Healthcare
Your prior authorization APIs are due January 1, 2027. Most payers haven't started.
Syncsoft builds CMS-0057-F compliant FHIR APIs, Epic and Oracle Health integrations, and production AI for health systems, payers and the vendors who serve them. We sign BAAs, we work inside your cloud tenancy, and we hand you the audit artifacts on day one rather than at the end.
The Problem
Four places this shows up.
When the January 2027 deadline is real and the roadmap isn't.
Patient Access, Provider Access, Payer-to-Payer and Prior Authorization. Four APIs, six mandated standards, one date. The interim requirements already landed on 1 January 2026 — 72-hour expedited and 7-day standard decision timeframes, with specific denial reasons.
When every AI vendor promises Epic integration and few have shipped one.
The enterprise health AI deals signed in 2026 — ambient documentation, care-gap identification, clinical decision support — are integration problems wearing an AI costume. The model is a component. The interface engine, the terminology mapping and the consent model are the project.
When clinicians won't adopt it.
Ambient documentation only works if it demonstrably saves a physician time. One published deployment measured a 45% reduction in documentation time. Below a threshold like that, adoption stalls no matter how good the model is.
When the security review takes longer than the build.
We start with the BAA, the data flow map and the access control matrix — before the first sprint, not after the demo.
What We Do
Organized the way your teams are organized.
Interoperability & regulatory engineering
CMS-0057-F API build and remediation. FHIR server implementation and mapping from core systems. SMART App Launch and OpenID Connect. Bulk Data Access. Consent and opt-out mechanics. Metrics reporting.
EHR integration
Epic, Oracle Health (Cerner), athenahealth, MEDITECH. HL7 v2 interfaces, FHIR APIs, C-CDA exchange, DICOM for imaging. Terminology mapping across ICD-10, CPT, SNOMED CT, LOINC and RxNorm — the unglamorous work that determines whether anything downstream is correct.
Clinical and operational AI
Ambient documentation pipelines, coding and CDI automation, prior authorization workflow automation, care-gap identification, clinical trial matching. Built with an evaluation suite, because in this domain “it usually works” is not a deployable state.
Engineering capacity for health AI vendors
If you're building a clinical AI product and your bottleneck is integration engineering rather than model work, that's a large part of what we do. Embedded pods working in your repositories, under your standards.
Compliance
What we build to.
What we don't claim.
- There is no HHS-recognized HIPAA certification, so we don't display one — and you should be wary of vendors who do.
- We are not FDA cleared; clearance attaches to a device and is held by its manufacturer. We build to IEC 62304 software safety classes A, B and C and we support sponsors through submissions — that is an engineering claim, not a regulatory status.
The CMS-0057-F engineering checklist.
Eight pages: the four APIs, the six mandated standards, the sequencing that actually works, and the three places payer implementations usually stall.