Every suspect arrives with its evidence

Discover conditions that should be presently diagnosed, but are not, based on a patient's longitudinal medical record.

Join the teams finding what the problem list missed in the history they already hold

Read customer stories
Daymark Health
Chamber Cardio
Thyme Care
Strive Health
Oasis Health Partners
Brigade Health
Amazon One Medical
Hoag

Condition Suspecting & Recapture

Candidates for review, with the evidence attached

The record, screened 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 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 conditions your charts never mention

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 surfaced critical conditions in 2,869 patients whose own charts carried no sign of them.

Read the discovery band

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 docs

Risk 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% more usable data and 15% more HCC suggestions per patient than their previous vendor.

See the Harmonization Engine

How it works

Suspecting only argues.The problem list stays yours.

  1. Evaluate the record against clinical definitions

    Runs on the consolidated record after retrieval, against the definitions in the suspecting docs.

  2. Receive unconfirmed candidates

    Suspect and recapture are distinct: one may never have been documented, the other was and needs review again.

  3. 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.

See what your panel's history is arguing for