10decodersRecords that follow the patient — interoperability we build and keep running
We connect the systems that were never designed to talk: EHRs, LIS, RIS/PACS, HIE, and payer gateways. You get a governed data flow across the care continuum — and we operate it under SLA so it stays connected long after go-live.
Where healthcare interoperability usually goes wrong
Records don't travel
A referral, result, or med list stops at the system boundary and gets re-keyed by hand.
Every connection is bespoke
Point-to-point interfaces multiply until no one can safely change anything.
No single owner
Feeds fail quietly; the gap surfaces weeks later in a report or a denied claim.
What an interoperability engagement covers
From assessment to operated production — the full path to systems that share data reliably.
Interoperability assessment
We inventory every system, interface, and data owner and score your current-state maturity against IHE and USCDI.
Target architecture
A reference architecture that standardizes on HL7 v2, FHIR R4, and an integration engine instead of one-off links.
Integration & HIE onboarding
Connections to regional/national HIEs, Carequality/CommonWell, and payer gateways with consent handling.
Terminology & mapping
LOINC, SNOMED CT, ICD-10, and RxNorm normalization so codes mean the same thing across systems.
Master data & matching
Patient and provider matching to de-duplicate identities before data ever reaches a report.
Operate & monitor
24/7 monitoring, alerting, and maintenance of every feed under a defined SLA.
Map, build, prove, operate
Map
Inventory systems, feeds, and owners; draw the target interoperability architecture.
Build
Stand up the engine, channels, and mappings to HL7/FHIR spec with terminology normalization.
Prove
Validate against IHE profiles and real message samples; security review before go-live.
Operate
Monitor, alert, and maintain every connection under SLA — the outcome, not the pager.
Interoperability is a set of running promises between systems. We keep them.
The platform-only model
- You license an engine, then hire people to run it
- Mappings and consent logic sit in your backlog
- A failed feed is your team's 2am page
- Compliance evidence is assembled after the fact
The 10decoders model
- We build the engine, channels, and mappings end to end
- Terminology and matching handled as part of delivery
- Failures alert us and are resolved under SLA
- Audit-ready logging and documentation from day one
