• Writing
  • Work
  • Activity
  • Contact

Mike Garite

ok@mikeg.meResume
  • GitHub (opens in a new tab)
  • LinkedIn (opens in a new tab)
Writing/Product

Interoperability That Touches the Workflow

Humana and athenahealth expanded FHIR-based prior authorization across more than 180,000 clinicians. The lesson for data work is familiar: standards matter when they sit inside the encounter, not in another portal.

November 4, 20263 min read

On November 4, 2026, Humana and athenahealth announced a nationwide expansion of electronic prior authorization inside athenaOne. The network covers more than 180,000 physicians and clinicians. The point of the work is not a new API brochure. It is replacing fax, phone trees, and one-off payer portals with adjudication that happens in the clinical workflow.

That distinction is the whole story of interoperability.

What they actually shipped#

The integration uses the Da Vinci Project's FHIR standards in a sequence that mirrors how care happens:

  • Coverage Requirements Discovery (CRD) checks, during the encounter, whether an order needs prior authorization.
  • Documentation Templates and Rules (DTR) brings the payer's documentation checklist into the EHR and can fill fields from the chart.
  • Prior Authorization Support (PAS) packages the request as structured FHIR and returns an electronic determination without forcing staff out of the record.

Connectivity runs through athenaPayer, so Humana can reach participating practices through one network instead of a pile of custom interfaces.

The early operating numbers are concrete. In September 2026 alone, more than 6,000 providers processed nearly 35,000 electronic prior authorization transactions with Humana. Over 70% completed without additional documentation or manual follow-up from practice staff.

Dr. Traci Granston of Humana framed the clinical goal simply: require prior authorization less often, and make it faster and more connected when it is necessary.

Why in-workflow beats after-the-fact exchange#

I have spent enough time around clinical and operational data to distrust any integration that asks a person to leave the system of record, re-enter facts, and hope the other side understands them. Every handoff is a chance to lose context, invent a local code, or create a duplicate that later looks like a different entity.

FHIR matters here because it is being used as a live pipeline between the encounter and the payer, not as a storage format for a batch dump. The same pattern shows up in other November 2026 work. Elligint Health adopted AWS HealthLake as a FHIR R4 foundation for CMS-0057-F requirements, exposing Patient Access, Provider Access, Payer-to-Payer, and Prior Authorization APIs against a live FHIR twin of plan data. The rule pressure is real. The useful implementations still come down to whether a person can finish the task without opening three browsers.

What this means outside healthcare#

The lesson travels.

Put the exchange where the decision is made. If matching a vendor, checking coverage, or validating an identifier happens after the fact, people will invent shortcuts. If it happens at the moment of order, intake, or checkout, the clean path becomes the easy path.

Measure touchless completion, not interface count. Thirty-five thousand transactions with a 70% touchless rate is a better proof than a diagram of connected systems.

Standards without workflow are inventory. CRD, DTR, and PAS are valuable because they map to steps humans already take. An unused Implementation Guide is not interoperability.

Central routing beats one-off interfaces. A payer connecting once to a network of practices is the same idea as a platform connecting once to a directory of vendors. Point-to-point integrations do not scale, and they do not age well.

A practical checklist#

When I evaluate an interoperability claim now, I ask:

  1. Does the user stay in the system where the work started?
  2. Is the payload structured enough that a machine can adjudicate most cases?
  3. What share of transactions complete without a human patching the data?
  4. Can you see what failed and why, so the next request is better?

Prior authorization is a painful corner of healthcare administration. It is also a clean example of a broader rule: data exchange earns trust when it removes work from the day, not when it adds another place to click.

Tagged

  • Healthcare
  • Interoperability
  • Data
  • Product
  • Architecture
← PreviousWhen Serving Agents Costs More Than They EarnNext →The Job Didn't Disappear. It Moved Up the Stack.

Related

  1. October 30, 2026·Engineering

    Vendor Matching Is Where Due Diligence Starts Cascading→

    A weak vendor or customer match does not stay local. It multiplies through finance, risk, support, and AI agents. Entity resolution is not housekeeping. It is the control point for everything that follows.

    Data · Architecture · Business · Product3 min read

  2. June 30, 2026·Projects

    The Stealth Build: Cleaning HL7 and C-CDA Before Anyone Trusts It→

    For months I've been quietly building a pipeline that takes raw HL7 v2 messages and C-CDA documents, repairs them, maps their codes to standard vocabularies, and turns them into FHIR and OMOP. Why healthcare interop data is so messy, and the approach that's working.

    Healthcare · Interoperability · Data · AI8 min read

  3. October 21, 2026·Product

    The Schema Is the Skeleton, the Network Is the Bloodstream→

    Building software keeps getting cheaper. What stays scarce is a clean, modular data model and an existing web of customers, partners and channels that will carry the product. Why I think that pairing is the nucleus of most winning formulas, and what the research says.

    Architecture · Data · Business · Product9 min read