Case study
ClinSift
AI that reads clinical documents so clinicians do not have to retype them
A healthcare provider handling thousands of clinical documents a month

The story
From the problem to a system that works
- 01
What the client wanted
Turn clinic notes and patient reports into structured data automatically, with a clinician reviewing every result.
- 02
The challenge
Staff read each document and retyped symptoms, medications, and follow-ups into the record system. The queue was days long and typing errors were common.
- 03
What we built
We built ClinSift, which reads uploaded documents, extracts patient details, complaints, vital signs, medications, and plans with a confidence score for each field, and sends them to a review queue for a clinician to approve.
Delivered
What ClinSift includes
- AI extraction from clinical documents
- Confidence score for every field
- Clinician review and approval queue
- AI highlights and document summaries
- Audit trail of every change

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