Health Informatics Python Packages

pyomop

Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.

ambition-edc

(P.I. Joe Jarvis) High Dose AMBISOME on a Fluconazole Backbone for Cryptococcal Meningitis Induction Therapy in sub-Saharan Africa: A Phase 3 Randomised Controlled Non-Inferiority Trial

edc-visit-schedule

Define data collection schedules for CRFs and Requisitions.

edc-visit-tracking

Track study participant visits and ensure documented cover for all data collection on participants

edc-lab

Lab module to Receive, Process, Pack, Verify, Ship

edc-export

Export Edc models to CSV

edc-pdutils

Use pandas with the Edc

edc-reportable

Reportable clinic events, reference ranges, grading

public-health-framework

Extensible Python framework for public-health data systems, validated imports, APIs, and offline dashboards.

biomedicus

BioMedICUS: A biomedical and clinical NLP engine.

satusehat-integration

SATUSEHAT FHIR R4 SDK for Python — easy way to create FHIR R4 resource object

biomedicus-client

BioMedICUS: A biomedical and clinical NLP engine.

iflow-mcp-dermatologist-pyomop

Python package for managing OHDSI clinical data models. Includes support for LLM based plain text queries, MCP server and FHIR import.

medberg

⚙️ Library for downloading files from the Cencora secure file transfer site

episia

Python toolkit for epidemiological modelling and reporting. SIR/SEIR/SEIRD compartmental models, sensitivity analysis, interactive visualisations, and automated HTML/Markdown/JSON reports, built for low-resource health contexts.