HealthRex/CDSS
Oct 2024 – Jan 2026
12 Months active
Languages Used
Google Apps ScriptPythonJupyter NotebookMarkdownHTML
Technical Skills
BigQuery IntegrationData ExtractionData ProcessingGoogle Forms AutomationLLM IntegrationPython Scripting
Francois Grolleau
PROFILE
Francois Grolleau
Over twelve months, François Grolleau engineered robust clinical data automation and interoperability features for the HealthRex/CDSS repository. He developed end-to-end pipelines for extracting and processing discharge summaries, radiology, and procedure reports using Python, FHIR APIs, and large language models, automating data entry and enabling downstream analytics. François introduced a unified, provider-agnostic LLM interface, enhanced error handling, and delivered comprehensive documentation and onboarding guides, including PHI-safe workflows and clinician annotation tutorials. His work emphasized maintainability, compliance, and developer experience, with deep integration of Google Cloud services, API development, and data engineering, resulting in scalable, auditable solutions for clinical data management.
Overall Statistics
Feature vs Bugs
84%Features
Repository Contributions
35Total
Bugs
3
Commits
35
Features
16
Lines of code
24,815
Activity Months12
Your Network
12 people
Work History
January 2026
1 Commits • 1 Features
Jan 1, 2026January 2026 — HealthRex/CDSS delivered a focused, value-driven month centered on documentation and secure data practices for high-risk PHI. The team introduced a comprehensive Clinician Guide for annotating high-risk PHI data, detailing secure workflows across Google Sheets and custom web applications. This work addresses compliance and usability challenges, standardizes annotation practices, and sets the foundation for auditable, scalable data labeling.
1 Commits • 1 Features
Jan 1, 2026January 2026 — HealthRex/CDSS delivered a focused, value-driven month centered on documentation and secure data practices for high-risk PHI. The team introduced a comprehensive Clinician Guide for annotating high-risk PHI data, detailing secure workflows across Google Sheets and custom web applications. This work addresses compliance and usability challenges, standardizes annotation practices, and sets the foundation for auditable, scalable data labeling.
January 2026
October 2025
1 Commits • 1 Features
Oct 1, 20252025-10 Monthly Summary: Delivered a new FHIR API endpoint to download CV Cath Procedure Reports as PDFs within HealthRex/CDSS, including end-to-end data fetch, PDF rendering, and persistence, along with comprehensive documentation updates. This work enables automated access to critical procedure reports and supports downstream workflows for clinicians and analytics. No major bugs reported this cycle.
October 2025
1 Commits • 1 Features
Oct 1, 20252025-10 Monthly Summary: Delivered a new FHIR API endpoint to download CV Cath Procedure Reports as PDFs within HealthRex/CDSS, including end-to-end data fetch, PDF rendering, and persistence, along with comprehensive documentation updates. This work enables automated access to critical procedure reports and supports downstream workflows for clinicians and analytics. No major bugs reported this cycle.
September 2025
7 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for HealthRex/CDSS focused on expanding data interoperability through FHIR integrations and improving developer-facing documentation. Delivered three key features around radiology and discharge data access, and significantly enhanced FHIR endpoint documentation. These efforts accelerate data-driven clinical workflows and reduce onboarding effort for new contributors.
7 Commits • 3 Features
Sep 1, 2025September 2025 monthly summary for HealthRex/CDSS focused on expanding data interoperability through FHIR integrations and improving developer-facing documentation. Delivered three key features around radiology and discharge data access, and significantly enhanced FHIR endpoint documentation. These efforts accelerate data-driven clinical workflows and reduce onboarding effort for new contributors.
September 2025
August 2025
4 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for HealthRex/CDSS focused on developer experience and maintainability. Delivered new FHIR API Guides and Quick Start with Python examples for retrieving patient identifiers and demographics; updated GPT-5 API access instructions to streamline deployments; introduced SHC LLM API documentation improvements with clarified API key usage and enhanced reference navigation; performed cleanup by removing the outdated fhir_enpoints.md to remove stale information. These efforts reduce onboarding time, minimize integration friction, and improve long-term maintainability. Key commits across items demonstrate precise documentation work and a proactive cleanup approach.
August 2025
4 Commits • 2 Features
Aug 1, 2025August 2025 monthly summary for HealthRex/CDSS focused on developer experience and maintainability. Delivered new FHIR API Guides and Quick Start with Python examples for retrieving patient identifiers and demographics; updated GPT-5 API access instructions to streamline deployments; introduced SHC LLM API documentation improvements with clarified API key usage and enhanced reference navigation; performed cleanup by removing the outdated fhir_enpoints.md to remove stale information. These efforts reduce onboarding time, minimize integration friction, and improve long-term maintainability. Key commits across items demonstrate precise documentation work and a proactive cleanup approach.
June 2025
3 Commits • 1 Features
Jun 1, 2025June 2025: HealthRex/CDSS focused on expanding LLM model support and improving resilience of API calls. Key features delivered include Gemini 2.5 Pro model support with a model-agnostic refactor to enable easier provider switching; robust error handling for LLM API calls via centralized retry and error reporting; and re-enabling GPT-4o model support by updating the SHC LLM API integration. These changes reduce downtime, broaden capability, and improve developer experience for model integrations.
3 Commits • 1 Features
Jun 1, 2025June 2025: HealthRex/CDSS focused on expanding LLM model support and improving resilience of API calls. Key features delivered include Gemini 2.5 Pro model support with a model-agnostic refactor to enable easier provider switching; robust error handling for LLM API calls via centralized retry and error reporting; and re-enabling GPT-4o model support by updating the SHC LLM API integration. These changes reduce downtime, broaden capability, and improve developer experience for model integrations.
June 2025
April 2025
3 Commits • 1 Features
Apr 1, 2025Month: 2025-04 | HealthRex/CDSS delivered a key feature and related docs update to streamline multi-provider LLM usage and PHI/HIPAA compliance. The core achievement was the Unified Multi-Provider LLM Interface, introducing the agnostic_evaluator_models.py module to provide a provider-agnostic interface for LLMs across Meta, Microsoft, Anthropic, Deepseek, OpenAI, and Google Gemini. This was complemented by extensive documentation improvements to support adoption and safe usage across providers. Key deliverables: - Implemented agnostic_evaluator_models.py to standardize LLM interactions across providers, enabling seamless model switching and pluggable backends. - Updated phi-llm-api-python.md with model-switching and text-generation utility examples to accelerate integration and reduce boilerplate. - Expanded PHI-safe LLM API documentation to include new models and helper references, plus clearer guidance on multi-provider usage and PHI/HIPAA considerations. - Documentation polish and minor fixes (e.g., typo correction) to improve accuracy and developer confidence. Top commits: - ac6fb79314811f833f1ebf1e7d048bd24d10a2a8: Update PHI-safe LLM API guide with new models and helper function reference - 0a97b8aeca266ebfc2a52fb01200c74099922105: add model-switching and text generation utility examples to LLM API guide - 91be99bc753f0125317da96ea1d886599fa755fc: Fix typo on PHI-safe LLM API update
April 2025
3 Commits • 1 Features
Apr 1, 2025Month: 2025-04 | HealthRex/CDSS delivered a key feature and related docs update to streamline multi-provider LLM usage and PHI/HIPAA compliance. The core achievement was the Unified Multi-Provider LLM Interface, introducing the agnostic_evaluator_models.py module to provide a provider-agnostic interface for LLMs across Meta, Microsoft, Anthropic, Deepseek, OpenAI, and Google Gemini. This was complemented by extensive documentation improvements to support adoption and safe usage across providers. Key deliverables: - Implemented agnostic_evaluator_models.py to standardize LLM interactions across providers, enabling seamless model switching and pluggable backends. - Updated phi-llm-api-python.md with model-switching and text-generation utility examples to accelerate integration and reduce boilerplate. - Expanded PHI-safe LLM API documentation to include new models and helper references, plus clearer guidance on multi-provider usage and PHI/HIPAA considerations. - Documentation polish and minor fixes (e.g., typo correction) to improve accuracy and developer confidence. Top commits: - ac6fb79314811f833f1ebf1e7d048bd24d10a2a8: Update PHI-safe LLM API guide with new models and helper function reference - 0a97b8aeca266ebfc2a52fb01200c74099922105: add model-switching and text generation utility examples to LLM API guide - 91be99bc753f0125317da96ea1d886599fa755fc: Fix typo on PHI-safe LLM API update
March 2025
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for HealthRex/CDSS focused on API documentation and developer experience improvements. Delivered API Documentation Enhancement for Claude 3.7 Sonnet model PHI-safe LLM API, including a Python snippet illustrating how to construct the request with the model ID and prompt, and added documentation for another supported LLM to broaden interoperability. No major bugs reported or closed this month; minor maintenance carried out in docs to ensure consistency with latest API changes.
1 Commits • 1 Features
Mar 1, 2025March 2025 (2025-03) monthly summary for HealthRex/CDSS focused on API documentation and developer experience improvements. Delivered API Documentation Enhancement for Claude 3.7 Sonnet model PHI-safe LLM API, including a Python snippet illustrating how to construct the request with the model ID and prompt, and added documentation for another supported LLM to broaden interoperability. No major bugs reported or closed this month; minor maintenance carried out in docs to ensure consistency with latest API changes.
March 2025
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 (HealthRex/CDSS) — Delivered documentation enhancements to support HIPAA PHI processing with two new LLMs, providing concrete API call examples and payload structures. Focused on enabling secure, compliant integration within the Stanford Healthcare environment. No major bugs fixed this month; emphasis on documentation quality and developer onboarding.
February 2025
1 Commits • 1 Features
Feb 1, 2025February 2025 (HealthRex/CDSS) — Delivered documentation enhancements to support HIPAA PHI processing with two new LLMs, providing concrete API call examples and payload structures. Focused on enabling secure, compliant integration within the Stanford Healthcare environment. No major bugs fixed this month; emphasis on documentation quality and developer onboarding.
January 2025
8 Commits • 2 Features
Jan 1, 2025January 2025 HealthRex/CDSS monthly summary focused on delivering high-value tutorials, stabilizing learning experience, and reinforcing compliance readiness. Delivered two major tutorials with Colab-friendly setups, expanded proofs and coverage for causal inference, and PHI-safe LLM APIs guidance, while applying critical fixes and ensuring documentation consistency to accelerate developer onboarding and safe AI adoption.
8 Commits • 2 Features
Jan 1, 2025January 2025 HealthRex/CDSS monthly summary focused on delivering high-value tutorials, stabilizing learning experience, and reinforcing compliance readiness. Delivered two major tutorials with Colab-friendly setups, expanded proofs and coverage for causal inference, and PHI-safe LLM APIs guidance, while applying critical fixes and ensuring documentation consistency to accelerate developer onboarding and safe AI adoption.
January 2025
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024: HealthRex/CDSS focused on delivering a reusable, notebook-based Causal Inference Tutorial and supporting docs to accelerate learning, reproducibility, and experimentation. Delivered end-to-end tutorial covering estimators (G-computation, IPW, normalized IPW, AIPW) with Python examples; included notebook tutorials, nuisance MLP hyperparameter tuning, and GPU/VM setup documentation; added Colab link for easy sharing; updated SSH GPU-VM tutorial. This work enhances decision-support capabilities by enabling faster experimentation and more robust estimator implementations in production-like environments.
December 2024
4 Commits • 1 Features
Dec 1, 2024December 2024: HealthRex/CDSS focused on delivering a reusable, notebook-based Causal Inference Tutorial and supporting docs to accelerate learning, reproducibility, and experimentation. Delivered end-to-end tutorial covering estimators (G-computation, IPW, normalized IPW, AIPW) with Python examples; included notebook tutorials, nuisance MLP hyperparameter tuning, and GPU/VM setup documentation; added Colab link for easy sharing; updated SSH GPU-VM tutorial. This work enhances decision-support capabilities by enabling faster experimentation and more robust estimator implementations in production-like environments.
November 2024
1 Commits • 1 Features
Nov 1, 2024Nov 2024 monthly summary for HealthRex/CDSS focusing on the Discharge Summary Evaluation (DCeval) frontend enhancements and LLM integration. Implemented frontend data extraction/processing, Llama3-based prefilling, data export capabilities (CSV/TXT/pickle), note-cleaning scripts, and Google Apps Script updates to streamline forms and responses. The work lays the groundwork for end-to-end LLM-assisted discharge summary evaluation, improves data quality and readiness for model-driven analysis, and enhances maintainability through refactoring and documentation.
1 Commits • 1 Features
Nov 1, 2024Nov 2024 monthly summary for HealthRex/CDSS focusing on the Discharge Summary Evaluation (DCeval) frontend enhancements and LLM integration. Implemented frontend data extraction/processing, Llama3-based prefilling, data export capabilities (CSV/TXT/pickle), note-cleaning scripts, and Google Apps Script updates to streamline forms and responses. The work lays the groundwork for end-to-end LLM-assisted discharge summary evaluation, improves data quality and readiness for model-driven analysis, and enhances maintainability through refactoring and documentation.
November 2024
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — HealthRex/CDSS monthly summary. Key feature delivered: Discharge Summary Extraction and Automated Form Population. Implemented an end-to-end pipeline that uses Llama-3.2-3B-Instruct to extract structured data from discharge summaries and automatically populate Google Forms. The pipeline covers data extraction, dynamic form creation, population of responses, and collection for rubric generation, enabling automated rubric creation for discharge summaries. Bug fixes: No major bugs fixed in this cycle; no blocking issues reported. Overall impact: Reduces manual data entry for discharge summary rubrics, accelerates rubric creation, and improves consistency and traceability of data captured. This automation enables faster QA, reporting, and downstream analytics, strengthening clinical documentation workflows and compliance readiness. Technologies/skills demonstrated: Llama-3.2-3B-Instruct for information extraction; Google Forms automation for form creation and population; data extraction pipelines and end-to-end automation; repository-level traceability via commit 96b32f20bbc59d434c8fe8627e1736e1976b1843.
October 2024
1 Commits • 1 Features
Oct 1, 2024Month: 2024-10 — HealthRex/CDSS monthly summary. Key feature delivered: Discharge Summary Extraction and Automated Form Population. Implemented an end-to-end pipeline that uses Llama-3.2-3B-Instruct to extract structured data from discharge summaries and automatically populate Google Forms. The pipeline covers data extraction, dynamic form creation, population of responses, and collection for rubric generation, enabling automated rubric creation for discharge summaries. Bug fixes: No major bugs fixed in this cycle; no blocking issues reported. Overall impact: Reduces manual data entry for discharge summary rubrics, accelerates rubric creation, and improves consistency and traceability of data captured. This automation enables faster QA, reporting, and downstream analytics, strengthening clinical documentation workflows and compliance readiness. Technologies/skills demonstrated: Llama-3.2-3B-Instruct for information extraction; Google Forms automation for form creation and population; data extraction pipelines and end-to-end automation; repository-level traceability via commit 96b32f20bbc59d434c8fe8627e1736e1976b1843.
Activity
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Quality Metrics
Correctness91.4%
Maintainability91.8%
Architecture90.0%
Performance85.2%
AI Usage32.8%
Skills & Technologies
Programming Languages
Google Apps ScriptHTMLJupyter NotebookMarkdownPython
Technical Skills
API DevelopmentAPI IntegrationBigQuery IntegrationCausal InferenceCloud ComputingCloud Services (Google BigQuery, Google Drive)Code CorrectionCode ExamplesData AnalysisData EngineeringData ExportData ExtractionData ParsingData ProcessingData Science
Repositories Contributed To
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