Damco

Healthcare data interoperability so every team reads one record HL7, FHIR, and X12 connections between EHRs, labs, payers, and exchanges

Referral 7731, cardiologyIllustrated
Arrived asC-CDA summary from a clinic
MatchedOne patient in Epic, no duplicate
MappedMeds, problems, and labs to FHIR
Waiting onYour referral coordinator

Healthcare interoperability services we deliver From one interface to an exchange across every site you run

Connect EHRs and EMRsRecords move between departments, sites, and vendors without staff re-typing them.
Build FHIR and SMART on FHIR APIsApps and partners read and write the record through standard, documented APIs.
Modernize your interface engineOld interfaces move to a platform your team can monitor, test, and change.
Join health information exchangesReferrals and care summaries travel with the patient, with consent checked.
Share data between payers and providersClaims, authorizations, and reports flow between both sides on the same terms.

How we deliver healthcare interoperability solutions Four steps, from one data flow mapped to connections your team runs

  1. Days 1 to 5Map one data flowWe follow one flow, such as referrals or lab results, across every system and person it touches.
  2. From week 2Build and mapWe build the interfaces and APIs in weekly rounds and map each field with your analysts.
  3. Before go-liveValidate the dataMessages run side by side with the old path until every field matches.
  4. After go-liveMonitor and supportWe watch every interface, fix errors before users notice, and add the next flow.

When healthcare data interoperability work is the right fit And when a single interface or a data platform would serve you better

A good fit when

  • Clinicians look in three systems to see one patient's history
  • Each new vendor needs a new point-to-point interface
  • You need FHIR APIs to meet a CMS or ONC rule

Look elsewhere when

  • You need one EHR connected to one lab: see EMR and EHR integration
  • You want data in a warehouse for reporting: start with data engineering
  • You want a new EHR chosen and installed

Healthcare interoperability solutions in detail The data we connect, the standards we use, and how it reaches the people who need it

Why healthcare data stays fragmented

A patient's story is split across the hospital EHR, the clinic EMR, the lab, the imaging system, the pharmacy, and the payer. Each was bought at a different time, and each speaks a slightly different version of the standards.

Clinicians re-order tests they can't see, referrals arrive as faxes, and the same patient appears twice under two spellings. Connecting the systems is only half the job: the data also has to mean the same thing at both ends.

  • Clinical records, orders, and discharge summaries
  • Lab, radiology, and cardiology results
  • Authorizations, claims, eligibility, and remittances
  • Readings from home devices and patient apps

HL7, FHIR, and the standards we work in

Most hospital systems still exchange HL7 v2 messages, and most new apps and rules expect FHIR APIs. We work in both, plus CDA and C-CDA documents, DICOM for images, and X12 for claims and eligibility.

For population health and research, bulk FHIR exports move large data sets on a schedule. Where a system has no standard interface, we build a documented API or connect to its database directly, with the vendor's agreement.

EHR integration and SMART on FHIR

We connect Epic, Oracle Health, MEDITECH, athenahealth, and eClinicalWorks to the systems around them. SMART on FHIR lets an app open inside the EHR with the patient already selected, so clinicians stay in one screen.

Our EMR and EHR integration page covers this work in more detail, from labs to e-prescribing.

Interface engine modernization

Older interface engines often hold hundreds of interfaces that one or two people understand. We document each one and move it to a modern engine, in the cloud or on your own servers. Each interface is tested against live messages before the switch.

Your team gets monitoring, alerts, and a test environment, so a change to one interface doesn't break another.

Health information exchange integration

We connect you to regional and state exchanges, Direct secure messaging, and the national networks under TEFCA. Care summaries, referrals, and notifications travel with the patient, and consent is checked before data leaves.

Patient matching across organizations is the hard part. We tune matching rules and flag likely duplicates for a person to merge, so each record belongs to the right patient.

Data integration for payers

Payers and providers exchange eligibility, authorizations, claims, and quality reports every day. We connect payer systems such as Facets and HealthEdge to provider systems through X12 and FHIR, and to portals such as Availity.

The CMS interoperability and prior authorization rule asks many payers to offer FHIR APIs, including one for prior authorization, from 2027. We build those APIs and the work behind them.

Questions about healthcare data interoperability What CIOs and integration leaders ask us before they start

What are healthcare interoperability services?

Healthcare interoperability services connect health systems, devices, and apps so they can exchange data and use it. That means interfaces and APIs over standards such as HL7 v2, FHIR, CDA, and X12, plus the mapping that makes the data mean the same thing at both ends. Monitoring and support keep the connections running.

What systems can healthcare interoperability solutions connect?

EHRs and EMRs, health information exchanges, lab and radiology systems, pharmacy networks, home devices, telehealth apps, and payer platforms. In practice, almost any system that holds patient or claims data can be connected. Where a system has no standard interface, we build one.

Why is healthcare data interoperability important?

It ends the gaps between systems that cause repeated tests, slow referrals, and billing delays. It also helps you meet the data-sharing rules from CMS and ONC, which now expect FHIR APIs.

How does interoperability improve patient care?

Clinicians see complete records at the point of care, so they decide with the full picture. Referrals and handoffs between teams go faster, and fewer tests are repeated. Patients can see their own data and share it with the next provider.

How does AI help with healthcare data interoperability?

AI drafts field mappings between systems, reads unstructured notes and faxes into structured data, and flags records that probably belong to the same patient. An analyst checks each mapping and merge before it's used. That makes new connections faster to build and old data cleaner to move.

Do we have to replace our interface engine?

No. We can add FHIR APIs and new connections beside the engine you run. If it's slowing you down, we move interfaces one group at a time, with each one tested against live messages before the switch.

Bring the data flow that still runs on fax

We'll map where it breaks and show the connection we'd build first.