HiPerHealth
PROJECT
Part of: Open Science Labs
Fiscal Host: Open Source Collective
A Python library for clinical AI workflows
Budget
Transparent and open finances.
Credit from Ivan Ogasawara to HiPerHealth •
+$120.00USD
Completed
Contribution #967538
Code generation , using generative ai , frontend development
Category
Maintenance and Development
from Mrudula to HiPerHealth •
-$20.00 USD
Incomplete
-₹2,145.00 INR
~$22.27 USD
Incomplete
$
Today’s balance$102.42 USD
Total raised
$102.42 USD
Total disbursed
--.-- USD
Estimated annual budget
$120.00 USD
About
A Python library for clinical AI workflows.
Composable, stage-independent pipelines for screening, diagnosis, treatment, and more.
Composable, stage-independent pipelines for screening, diagnosis, treatment, and more.
Skill-Based Pipeline
Stages run independently, at different times, by different actors. Compose clinical workflows from modular skills.
Session Files
Parquet-backed event logs for persistent, resumable clinical workflows across multiple patient visits.
Requirement Checking
Skills declare what information they need before execution, with three priority levels: required, supplementary, and deferred.
Built-in Skills
DiagnosticsSkill for differential diagnosis, ExtractionSkill for PDF/image reports, and PrivacySkill for PII de-identification.
Extensible
Create custom skills as Python classes, install third-party skills via entry points or Git URLs.
Data Science Friendly
Sessions are standard parquet files, queryable with pandas, polars, or DuckDB. Use from Jupyter notebooks.
Our team
Saransh Chopra
Core Contributor
Francisco Palm
Core Contributor
Devansh Parmar
Core Contributor
Ever Vino
Admin
Open Science ...
Admin
Anavelyz
Core Contributor
Gagandeep Singh
Core Contributor
Mariangela Pe...
Core Contributor
Yurely Camacho
Admin
Mfonobong Emm...
Core Contributor
Ana Paula Kre...
Core Contributor
Abhijeet Saroha
Core Contributor
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Financial Contributions
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