In Part 1 of this series, we covered the three forces that have made EHR data viable for insurance: regulatory enforcement, national exchange infrastructure, and modern interoperability standards. The access problem is largely solved.

But access was never really the deepest problem. The industry has long struggled with APS (Attending Physician’s Statements), which are manually generated for each request, slow, and expensive. C-CDA (Consolidated Clinical Document Architecture) and CCDs (Continuity of Care Documents) were positioned as the digital upgrade to the paper-based APS. However, they are really just electronic versions of the same static documents that have been used for years. C-CDA/CCD are clinical document standards designed for care coordination and regulatory compliance, not for underwriting decisions.

The format is the problem. And improving documents, or simply moving the same documents through electronic transport mechanisms, isn’t the answer.

Documents Were Never Designed for Underwriting

C-CDA and CCD share a common architecture and purpose. They are compiled summaries of clinical documents, built to communicate a patient’s history from one provider to another. They bundle large amounts of information into static files, organized around the needs of the treating clinician, not the needs of the risk assessor.

For underwriters, that mismatch creates a familiar set of problems:

  • Excessive data that obscures what actually matters for risk  
  • Long turnaround times driven terrestrial medical record retrieval and manual review  
  • Inconsistent structure across providers  
  • Limited ability to automate decisions confidently

This is why “digital” EHR data to date has so often disappointed. Terrestrial Record Retrieval and APS vendors as well as HIEs have been positioning the electronic delivery of these documents as Electronic Health Records. While the delivery was faster, and the data was digital, the format was still a frustrating clinical document. 

What Underwriters Actually Need

FHIR – pronounced “Fire” and standing for Fast Healthcare Interoperability Resources – represents a shift from clinical documents to true EHR as a data asset. FHIR is a defined, structured data format that delivers the entire medical record in a machine-readable format. The output is defined and predictable, so, instead of requesting a summary of care and hoping the right information is buried inside, FHIR allows insurers to query exactly what they need—conditions, medications, lab results, vitals—and receive structured, standardized results data that answers their questions directly.   

Here’s a concrete way to think about the difference.

Imagine you are filing your taxes with an online tax service and need to enter all of your investment activities. 

You can gather all of your 1098s and copy the information into your tax software. Or, you can link your financial institutions directly, and stream the necessary data directly into your tax forms.  Your tax software doesn’t need the 1098 documents–It needs the data. And providing the data directly is faster, less error-prone, and more interoperable.  

FHIR is the modern interoperability standard that enables structured, machine-readable health data exchange and will deliver the most robust and accurate medical evidence that underwriters need.

FHIR Is the Backbone. Information Is the Goal.

The real value lies in what comes next: AI-powered analysis, smarter risk management decisions, and insights that weren’t possible before. FHIR is the mechanism that makes it all happen.

With this data platform, underwriting analysis and risk management benefit in several ways:

  • Clarity. Relevant clinical findings surfaced and organized around the risk questions.
  • Accuracy. Assessments linked back directly to the clinical data.
  • Completeness. Confidence that nothing critical is missing. 
  • Speed. Evidence arrives while the applicant is still engaged and the decision is still timely.

The value isn’t just in the standard that makes FHIR fast and structured; it’s in what purpose-built underwriting analytics can do with the data.

This is also why not all “EHR access” is equivalent. A vendor that retrieves a CCD and wraps it in a FHIR API hasn’t changed the model—they’ve repackaged a document in a different container. True EHR delivery means accessing native FHIR resources directly without filter or bias. 

What Changes When You Move Beyond Documents

When evidence is delivered as structured, decision-ready data rather than documents, several things become possible:

A foundation for AI. AI and analytics tools need good data to be effective. Structured, coded clinical data—organized around what matters for a decision—is exactly what these systems need to identify patterns, flag risk factors, and improve over time. 

Targeted retrieval. Instead of “get everything and review it,” workflows can start with intent. Retrieve the specific clinical elements relevant to this risk question, for this applicant, at this stage of the process.

Faster cycle times and better conversion. Evidence can move from weeks to minutes, reducing acquisition cost and improving placement by keeping applicants engaged.

A Data-Centric Future

The APS will not disappear overnight. Neither will CDA and CCD-based workflows. They remain familiar, defensible sources of evidence with established processes built around them.

Those constraints are no longer acceptable. The infrastructure now exists to deliver what underwriters have always actually needed: accurate, complete, timely clinical intelligence organized to support the decision at hand.

The format was the problem. Changing the format changes what’s possible.

Ready to Move Beyond Documents?

If changing the format changes what’s possible, the next step is clear. From targeted retrieval to AI-ready data, Greenlight delivers the data foundation modern underwriting requires to power faster, more precise, and more efficient decisions. Connect with us to explore what’s possible.