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OpenClinic AI

Never lose a patient to a lost paper folder again.

OpenClinic AI preview
Priya Das
Dhaka, Bangladesh 🇧🇩

What I’m building

OpenClinic AI turns a clinic’s existing paper records into a searchable, private patient history by reading handwritten notes, and gives nurses a quick summary before each visit. It runs mostly on-site so sensitive data never leaves the clinic.

Why I’m building it

I’ve watched a clinic re-diagnose a patient from zero because last month’s folder was misfiled. In a busy clinic that’s not rare, it’s Tuesday. Memory shouldn’t depend on whether a piece of paper survived.

What the tokens unlock

Credits run the handwriting OCR to digitize the backlog and the summarization model that briefs a nurse in ten seconds — with a local model handling anything sensitive.

  1. 1
    Handwriting OCR for the paper backlog1.4M
  2. 2
    Pre-visit patient summaries1M
  3. 3
    On-site privacy mode + pilot in one clinic800K

Tools & models

Vision OCR (handwriting)GPT-4oLocal model (privacy)

The builder

Priya Das

Dhaka, Bangladesh 🇧🇩

Health-systems engineer. A clinic shouldn’t lose a patient to a lost paper folder.

Identity verifiedGitHub connected

Supporters

26 people have pledged so far.

  • María TorresBarcelona, Spain· 2d ago

    Rooting for you. This should exist.

    100KAI Credits
  • Anonymous supporter· 4d ago
    500KOpenAI
  • Anonymous supporter· 6d ago

    Take my credits and go build it.

    250KCompute
  • Anonymous supporter· 8d ago
    1MClaude
  • Anonymous supporter· 10d ago
    500KGemini

Discussion

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