extract hundreds of data points per case from fragmented clinical documentation. Patient Journey Intelligence transforms registry operations from a manual burden into an automated asset, combining AI-powered case finding, clinical data extraction, and expert review workflows to reduce manual effort by 80-90% while capturing more complete data faster than human abstractors working alone.

The Registry Challenge: Manual, Specialized, and Time-Intensive​

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. Despite their critical importance, traditional registry development and maintenance faces significant challenges:

Manual Chart Abstraction is Prohibitively Slow​

Registry abstraction requires trained staff to manually review clinical charts and extract standardized data elements. Industry studies reveal the time investment required:

For a typical cancer center diagnosing 500 new cases annually, this translates to thousands of hours of manual abstraction work each year.

Specialized Training and Certification Requirements​

Registry abstractors require extensive education and ongoing certification:

Ongoing Quality Audits and Compliance Burden​

Regulatory and accreditation bodies require continuous quality monitoring:

  • ACC-NCDR audit process: Requires approximately 1 year including 3 months preparation, 3 months data abstraction/review, and 3-6 months for adjudication
  • Custom reporting infrastructure: Organizations must develop and maintain data validation systems, quality metrics dashboards, and regulatory submission processes compliant with standards (NAACCR, NTDB, ACC-NCDR)

Incomplete Case Capture​

Manual identification processes inevitably miss cases:

  • Abstractors rely on diagnosis codes and procedure flags that may be incomplete or delayed
  • Cases documented primarily in clinical notes rather than structured fields go undetected
  • Patients treated across multiple facilities may not be captured in all relevant registries

How Patient Journey Intelligence Automates Registry Development​

Traditional registry development forces organizations to choose between hiring specialized abstractors for manual chart review or accepting incomplete data. Patient Journey Intelligence eliminates this tradeoff by providing pre-configured registry templates that combine automated case finding, AI-powered clinical data extraction, expert review workflows, and regulatory reporting, all built on standardized OMOP CDM data.

The platform handles the heavy lifting of data extraction and case identification, freeing your clinical experts to focus on what humans do best: validating complex cases, resolving ambiguities, and ensuring quality. Instead of spending hours manually abstracting each chart, your team reviews AI-extracted data that's already coded, structured, and ready for validation.

From Configuration to Regulatory Submission​

The Automated Registry Workflow

1

Configure Registry Criteria

Define inclusion/exclusion criteria, required data elements (e.g. your ontology), and quality measures based on registry specifications (NAACCR, ACC-NCDR, custom requirements)

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2

Automated Case Finding

AI algorithms scan clinical data to identify potential cases using diagnosis codes, procedures, pathology findings, and clinical notes, capturing cases that manual processes miss

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3

AI-Powered Data Extraction

John Snow Labs Medical Language Models automatically extract required registry data elements (staging, treatment, outcomes) from structured and unstructured sources with confidence scores and full provenance tracking

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4

Expert Review & Validation

Clinical experts review AI-extracted data through structured workflows, validate accuracy, and resolve ambiguous cases. Inter-rater reliability tracking ensures quality.

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5

Quality Validation & Reporting

Run quality checks, generate required reports, and submit to regulatory bodies in compliant formats (NAACCR, CDC, state registries)

Automate Case Finding, Data Extraction, and Regulatory Reporting End-to-End​

Behind this streamlined workflow are six integrated capabilities that work together to transform registry operations. Think of these as your automated registry team, each handling a specific aspect of the abstraction and reporting process that would otherwise require significant manual effort.

Identify Cases Automatically Across All Data Sources

AI algorithms continuously scan your clinical data, EHR fields, clinical notes, pathology reports, imaging studies, to identify potential registry cases the moment they're documented, ensuring 100% case capture without manual chart review.

Extract Registry Data from Structured and Unstructured Sources

The platform reads clinical documentation like an experienced abstractor, automatically extracting staging, treatment details, outcomes, and quality metrics. Every extraction includes confidence scores and full provenance tracking back to source documents.

Validate Data Through Streamlined Expert Review

Clinical experts review AI-extracted data through intuitive interfaces designed for efficiency. Structured review forms, consensus workflows for disagreements, and inter-rater reliability tracking ensure quality while reducing time spent per case by 80-90%.

Generate Submission-Ready Reports for Regulatory Bodies

The platform generates exports in exactly the format regulatory bodies require, NAACCR for cancer registries, CDC for public health surveillance, state-specific formats for regional compliance. Built-in quality validation catches errors before submission.

Monitor Registry Quality with Real-Time Dashboards

Track case completeness, timeliness of abstraction, data accuracy rates, and compliance with reporting requirements. Spot issues early and demonstrate quality to auditors with comprehensive metrics and audit trails.

Keep Registries Current with Continuous Automated Updates

The platform monitors for new cases and data updates in real-time, incrementally processing changes as they arrive. No more batch updates or falling behind, your registry stays current automatically without manual intervention.

The Impact: Measurable Benefits of AI-Powered Registries​

By automating the most time-intensive aspects of registry maintenance, case finding, chart abstraction, and data extraction, Patient Journey Intelligence fundamentally transforms registry operations from a manual, labor-intensive burden into a streamlined, continuously updated asset. Organizations shift their specialized staff from repetitive data entry to high-value activities like quality validation, complex case review, and strategic analysis. The result is not just efficiency gains, but a fundamental improvement in registry completeness, accuracy, and timeliness that directly impacts regulatory compliance, quality measurement, and research capabilities.

80-90% Reduction in Manual Effort

Eliminate repetitive chart abstraction and data entry tasks through AI-powered automation. Staff focus on quality validation and complex cases instead of manual data extraction.

Months to Days

Deploy functional registries in days instead of months of manual configuration and testing. Pre-built templates accelerate time-to-value.

100% Case Capture

Automated scanning across structured and unstructured data ensures no cases are missed, improving registry completeness and reducing penalties for incomplete reporting.

Improved Accuracy

AI-assisted extraction with expert validation ensures high-quality, consistent data capture. Provenance tracking and confidence scores enable quality control.

Always Current

Continuous monitoring keeps registries up-to-date without manual intervention. New cases are automatically identified and processed as clinical data arrives.

Available Registries​

Patient Journey Intelligence offers pre-configured registry templates designed for the most common healthcare use cases, each built on the same automated foundation but tailored to specific regulatory requirements and reporting standards. Whether you're maintaining cancer registries for state reporting, building research cohorts for clinical trials, or tracking cardiovascular outcomes for quality measures, these templates accelerate deployment from months to days while ensuring compliance with industry standards like NAACCR, ACC-NCDR, and IRB requirements.

De-identified OMOP

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

Registry Applications Across Healthcare​

Patient registries powered by Patient Journey Intelligence support critical use cases across quality measurement, research, public health, and regulatory compliance.

Quality Measurement & Reporting​

Healthcare organizations face constant pressure to demonstrate quality performance across multiple reporting frameworks. Patient registries power these quality programs by:

  • Hospital quality metrics: Systematically capture standardized data required for CMS and Joint Commission measures
  • Specialty quality programs: Support NSQIP for surgical outcomes, STS for cardiac surgery, ACC for cardiovascular care
  • Payer quality reporting: Generate HEDIS reports 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:

  • Disease-specific cohorts: Create retrospective study populations that examine treatment patterns and outcomes over time
  • Clinical trial feasibility: Quickly identify how many eligible patients exist in your population for trial planning
  • Real-world evidence: Generate RWE that complements traditional clinical trials by capturing outcomes in routine clinical practice

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:

  • State and national disease registries: Monitor cancer incidence, trauma outcomes, and chronic disease prevalence
  • Reportable conditions tracking: Alert authorities to infectious diseases and potential outbreaks
  • Outbreak monitoring: Quickly identify 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:

  • Mandatory reporting requirements: Automate submissions for conditions like cancer, trauma, and stroke that must be reported to state and federal agencies
  • Device and implant registries: Track patient safety and support post-market surveillance as required by the FDA
  • Safety surveillance: Identify 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 John Snow Labs Medical Language Models trained on millions of clinical documents:

  • Named Entity Recognition: Extract conditions, medications, procedures, findings from unstructured text
  • Relation Extraction: Identify relationships between clinical concepts (e.g., medication treats condition)
  • Assertion Detection: Capture negation, uncertainty, temporal context (e.g., "no evidence of metastasis")
  • Document Classification: Route documents to appropriate extraction pipelines based on content type

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:

  1. Requirements gathering: Define registry scope, data elements, workflows
  2. Case finding logic: Configure inclusion/exclusion criteria and algorithms
  3. Extraction rules: Customize data extraction and validation logic
  4. Review workflows: Set up expert review and adjudication processes
  5. Reporting templates: Design required reports and exports
  6. Pilot & validation: Test with sample cases and validate accuracy
  7. 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

1

Choose Registry Type

Select from available registries or request custom development

2

Configure Parameters

Define date ranges, inclusion criteria, and required data elements

3

Run Initial Case Finding

Execute automated case identification on historical data

4

Validate & Review

Clinical experts review sample cases to validate accuracy

5

Enable Continuous Monitoring

Activate automated updates for ongoing case identification

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