pemr

Personal EMR — a local-first, family-scale medical record framework. Source documents (scanned labs, visit notes, etc.) are retained as-is; a SQLite database is the source of truth for structured data. Deterministic work — ingest, deduplication, query, analysis, and brief-generation — lives in a Python CLI engine wrapped by a thin MCP server, so AI agents call typed tools instead of re-inventing the logic on every request.

⚠️ This repository is framework + documentation only. No personal or medical data lives here. The live database, source scans, generated exports, and backups all reside outside the repo in a local data directory. .gitignore hard-blocks databases, documents, and the data/ inbox/ sources/ exports/ backups/ dirs as a backstop.

What it does

• Ingest without duplication — content-hash on source files (catches re-scans) plus semantic dedup keys on extracted rows (same clinical fact from two documents → one row).

• Query fast — canned + ad-hoc reads over a typed schema (labs, meds, procedures, appointments) with a generic observations catch-all for the long tail.

• Generate on demand — master health summary, per-appointment "walk-in readiness" briefs, and a chronological journal, all rendered from the DB so they never drift.

• Extend to the whole family — one DB, person_id on every row; adding a member is one command, not a fork of the tooling.

Full design — schema, dedup algorithm, ingest pipeline, tool surface, backup — in docs/Architecture.md.

Related MCP server: Medical MCP Server

Design decisions

Status

Design is locked; build proceeds in phases (skeleton → ingest/dedup → query → render → MCP → backup → care-gap rules) per the Architecture doc. Phase 1 (skeleton) is done: package layout, migrations/001_init.sql, pemr migrate, pemr person add|list|show, config, CI. Phase 2 (ingest + two-layer dedup) is done: content-hash blob store + commit-extraction (pemr ingest), semantic dedup keys with conflict staging (migrations/002_conflict.sql, pemr review-conflicts), starter analyte/name dictionary. Phase 3 (query layer) is done: structured reads (pemr query labs|meds|timeline), full-text search over OCR text + record fields (migrations/003_fts.sql, pemr find), and lab pemr trends — all with --json.

Data / privacy posture

Local-first. The live pemr.db sits on a non-synced local path (WAL sidecars corrupt under cloud sync); only clean VACUUM INTO snapshots sync to Drive/OneDrive. Private-ish, not encrypted-at-rest by default — an encrypted-snapshot upgrade is a drop-in later. No HIPAA/PHI compliance layer and no provider interoperability; this is a personal archive, and it assists appointment prep and research — it does not give clinical advice.

Framework scaffolding (from the template)

This repo was generated from meridun/model-repo and carries its documentation-tier system, token-optimizer hooks, role-based model routing, and the agentic SDLC pipeline. See docs/Documentation.md and docs/Development_AgenticSDLC.md. The skill/agent prefix has been renamed from the template default to pemr-.