The Gaps Claims Can't Fill

Claims tells you what was billed.
EHR tells you what happened clinically.

Claims data offers unmatched scale, longitudinal coverage, and payer visibility. But because claims are generated for reimbursement, many clinical details are structurally missing. These aren't gaps better vendors or smarter queries can close.

EHR data fills them directly, turning a strong foundation into a complete clinical picture.

You Don't Have to Choose

Claims has the coverage.
EHR has the clinical truth.
You can have both.

Claims data remains foundational for its broad coverage. EHR data provides the clinical truth claims cannot.

Have the best of both worlds.

Featured Case study

The Same Patients. Completely Different Answers.

Clinically informed integration of EHR and claims produces fundamentally different answers to every clinical question that matters, compared to using claims data alone.

Market Sizing
1 in 3

patients found based on claims-based criteria have actual clinical confirmation

44%

of true patients missed entirely by claims

Claims-identified cohorts mix true patients with false positives and rule-outs.

Treatment Landscape

Claims:

1 in 3 patients treated

EHR + Claims:

9 in 10 patients treated

Specialty pharmacy makes many treatments invisible to claims.

Physician Characterization
Claims:

85% of diagnosing physicians in the "Other" specialty category

EHR + Claims:

Uncover detailed breakdown of physician specialties, aligned with clinical expectations

Claims capture who submitted a billing code, not who actually made the diagnosis.

Disease Burden

Claims:

<2 flares / year

EHR + Claims:

Over 20 flares / year

Most of these flares are self-managed and never generate a medical encounter in a claim.

The gaps in claims that EHRs can fill
Claims Data
EHR Data
Diagnosis
ICD codes often nonspecific, miscoded, carried forward
Confirmed diagnosis, stage, severity
Treatment
Pharmacy fills only
Exact drug, dose, administration date
Biomarkers
Test ordered, but results not captured
Lab values, genomics, radiology findings
Disease Specifics
No disease activity without a medical encounter
Documented symptoms & outcomes
Clinical Rationale
No clinical context
The why behind prescriptions, treatment switches, and off-label use
Historical Capture
Begins at data license start date
Retrospective documentation is captured