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maziyarpanahi/openmed
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| # | Skill | Repository | Stars | Used in | Tokens | Auto-check | Licence | Updated |
|---|---|---|---|---|---|---|---|---|
| 1 | Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk. | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 2 | Fills in a model card for an OpenMed clinical NER or de-identification model from its evaluation reports: intended use, metrics, subgroups and limitations. | maziyarpanahi/ | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 3 | Walks a data pipeline against the HIPAA Privacy and Security Rule checklist and produces a gap report before it processes patient data. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 4 | Suggests candidate ICD-10-CM diagnosis and ICD-10-PCS procedure codes for clinical text extracted by OpenMed, with rationale for a certified coder to review. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 5 | Maps OpenMed-extracted, terminology-coded conditions, drugs and measurements into OMOP CDM v5.4 tables for OHDSI and ATLAS analytics. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 6 | Finds social risks such as housing instability or food insecurity in clinical notes and proposes matching ICD-10-CM Z-codes for a coder to confirm. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 7 | Converts scanned faxes, images, CSV/TSV exports and C-CDA XML into clean text on-device, ready for OpenMed de-identification and named-entity recognition. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 8 | Annotates VCF variants and normalizes HGVS nomenclature with public, license-free annotators (Ensembl VEP REST, VEP/SnpEff/ANNOVAR offline) and links variants to gnomAD population frequencies and… | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 9 | Choose the first OpenMed workflow skill for an intake, privacy, extraction, exchange, or verification request using deterministic local routing. | maziyarpanahi/ | 5.5k | — | ~2.5k | Automated safety check: Pass | Apache-2.0 | today |
| 10 | Packages standalone FHIR R4 resources from OpenMed output into one transaction Bundle with stable fullUrls and rewritten references, ready to post to a FHIR server. | maziyarpanahi/ | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 11 | Scans text that has already been de-identified for leftover identifiers such as SSNs, card numbers, emails and dates, and blocks release if anything turns up. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 12 | Produce a signed, reproducible, no-PHI audit trail for an OpenMed de-identification run via deidentify(audit=True). | maziyarpanahi/ | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 13 | Generates and verifies 21 CFR Part 11-style audit trails — who/what/when, electronic signatures, and tamper-evidence — for OpenMed pipelines in GxP and clinical-trial (GCP) settings. | maziyarpanahi/ | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 14 | Audit an OpenMed NER or de-identification model for performance disparities across demographic subgroups (sex, age band, race/ethnicity when available) using openmed.eval.fairnessreport. | maziyarpanahi/ | 5.5k | — | ~1.5k | Automated safety check: Pass | Apache-2.0 | today |
| 15 | 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. | maziyarpanahi/ | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 16 | Benchmark an OpenMed PII model with synthetic gold spans and report label-aware exact-span and grapheme recall without emitting identifier surfaces. | maziyarpanahi/ | 5.5k | — | ~1k | Automated safety check: Pass | Apache-2.0 | today |
| 17 | Score an OpenMed clinical or biomedical NER model against a user-supplied gold corpus with entity-level precision, recall, and F1, then break errors down per label. | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 18 | Combine OpenMed clinical NLP with Microsoft Presidio, spaCy, or LangChain through OpenMed's built-in interop adapter registry (openmed.interop). | maziyarpanahi/ | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 19 | Scaffold a synthetic gold-standard annotation project for evaluating OpenMed NER and de-identification models — label schema, annotation guidelines, BRAT or Label Studio config, and disjoint… | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 20 | Assemble a chronological patient timeline from OpenMed-extracted clinical events, normalizing dates and resolving relative time expressions on-device. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 21 | Orient and bootstrap any project that uses OpenMed, the on-device clinical and biomedical NLP library, for named-entity recognition, PHI de-identification, FHIR export, and evaluation. | maziyarpanahi/ | 5.5k | — | ~1.4k | Automated safety check: Pass | Apache-2.0 | today |
| 22 | Discover and pick the right OpenMed model for a clinical or biomedical task, domain, or language. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 23 | Maps chronic conditions extracted by OpenMed to CMS-HCC V28 risk-adjustment categories and estimates a RAF (Risk Adjustment Factor) score as decision support. | maziyarpanahi/ | 5.5k | — | ~2.2k | Automated safety check: Pass | Apache-2.0 | today |
| 24 | Compute electronic clinical quality measures (eCQMs) over structured data using CQL/QDM logic, lifting note-derived numerator and exclusion facts from OpenMed to improve measure capture. | maziyarpanahi/ | 5.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 25 | Select and customize OpenMed's seven bundled privacy policy profiles for de-identification, and build custom surrogate generators. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 26 | Authors computable phenotype and cohort definitions in the OHDSI ATLAS / CIRCE style over the OMOP CDM, combining standard concept sets with NLP-derived features that OpenMed extracts. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 27 | De-identify selected free-text columns in a local CSV, JSONL, or Parquet dataset with OpenMed and produce a separate redacted dataset plus a PHI-free aggregate summary. | maziyarpanahi/ | 5.5k | — | ~760 | Automated safety check: Pass | Apache-2.0 | today |
| 28 | Remove, mask, or replace PHI/PII in clinical free text on-device with OpenMed's deidentify(). | maziyarpanahi/ | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 29 | De-identify non-English clinical text on-device with OpenMed by passing lang= and locale= to deidentify(). | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 30 | Run OpenMed's Model Context Protocol (MCP) server so coding agents (Claude Code, Codex) and chat clients can call clinical NER, PII extraction, and de-identification as tools, on-device. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 31 | Computes disproportionality signals — PRR, ROR, EBGM, and IC (BCPNN) — over FAERS / OpenFDA drug-event data to flag potential safety signals. | maziyarpanahi/ | 5.5k | — | ~2.3k | Automated safety check: Pass | Apache-2.0 | today |
| 32 | Add a logging and telemetry guard that scrubs or blocks PHI from logs, traces, and error reports around an OpenMed deployment. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 33 | Evaluate an OpenMed de-identification or clinical NER model against the leakage-first release gates G1a through G8, which gate releases on residual PHI leakage rather than on F1. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 34 | Kick off and harvest a FHIR Bulk Data $export (system-, group-, or patient-level) and stream the resulting NDJSON into a batch OpenMed de-identification + NER pipeline at cohort scale. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 35 | Convert OpenMed NER output (entities from openmed.analyzetext) into FHIR R4 resources — Condition, MedicationStatement, Observation — using OpenMed's built-in FHIR R4 export helpers in… | maziyarpanahi/ | 5.5k | — | ~2.6k | Automated safety check: Pass | Apache-2.0 | today |
| 36 | Extract clinical entities from synthetic or already de-identified text with OpenMed and map them into deterministic FHIR R4 resources and a Bundle. | maziyarpanahi/ | 5.5k | — | ~940 | Automated safety check: Pass | Apache-2.0 | today |
| 37 | Run clinical and biomedical named-entity recognition on medical text with OpenMed's analyzetext. | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 38 | Reads DICOM file headers and DICOM-SR (Structured Report) content to pull study/series metadata and embedded report text, and flags PHI carried in header tags. | maziyarpanahi/ | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 39 | Detects and extracts tabular laboratory panels from PDFs, scans, and images into structured rows ready for OpenMed and FHIR. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 40 | Detect PHI/PII spans in clinical text with OpenMed's extractpii without altering the text. | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 41 | Fetches and pages FHIR R4 resources (Patient, DocumentReference, DiagnosticReport, Observation, Condition) from a FHIR REST server, decodes base64 attachments, and extracts clinical narrative for… | maziyarpanahi/ | 5.5k | — | ~1.9k | Automated safety check: Pass | Apache-2.0 | today |
| 42 | Add a CI gate that fails the build when an OpenMed de-identification model's recall on a held-out PHI set drops below threshold or any critical identifier leaks. | maziyarpanahi/ | 5.5k | — | ~1.7k | Automated safety check: Pass | Apache-2.0 | today |
| 43 | Generates synthetic but realistic patient records (FHIR R4 bundles, C-CDA documents, CSV) with MITRE Synthea for development, CI fixtures, demos, and leakage-gate test sets — zero real PHI. | maziyarpanahi/ | 5.5k | — | ~1.6k | Automated safety check: Pass | Apache-2.0 | today |
| 44 | Replace detected PHI with realistic, type-matched fake values in OpenMed so clinical notes stay readable and parseable instead of full of [REDACTED] markers. | maziyarpanahi/ | 5.5k | — | ~1.8k | Automated safety check: Pass | Apache-2.0 | today |
| 45 | Links entities extracted by OpenMed to UMLS Metathesaurus CUIs using the USER'S OWN UTS API key, with nothing from the Metathesaurus bundled or cached. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 46 | Load OpenMed clinical/biomedical NER models from the Hugging Face Hub or a local path and reuse them efficiently across calls. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |
| 47 | Maps laboratory and clinical observation names extracted by OpenMed to LOINC codes using the public Regenstrief LOINC and FHIR terminology APIs. | maziyarpanahi/ | 5.5k | — | ~2k | Automated safety check: Pass | Apache-2.0 | today |
| 48 | Maps clinical concept spans extracted by OpenMed to SNOMED CT concepts through a USER-SUPPLIED terminology server (the user's own Ontoserver, Snowstorm, or UMLS/UTS), never a bundled vocabulary. | maziyarpanahi/ | 5.5k | — | ~2.1k | Automated safety check: Pass | Apache-2.0 | today |