EHR Interoperability Agent

The work it takes off your plate

Health systems exchanging data across multiple EHRs face broken handoffs, mismatched patient identities, and incomplete clinical documents that force clinicians to re-collect history. Point-to-point interfaces are brittle, reconciliation rules live in tribal knowledge, and failed exchanges surface only after care delays. The EHR Interoperability Agent orchestrates standards-based exchange, applies identity and clinical reconciliation rules, and ensures complete, usable records reach the receiving system of care.

How it works

The agent coordinates ADT, CCD/C-CDA, FHIR, and query-based document retrieval across EHR endpoints, resolves patient identity, reconciles meds/allergies/problems, validates payload completeness, and routes exceptions to interface and clinical informatics teams.

1. Step 1: Orchestrate Exchange Triggers

   • Detect events requiring exchange (referral, transition of care, HIE query, scheduled visit)
   • Select transport and standard (Direct, XCA/XDS, FHIR API, HL7 v2) based on partner capability
   • Initiate document generation or query with correct purpose-of-use and consent checks

   Result: Exchange jobs launched with partner-specific standards and consent validated.

2. Step 2: Resolve Identity and Match Records

   • Apply enterprise MPI matching using demographics, identifiers, and probabilistic scores
   • Handle ambiguous matches with human-in-the-loop queues
   • Link external MRNs to internal patient IDs for write-back

   Result: High-confidence patient match or queued exception for HIM review.

3. Step 3: Reconcile Clinical Content

   • Normalize medications, allergies, problems, and immunizations against local terminologies
   • Apply reconciliation rules for duplicates, conflicts, and more-recent external data
   • Prepare clinician-facing reconciliation views for meds and allergies at transitions

   Result: Reconciled clinical sections ready for EHR import or clinician confirmation.

4. Step 4: Validate Delivery and Monitor SLAs

   • Confirm ACK/receipt, payload completeness, and successful EHR incorporation
   • Retry transient failures with backoff and escalate persistent errors
   • Report exchange volume, latency, match rates, and clinical reconciliation metrics

   Result: Reliable cross-EHR exchange with operational visibility and exception handling.

Why use it

• Standards-Based Orchestration. FHIR, C-CDA, HL7 v2, and HIE patterns in one control plane.
• Identity Safety. MPI-grade matching before clinical merge.
• Clinical Reconciliation. Meds, allergies, and problems normalized for care use.
• Exception Workflows. Clear queues for ambiguous matches and failed deliveries.
• SLA Monitoring. Latency and completeness metrics for interface governance.