Challenge
Results arrive as unstructured text instead of discrete values
Agnotic approach
We parse OBX segments into discrete observations with LOINC codes, units, and reference ranges so results are usable for decisions and analytics.

Lab integration is HL7 v2 at its core: ORU results and ORM/OML orders across Quest, LabCorp, and hospital LIS. We build real bidirectional lab interfaces with LOINC-mapped results, not just a one-off results feed.
Trusted by global innovators
























Lab integration services connect your clinical platform to reference labs such as Quest Diagnostics and LabCorp and to hospital laboratory information systems (LIS), so orders go out and results come back as structured data. Agnotic Technologies builds the HL7 v2 and FHIR interfaces, LOINC mapping and result routing that put each result on the right patient and order.
At its core, lab integration is HL7 v2: ORU^R01 carries results, ORM^O01 (or the newer OML^O21) carries orders, and ACK confirms receipt. Results must map to LOINC, tie to the correct patient and order, and keep reference ranges, abnormal flags and units intact.
No two lab interfaces match. Quest and LabCorp publish their own specifications and test procedures, every LIS has its own compendium, and Ask-at-Order-Entry (AOE) questions, reflex testing and corrected results need explicit handling. We scope labs, message types and compendium mapping up front.
See how we design bidirectional lab interfaces: orders out, LOINC-mapped results back, with corrected-result and reflex handling built in.

Common failure modes
Challenge
Results arrive as unstructured text instead of discrete values
Agnotic approach
We parse OBX segments into discrete observations with LOINC codes, units, and reference ranges so results are usable for decisions and analytics.
Challenge
Every lab and LIS has a different interface spec
Agnotic approach
Per-lab discovery of message specs, compendium, and certification test procedures before we build, so surprises surface early.
Challenge
Corrected results duplicate instead of updating
Agnotic approach
Explicit corrected- and amended-result handling that updates the existing result and preserves an audit trail rather than creating a second entry.
Challenge
Results don't match cleanly to patient and order
Agnotic approach
Deterministic result-to-order matching with explicit fallback rules and a reconciliation queue for ambiguous records.
The exact HL7 v2 message types, lab interfaces, and coding systems that carry orders and results.
ORU^R01 result messages parsed into structured observations with values, units, reference ranges, and abnormal flags tied to the correct order.
ORM^O01 and the newer OML^O21 order messages for outbound test ordering, including Ask-at-Order-Entry (AOE) questions.
Reference-lab connectivity built to Quest Diagnostics and LabCorp interface specifications and their test and certification procedures.
Hospital Laboratory Information System interfaces: compendium ingestion, result formatting, and site-specific configuration.
LOINC mapping for results and SNOMED and CPT where needed, so lab data is comparable and analytics-ready across sources.
Explicit handling for reflex testing, corrected and amended results, and preliminary-to-final transitions so the record stays accurate.
Where it runs
In-workflow lab ordering and structured result review inside the chart.
Biomarker and at-home testing platforms with LOINC-mapped results.
Virtual-visit lab ordering with results returned to the visit record.
Recurring lab data feeding chronic-disease and monitoring programs.
Structured, LOINC-coded lab data for population and research analytics.
Hospital LIS interfaces for orders, results, and longitudinal lab data.
A result you can't parse is a result you can't act on. We build interfaces that deliver discrete, LOINC-coded observations, not text blobs.
Health Insurance Portability and Accountability Act
Protect PHI with privacy-first architecture, encrypted storage and transmission, strict access controls, and traceable audit logs.
General Data Protection Regulation
Implement lawful consent flows, data minimization, retention controls, and secure processing for sensitive health data.
Fast Healthcare Interoperability Resources
Enable standardized health data exchange across apps, care teams, and systems through standards-based FHIR APIs.
Health Level Seven International
Support enterprise-grade interoperability with HL7-based integrations for records, events, and clinical messaging workflows.
Health Information Trust Alliance
Align security programs to healthcare-specific control and risk management practices trusted by providers and ecosystem partners.
Health Information Technology for Economic and Clinical Health Act
Design with breach notification readiness, digital record safeguards, and operational controls that support regulated care programs.
FDA Software as a Medical Device
Plan software quality, traceability, and documentation pathways for products that may require SaMD review and submission.
Medical Device Regulation (European Union)
Prepare EU market-ready processes for risk classification, evidence tracking, and lifecycle governance under MDR expectations.
Substance Abuse and Mental Health Services Administration
Apply confidentiality controls and consent-aware sharing models for behavioral and mental health data experiences.
Standards we build against
We treat interface access, compendium mapping, and go-live as parallel tracks so lab orders and results flow reliably.
We map the labs, message types, and compendium in play (ORU, ORM/OML, AOE, reflex) before any code is written.
We initiate Quest, LabCorp, or LIS interface onboarding, secure the connection, and confirm message specs and test procedures.
We build the HL7 v2 parsers and order generation with LOINC mapping, validating against lab-supplied test messages and certification scripts.
Phased cutover with interface dashboards, ACK tracking, and alerting for missed results or corrected-result mismatches.
Local lab onboarding
You onboard a local or regional lab by surveying what its system can send, setting up ordering details, mapping its test compendium and validating sample messages before a parallel run. Timing depends on the lab's interface team, so we date the plan after the survey.
Which HL7 v2 version the lab sends, whether orders go as ORM or OML, how messages travel (VPN, SFTP or an HTTPS endpoint), and whether results arrive as discrete OBX values, formatted text or PDF reports.
Record the lab's CLIA certificate number for results and reports, and register each ordering provider's NPI with the account or client number the lab expects on every order.
Load the lab's orderable tests, specimen requirements and Ask at Order Entry questions from its compendium file, and agree how the lab will send compendium changes after go-live.
Map results test by test to LOINC, checking units and specimen type, instead of passing the lab's local codes through. Any test without a confident match goes to your clinical lead for review.
Send ORM or OML orders to the lab's test system and process its sample ORU results, including preliminary, corrected and reflex results, until every test in scope passes.
For an agreed set of live orders, compare each result in your platform field by field against the lab's own report or portal before the old route is switched off.
The lab and your clinical lead sign off the test list. From the first live day, monitoring tracks ACKs, unmatched results and compendium changes.
Message table
How we approach the main data flows: the HL7 message type and the friction to expect.
| Data flow | HL7 v2 message | Notes |
|---|---|---|
| Inbound results | ORU^R01 | OBX parsing, units, ranges, and abnormal flags must survive intact. |
| Outbound orders | ORM^O01 / OML^O21 | AOE questions and order compendium mapping add work. |
| Quest / LabCorp | Vendor interface spec | Each lab has its own spec and certification test procedures. |
| Hospital LIS | ORU / ORM per LIS | Compendium and result formatting vary by site and LIS vendor. |
| Corrected results | ORU with correction flag | Must update, not duplicate, the prior result in the record. |
Compendium mapping and each lab's certification testing drive the schedule more than parsing. We give you a timeline after scoping.
Short facts we design around, each linked to its primary source.
45 CFR 170.207(c) adopts LOINC, the code system for health measurements, observations and documents produced by the Regenstrief Institute, as the standard for laboratory tests in certified health IT.
Source: 45 CFR 170.207 (eCFR)Under CLIA, a lab test report must show the test performed, the result with its units or interpretation where applicable, and the name and address of the lab that performed it, and reference intervals must be available to the ordering provider.
Source: 42 CFR 493.1291 (eCFR)For electronic laboratory reporting (ELR) to public health agencies, 45 CFR 170.205(g) adopts HL7 2.5.1 with the HL7 Version 2.5.1 Implementation Guide: Electronic Laboratory Reporting to Public Health.
Source: 45 CFR 170.205 (eCFR)The HIPAA Security Rule requires administrative, physical and technical safeguards for electronic protected health information.
Source: 45 CFR Part 164 Subpart C (eCFR)Lera Health turns targeted biomarker testing into personalized care, so lab data flow is central to it: honest proof of structured results handling, a privacy-first data layer, and a compliant, integration-heavy platform delivered end to end.

We bring the HL7 v2 depth and compendium discipline that lab interfaces actually require.
HIPAA controls and result-integrity safeguards designed into the interface from the start, with audit trails on every result.
We know ORU segments, LOINC mapping, reflex, and corrected results: your lab team won't be explaining an OBX to ours.
We map results into discrete, LOINC-coded observations so data is usable for decisions and analytics, not just a scanned report.
One accountable team across discovery, build, QA, and monitoring, with a named engineer for interface and result issues.
Real integrations, not just familiarity.
Tell us your labs and message types. We'll return a realistic plan with the interface-onboarding timeline and compendium-mapping scope.
contact@agnotic.com
Partnerships
contact@agnotic.com