{"categories":[{"label":"Artificial Intelligence","url":"https://skillfed.io/packages/category/scientific-engineering-artificial-intelligence/2"}],"enrichment":{"capability":"Extracts medical entities and personally identifiable information from clinical text, then de-identifies it\u2014all running locally on your hardware after required model artifacts are available.","skillfed_tags":["clinical-nlp","pii-redaction","medical-extraction"],"use_cases":["De-identify clinical discharge notes or EHR text before sharing with research teams or external systems","Extract structured medical entities (diagnoses, medications, procedures) from unstructured clinical narratives","Build a local clinical NLP pipeline that never sends patient data to a cloud API","Integrate clinical text processing into healthcare applications on Apple Silicon or Android devices","Validate and redact PII from synthetic or real clinical documents for compliance workflows"],"what_it_does":"OpenMed is a local-first Python SDK for clinical text processing: it extracts medical entities (diseases, drugs, procedures) and detects personally identifiable information (names, addresses, IDs, billing data), then returns de-identified text. The core runtime runs on your hardware after required model artifacts are available; model downloads, remote adapters, and user-configured integrations may use the network. It depends on faker, jieba, pysbd, and pyyaml for text processing and data generation.\n\nThe package targets Python 3.10+ and ships as a pure wheel. It supports multiple deployment surfaces\u2014Python, Swift/MLX on Apple Silicon, Android/ONNX Runtime Mobile, and browser/Transformers.js\u2014though the PyPI package itself is the Python runtime. Deployment owners are responsible for validating each model's terms, privacy behavior, and clinical fitness; using the SDK does not itself establish HIPAA compliance.","worth_installing":"Yes, if you need local clinical text extraction and de-identification and can validate model terms for your deployment. Low install friction, active maintenance, permissive license, and no known vulnerabilities. Requires upfront work to acquire and validate model artifacts and confirm clinical fitness for your use case\u2014this is not a plug-and-play compliance tool."},"id":"openmed","links":{"html":"https://skillfed.io/packages/openmed","md":"https://skillfed.io/packages/openmed.md","pypi":"https://pypi.org/project/openmed/"},"maintenance":{"status":"active"},"meta":{"latest_release":"2026-08-12","license_spdx":null,"license_treatment":"permissive","name":"openmed","python_support":"supports_current","summary":"Local-first SDK for clinical extraction and de-identification workflows on hardware you control."},"popularity":{"monthly_downloads":3975274,"position":2432,"tier":"top_5000"},"security":{"n_vulnerabilities":0},"version":"2.1.0"}