The Challenge
Healthcare providers struggle with duplicate patient records and identity resolution across multiple EHR systems, leading to fragmented care and safety risks.
Our Solution
Advanced patient matching algorithms that use multiple data points to accurately identify and merge duplicate records across systems.
Business Impact
- 95% duplicate reduction
- Improved patient safety
- Enhanced care coordination
- Unified patient records
Advanced Patient Matching Process
Clockspring uses sophisticated algorithms to resolve patient identity across healthcare systems:
Identity Matching
Multi-factor patient matching using demographics, MRNs, SSN, birth dates, and addresses. Advanced fuzzy matching handles variations in name spellings and data entry inconsistencies.
Data Normalization
Standardizes patient data formats across different EHR systems, ensuring consistent patient identifiers and reducing future duplicate creation.
Patient Safety
Unified patient records ensure healthcare providers have complete medical histories, reducing medication errors and improving care coordination across facilities.
Master Data Management
Creates authoritative patient master data with golden records that serve as the single source of truth across all connected healthcare systems.
Systems Involved
Notes: Native support for healthcare interoperability standards including HL7 and FHIR for seamless patient data exchange and compliance.
How It Works (60 seconds)
- Extract: Pull patient demographics and identifiers from multiple EHR systems, lab systems, and healthcare databases.
- Match: Apply advanced algorithms using multiple data points to identify potential duplicate patient records with confidence scoring.
- Merge: Create unified patient profiles with master data management and golden record maintenance across systems.
- Data extraction: patient demographics from EHR, lab, pharmacy systems
- Identity matching: multi-factor algorithms with fuzzy matching
- Confidence scoring: probabilistic matching with manual review queues
- Golden record creation: authoritative patient master data
- System synchronization: unified patient identifiers across systems
- Audit trails: complete matching history and compliance tracking
Built‑in Safeguards
- HIPAA compliance: encrypted data handling and access controls
- Confidence thresholds: adjustable matching sensitivity with manual review
- Audit logging: complete patient matching history and decisions
- Data validation: automated quality checks and consistency verification
- Rollback capabilities: safe merge reversal with change tracking
Ready to Resolve Patient Identity Issues?
Reduce duplicate patient records by 95% and improve care coordination across your healthcare network with advanced matching algorithms.