Gesund interprets medical evidence across sources and time to reconstruct the applicant’s clinical story.
The underwriting decision stays with the carrier.
A summary can find the record. A claims or prescription hit can find a signal. A score can find a rank. The applicant’s clinical story still has to be reconstructed.
Gesund is not a medical-summary product. It recognizes the condition in the data, then reads the rest of the data against that picture: claims, prescriptions, labs, exams, EHR, and the attending physician statement. What supports it. What counts against it. How conditions affect one another. Where the data has gaps. What remains unresolved.
The condition is not assumed, and it is not assembled from fragments until it looks like one. Clinical nomenclature, codes, and descriptions resolve to one condition. Gesund follows that condition across the data: onset, severity, control, trajectory, and its relationships to other conditions.
An underwriter’s expertise is judgment about risk. Gesund does the reading first, and returns a conditions-based clinical story with its supporting evidence.
Built for the cases that require human judgment.
What supports the conclusion. What limits it. Where the data has gaps. What remains unresolved. Gesund makes all four visible.
When the data is incomplete, conflicting, or insufficient, Gesund says so. Where a conclusion cannot be supported, it abstains rather than filling the gap. The output can be replayed against the underlying data.
Gesund interprets the record. The underwriting decision stays with the carrier.
The same story is delivered as underwriter-ready intelligence and as structured clinical data. Carrier rules, analytics, and data science teams can work from the condition-level interpretation, rather than reconstructing it from raw medical data.
A Diplomate of the Board of Insurance Medicine, with twenty years in internal medicine overlapping twenty-five years as a life medical director, defines the clinical logic: how conditions are recognized, dated, characterized, and related.
A pharmacist who practiced before moving into health informatics spent years turning medication, claims, and clinical data into information underwriters could use.
One brings insurance medicine. One brings clinical informatics. Together they built Gesund around the condition, with conclusions grounded in the data and uncertainty kept visible.
We will return the conditions-based clinical story with its supporting data, so you can compare it with what your underwriters found.
Bring us a file