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openmed - Local Healthcare AI for Private Clinical Workflows

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openmed - Local Healthcare AI for Private Clinical Workflows
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About openmed

Local-first healthcare AI: clinical NER & HIPAA PII de-identification that runs 100% on-device. 1,000+ medical models, 12 languages, Apple MLX + Python, no cloud, no patient data leaving your network. Apache-2.0 Source: official GitHub repository. This listing focuses on the project purpose, visible repository metadata, setup context, and builder use cases.

Pros

  • Runs clinical AI workflows locally so patient data stays on device or inside the network
  • Supports clinical named-entity recognition and HIPAA-oriented PII de-identification workflows
  • Surfaces access to more than 1,000 medical models with multilingual coverage across 12 languages
  • Includes Apple MLX and Python paths for teams that need local deployment flexibility
  • Apache-2.0 open-source repository that can be inspected, forked, and deployed without vendor lock-in

Cons

    Pricing

    Open source
    $0
    • Use the public GitHub repository
    • Review license and setup instructions before production use
    • Self-host or adapt the source code where the license allows