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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

Industry
Healthcare
Timeline
10 weeks
ClinSift AI medical document review screen extracting patient details, symptoms, and vital signs from a clinical note

The story

From the problem to a system that works

  1. 01

    What the client wanted

    Turn clinic notes and patient reports into structured data automatically, with a clinician reviewing every result.

  2. 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.

  3. 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

Built with

Timeline: 10 weeks from kickoff to launch.

ClinSift dashboard showing processed documents, extracted information, AI highlights, and confidence score

Want results like ClinSift?

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