openmed: On-Device Healthcare AI
Openmed is a local-first solution that performs clinical named entity recognition (NER) and HIPAA protected health information (PHI) de-identification on-device, without sending patient data to the cloud.
- •You're building a healthcare application that requires analyzing medical text data while keeping patient information secure and compliant with HIPAA regulations.
- •Your startup needs to process large volumes of medical records or clinical notes without relying on cloud services for data processing.
- •You want to leverage the power of AI in medical text analysis but are restricted by data privacy concerns or limited internet connectivity.
python openmed/cli.py --text "The patient, John Doe, was diagnosed with diabetes." --model models/en_ner_bc5cdr_md
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/openmed && curl -fsSL https://workflowstacks.com/api/skills/openmed/claude-skill -o ~/.claude/skills/openmed/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
What's inside — free to inspect
Read the entire source before you build — unlike paid marketplaces that hide it behind a buy button.
Skip the builder — one click puts this in Claude, Cursor, Antigravity and more.
Installs with a command or two; your AI agent can do it for you.
mkdir -p ~/.claude/skills/openmed && curl -fsSL https://workflowstacks.com/api/skills/openmed/claude-skill -o ~/.claude/skills/openmed/SKILL.mdOpens the app with this repo with the prompt ready to go — no copy-paste needed.
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