Shared Health Record
The Shared Health Record (SHR) is a business service component of the OpenHIE architecture in the Connected Care Stack. It functions as a longitudinal clinical repository, enabling a unified view of a patient’s health history across encounters, systems, and providers.
By adopting a FHIR-native approach through the use of the HAPI FHIR Server, the SHR facilitates standards-based clinical data exchange, promoting patient-centered continuity of care across digital and physical services.
Master Data Management (MDM)
To enable accurate and reliable patient identification across systems, the SHR system leverages Master Data Management (MDM) configurations that ensure consistent and accurate identification of patients across different systems. This includes:
Patient Identity Matching:
The system uses algorithms such as Probabilistic Matching and Deterministic Matching to ensure accurate linking of patient records.
Duplicate Record Prevention:
Built-in tools prevent the creation of duplicate records by continuously monitoring and comparing patient data entries.
Centralized Patient Index:
A single authoritative record for each patient is maintained, ensuring that data related to a patient is consistent and reliable across the healthcare ecosystem.
Cross-System Patient Identification:
The system supports cross-system identity matching, enabling patient identification across different healthcare providers and systems using shared data sources.
MDM Rules.
The SHR applies MDM rules that define how patient data is validated, matched, and linked across various health systems. These rules ensure that:
Data Integrity:
All incoming patient data is checked for completeness and accuracy before being stored in the SHR.
Data Consistency:
Rules are enforced to ensure that patient data remains consistent across different platforms and that any updates to patient records are properly tracked.
Identity Matching Logic:
The system uses configurable matching algorithms to determine when records belong to the same patient. This can be tailored based on specific healthcare requirements, ensuring that data discrepancies are minimized.
Data Merging:
When duplicate records are detected, MDM rules ensure that the correct action is taken, whether it’s merging data or flagging for review.
Security & Compliance:
Patient identification rules are aligned with security regulations such as HIPAA and GDPR, ensuring patient confidentiality and data protection.
FHIR Implementation Guides
The SHR is implemented using multiple FHIR Implementation Guides (IGs) to ensure broad compatibility and use-case alignment:
| SMART on FHIR |
SMART on FHIR allows third-party applications to integrate seamlessly with health systems. It provides secure authorization and access to electronic health record (EHR) data. |
Patient, Observation, Encounter, Medication |
| FHIR for Mobile Health (mHealth) |
This IG supports mobile applications that interact with health records. It provides guidance on how mobile apps should consume FHIR data for patient care. |
Observation, MedicationRequest, DiagnosticReport |
| FHIR for EHR |
The EHR IG defines how FHIR resources can be used to manage health records electronically. |
Patient, Practitioner, Encounter, Observation |
| FHIR for Clinical Data Interchange |
This IG focuses on the exchange of clinical data across different health systems using FHIR. |
Patient, Condition, Procedure, Observation |
For additional FHIR IGs and resources, visit: HL7 FHIR Official Site