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Build local-first family medical records from source documents.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "pemr" yet — see the docs or source repo.
Use pemr to ingest a batch of source medical documents, deduplicate them, and keep the results queryable.
A cleaned medical record set with duplicates merged or removed.
Use pemr to query medical information from these source documents and return it grouped by topic.
A topic-grouped query result for quick retrieval.
Use pemr to generate a family medical record framework from source documents for ongoing maintenance.
A maintainable medical record structure generated from the documents.
When a family has scattered reports, notes, and medical documents, use it to ingest them first, then deduplicate and query them. It helps turn loose files into a maintainable local record set.
If you want medical data handled locally, its Python CLI and MCP server can serve as the workflow foundation. It is designed for local-first record organization and generation.
pemr is a local-first, family-scale medical record framework with a Python CLI engine and MCP server. It can ingest, deduplicate, query, and generate medical records from source documents.
Based on the provided information, it offers a Python CLI and MCP server, so you need a working Python environment. Other setup details are not provided; see the source repository.
It is not a general document editor; it is a framework focused on medical records, with ingestion, deduplication, querying, and structured record generation. It also emphasizes a local-first workflow.
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Analyze medical documents and prescriptions and answer patient medical questions.
Store personal health data locally for AI logging, retrieval, and analysis.
Quickly search and retrieve OpenEMR docs, guides, and API references.