Healthcare Interoperability · Laboratory Information Systems
NovoPath LIS Integration
Directed the full order-to-result workflow between NovoPath LIS and hospital EMR/EHR systems — covering HL7 order intake, specimen accessioning, pathologist assignment, result finalization, result return, exception handling, interface monitoring and reconciliation.
Overview
NovoPath is a laboratory information system used in pathology and clinical lab environments. Connecting it reliably to hospital EMR and EHR platforms requires precise HL7 message design, interface engine configuration, and disciplined operational practices to ensure orders and results flow without interruption across organizational boundaries.
This work involved directing the full integration lifecycle — from initial interface design and testing through go-live and post-deployment support — with HIPAA-aligned data handling practices throughout. The goal was a more reliable order-to-result workflow with reduced manual handling and improved visibility into interface exceptions.
Workflow
Order-to-Result Pipeline
The integration covers the complete lifecycle of a laboratory order — from the moment a clinician places it in the originating EMR through specimen handling, pathologist review and final result delivery back to the ordering system.
Order Entry
Hospital or practice clinicians enter laboratory orders in the originating EMR. Orders are structured according to the agreed message format and queued for transmission to the LIS interface.
HL7 Order Intake
Inbound HL7 ORM (Order Message) transactions are received by the interface engine from the originating EMR. Messages are parsed, validated against expected segment structure and routed to NovoPath for processing.
Patient and Provider Matching
Incoming orders are matched against existing patient and provider records within NovoPath. Matching logic handles variations in identifier format and flags unresolved records for manual review before accessioning proceeds.
Specimen Accessioning
Matched orders are accessioned into the LIS — assigned a unique accession number, associated with the correct patient and provider, and entered into the laboratory workflow queue for processing.
Label Generation
Specimen labels are generated from the accessioned order data — incorporating accession number, patient identifiers, specimen type and collection instructions. Labels are produced at the point of collection or at the receiving laboratory depending on workflow configuration.
Pathologist Assignment
Accessioned cases are routed to the appropriate pathologist based on case type, subspecialty and workload distribution rules configured within NovoPath. Assignment logic supports both automatic routing and manual override.
Findings and Result Finalization
The assigned pathologist reviews the case, documents findings and finalizes the result within NovoPath. Finalization triggers the outbound result workflow — generating the HL7 ORU (Observation Result) message for transmission back to the originating system.
Result Return to EMR
Finalized HL7 ORU messages are transmitted from NovoPath through the interface engine to the originating EMR. The receiving system acknowledges receipt, and the result is made available to the ordering clinician within their workflow.
Operational Practices
Exception Handling
Not every message flows cleanly end to end. Orders arrive with missing or mismatched identifiers. Acknowledgment messages fail to return. Specimens are received without a corresponding order in the LIS. Each of these conditions requires a defined response — not a manual workaround invented in the moment.
Exception handling was built into the interface design from the start. Unresolvable patient or provider matches are flagged and held rather than processed with incorrect associations. Transmission failures trigger retry logic with configurable thresholds before escalating to an alert. Messages that cannot be processed are quarantined with enough context for a staff member to diagnose and resolve the issue without needing to inspect raw message payloads.
The goal was to make exceptions visible and actionable — not invisible until a clinician noticed a missing result.
Interface Monitoring
A live interface is only as reliable as the visibility you have into it. Monitoring was configured to track message throughput, acknowledgment rates, queue depth and error frequency across all active interface connections.
Alerts were set for conditions that indicate degraded performance before they become patient-impacting failures — sustained queue growth, elevated error rates, missing acknowledgments within expected windows. Interface status was made accessible to operations staff without requiring direct access to the interface engine, reducing the time between a problem occurring and someone acting on it.
Reconciliation
Periodic reconciliation confirmed that orders transmitted from the EMR had corresponding accession records in the LIS, and that finalized results in the LIS had been successfully delivered back to the originating system. Discrepancies surfaced by reconciliation — orders without accessions, finalized results without confirmed delivery — were investigated and resolved before they affected clinical workflows.
Reconciliation also served as a quality check on the matching and routing logic — patterns in unresolved records informed refinements to the patient and provider matching configuration over time.
Scope of Work
Bidirectional HL7 v2.x message exchange (ORM/ORU)
HL7 order intake and message validation
Patient and provider matching logic
Specimen accessioning and accession number assignment
Label generation from accessioned order data
Pathologist assignment and case routing
Result finalization and outbound ORU transmission
Result return and EMR acknowledgment handling
Exception detection, quarantine and resolution workflows
Interface monitoring — throughput, queue depth, error rates
Order-to-result reconciliation
HIPAA-aligned data transmission practices
Outcome
Helped create a more reliable order-to-result workflow while reducing repetitive manual handling and improving visibility into interface exceptions.
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