Python · By maziyarpanahi

Checks OpenMed de-identified clinical text against the 18 HIPAA Safe Harbor identifier categories and reports gaps and residual re-identification risk.

maziyarpanahi/openmed

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/openmed

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/openmed

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/openmed

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/openmed

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/openmed

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/openmed

Add a logging and telemetry guard that scrubs or blocks PHI from logs, traces, and error reports around an OpenMed deployment.

maziyarpanahi/openmed

Run OpenMed models fully on-device with the MLX (Apple Silicon), CoreML (iOS/macOS), or ONNX/WebGPU (cross-platform/browser) backends, including convert-quantize-run workflows.

maziyarpanahi/openmed