Conditions that should be diagnosed, but are not.
Every candidate is an unconfirmed FHIR Condition with an ICD-10 code and the evidence behind it — never an automatic diagnosis.
Join the teams finding what the problem list missed in the history they already hold.
Read customer stories

Condition Suspecting & Recapture
Candidates for review, with the evidence attached.
The record evaluated against clinical definitions
The longitudinal history is screened for conditions that meet documented clinical definitions but appear nowhere on the problem list.
Never an automatic diagnosis
Candidates arrive as unconfirmed FHIR Conditions for clinical or coding review. The problem list never changes on its own.
Evidence you can open
Each candidate carries its supporting Observations, Procedures, and MedicationRequests, so review starts from the proof.
Suspect, recapture, and chronicity
New candidates, previously documented conditions due for review, and a separate chronic / non-chronic / unspecified enrichment.
Benefits
An empty chart is not an empty history.Suspecting reads what you retrieved and says what to review.
Find the patients whose charts say nothing.
A connected chart is not the same as a complete one. Screening the retrieved history surfaces the patients whose records exist elsewhere — and gives care teams something to treat against.
One national enterprise screened a 20,649-patient sample and discovered 2,869 patients whose charts carried zero documents on file.
Your clinicians stay the decision-makers.
Every output is an unconfirmed candidate with an ICD-10 code and its evidence. Review confirms or rejects it; nothing writes to the problem list automatically.
Read the suspecting docsRisk work starts from more usable data.
Suspecting runs on the harmonized record, so candidates are computed from history that has already been coded and deduplicated — not from one source’s fragment.
Navina measured +18.5% usable data and +15% HCC suggestions per patient than their previous vendor.
How it works
Evaluate the record, review the candidates, open the evidence.The problem list is yours to change — suspecting only argues.
Evaluate the record against clinical definitions
Runs on the consolidated record after retrieval — the docs’ own example screen below.
Receive unconfirmed candidates
Suspect and recapture are distinct: one may never have been documented, the other was and needs review again.
Query the consolidated record behind them
Every candidate’s evidence resolves into the same consolidated FHIR record the rest of the platform reads.
Support
FAQs
No. It returns unconfirmed condition candidates for clinical or coding review and does not change the problem list automatically.
The documented evidence resources are Observations, Procedures, and MedicationRequests.
Suspect identifies a condition that may not have been documented, while recapture evaluates a condition documented previously that may need review again.
Chronicity classification is a separate enrichment that labels coded conditions as chronic, non-chronic, or unspecified. It is not a confidence score or diagnosis.
Explore our platform
All our products
Where does the data come from?
Where does my team actually use it?
What does it tell me that I didn’t know?