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batch-processing-clinical-text

maziyarpanahi/openmedSkill

Run large-scale batch NER, PII extraction, or de-identification over many clinical notes on-device with OpenMed, with sharding, checkpointing, resumability, and append-only JSONL output. Use when the user needs to process a corpus or folder of notes, de-identify a dataset, run NER over thousands of documents, build a resumable batch pipeline, or stream results to JSONL without holding everything in memory. Covers process_batch / BatchProcessor / BatchItem / BatchResult, the operation= selector (analyze_text | extract_pii | deidentify), iter_process streaming, the PHI-safe on_progress callback,

ScannedSkillSource: GitHub
5,697 stars +43 this week Updated 16d ago License Apache-2.0 Context ≈158 tokens always loaded
77popular

Why this score

Stars19/35
Usage (forks)8/15
Upkeep25/25
License15/15
Owner history10/10

This repo hosts 10 skills, so its 5,697 stars are split between them (about 570 each) for scoring.

Popularity score: 77/100 from public GitHub signals only. It shows how widely used and maintained this is, not how well it works. Not included yet: the fake-star check. The security scan is shown separately and doesn't change the score. How we rank

Security

Scanned Oct 20, 2026 at commit 8440bdac5962, with Cisco's open-source skill-scanner.

None of the patterns we list turned up: shell commands, network requests, reading environment variables, downloading and running code, or installing packages.

A scan lists patterns in the code. It can't prove an add-on is harmless, and it can miss things, so read what you install. How we scan

Alternatives

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