Data Aggregation Flow with Probabilistic Patient Matching

Patent Documentation - Multi-Source Health Data Collection with MRN/Encounter Tracking

Multi-Source Health Data Aggregation Flow
Probabilistic Patient Matching & Multi-Source Data Aggregation FlowMRN/Encounter Tracking • 93%/60% Confidence Thresholds • Continuous SynchronizationSTEP 1: PROBABILISTIC PATIENT MATCHING (93%/60% THRESHOLDS)Weighted Scoring Algorithm - External Record → Alphiniti PatientSSN Match (25pts)DOB Match (20pts)Name Similarity (15pts)Phone (12pts)Address (10pts)Sex (8pts)POB+Race (10pts)≥93% → AUTO-LINK (no validation)Immediate MRN mapping created60-93% → USER VALIDATIONHIPAA-compliant validation prompt<60% → REJECTNo automatic linkSTEP 2: SECURE AUTHENTICATION & AUTHORIZATIONOAuth 2.0 Connections• Apple Health• Google Fit• Fitbit / Samsung HealthAPI Key Integration• Lab Systems (LabCorp, Quest)• Pharmacy (CVS, Walgreens)• Insurance PortalsFHIR/HL7 Endpoints• Epic MyChart (MRN tracked)• Cerner / Athena• Hospital EHR SystemsManual Import• Document Upload• PDF Parsing• OCR / AI ExtractionSTEP 3: INTELLIGENT DATA EXTRACTION (Using MRN/Encounter IDs)API Data FetchingFHIR Resource ParsingDocument OCR/NLPWearable Data StreamsManual EntryMRN Lookup • Encounter Query • Field Extraction • Format Conversion • Retry LogicSTEP 4: DATA NORMALIZATION & STANDARDIZATIONTerminology MappingUnit ConversionCode TranslationTimestamp StandardizationSNOMED CT • LOINC • RxNorm • ICD-10 • ISO Units • UTC Time • FHIR StandardsSemantic Normalization • Data Type Validation • Range CheckingSTEP 5: INTELLIGENT DEDUPLICATION & CONFLICT RESOLUTIONFuzzy MatchingSimilarity ScoringSource PrioritizationMerge LogicConflict Detection • Version Control • Most Recent Wins • Source AuthoritySTEP 6: CLINICAL VALIDATION & QUALITY ASSURANCERange ValidationClinical Logic ChecksAnomaly DetectionCompleteness ScoringFlag IssuesMedical Logic • Drug Interactions • Allergy Conflicts • Dosage ValidationAI-Powered Quality Checks • Clinical Rule EngineSTEP 7: CONTEXT ENRICHMENT & METADATA TAGGINGClinical CategorizationAuto-TaggingRelationship MappingCross-Reference LinksCondition-Medication Links • Diagnosis-Treatment Mapping • Temporal RelationshipsSTEP 8: SECURE ENCRYPTED STORAGE + MRN MAPPINGAES-256 EncryptionLongitudinal Record (Alphiniti ID)MRN/Encounter MappingBlockchain Audit TrailHIPAA Compliant • SOC 2 • Zero-Knowledge ArchitectureContinuous Sync via MRNVersion ControlMRN/Encounter Query • Incremental Updates • Real-Time SyncFull History Preservation • Point-in-Time Recovery
Integration Capabilities

Universal Connectivity

Connects to EHR systems, wearables, labs, pharmacies, and insurance portals

FHIR/HL7 Compliance

Native support for healthcare interoperability standards

Automated Synchronization

Continuous background syncing with incremental updates

Data Quality Assurance

Intelligent Deduplication

Advanced fuzzy matching prevents duplicate records across sources

Clinical Validation

AI-powered validation ensures data accuracy and medical logic

Standardized Terminology

Maps to SNOMED CT, LOINC, RxNorm, and ICD-10 standards

Key Patent Claims - Data Aggregation System
  1. Probabilistic patient matching algorithm with weighted scoring (SSN 25pts, DOB 20pts, Name 15pts) and 93%/60% confidence thresholds for auto-link vs user validation
  2. Multi-source aggregation engine unifying health data from wearables, EHRs, labs, pharmacies via MRN/encounter tracking
  3. Universal API adapter layer supporting OAuth, FHIR, HL7, and proprietary protocols
  4. Intelligent schema mapping system automatically translating diverse data formats to standardized structures
  5. Medical terminology normalization mapping to SNOMED CT, LOINC, RxNorm, and ICD-10 standards
  6. Advanced deduplication algorithm using fuzzy matching and similarity scoring to prevent duplicate records
  7. Conflict resolution engine with source authority prioritization and version control
  8. Clinical validation layer with AI-powered range checking and medical logic verification
  9. Temporal sequencing system maintaining chronological accuracy across all data sources
  10. Context-aware enrichment automatically tagging and categorizing health data
  11. Relationship mapping engine linking medications to conditions, treatments to diagnoses
  12. Continuous background synchronization with incremental updates and change detection
  13. Encrypted longitudinal storage with blockchain-verified audit trail for compliance