Patient case summary

[marziabil]

Link to X thread added in the Readme

Summary by CodeRabbit

• Documentation

  • Added a detailed project overview with setup, installation, and usage instructions.

• New Features

  • Launched an interactive web application that lets users upload patient data.
  • Enhanced the processing workflow to generate AI-powered case summaries that highlight key patient conditions alongside clinical guideline recommendations.

[coderabbitai[bot]]

Walkthrough

This update introduces three new files to the Patient Case Summary Workflow project. The project documentation is now provided in a README that explains the application’s purpose, technologies, and setup instructions. A new Streamlit-based application (app.py) enables users to upload patient JSON files for asynchronous processing. Additionally, a comprehensive module (patient_case_summary.py) has been added which defines data models, implements functions to parse patient data from a FHIR bundle, creates condition bundles, and integrates clinical guideline matching via asynchronous workflows.

Changes

File(s)	Change Summary
patient_case_summary/README.md	Added documentation outlining the project purpose, technological stack (Synthea, LlamaIndex, LlamaCloud/VectorStoreIndex, Streamlit), installation and setup instructions, and usage guidance for the case summarization application.
patient_case_summary/app.py	Introduced a Streamlit application for processing patient JSON files. Implements asynchronous file handling with a new process_patient function that reads the file, processes patient data, and displays the summary result.
patient_case_summary/patient_case_summary.py	Implemented a complete workflow for generating patient case summaries. Added multiple classes and methods for parsing Synthea-generated FHIR Bundles, creating condition bundles, matching clinical guidelines, and generating summaries.

Sequence Diagram(s)

sequenceDiagram
    participant U as User
    participant S as Streamlit UI
    participant P as process_patient
    participant W as Workflow Module
    U->>S: Upload JSON file
    S->>P: Pass file path
    P->>W: Invoke parsing of patient data
    W->>W: Create condition bundles & match guidelines (async)
    W-->>P: Return case summary
    P->>S: Display patient summary

sequenceDiagram
    participant GRW as GuidelineRecommendationWorkflow
    participant PSP as parse_synthea_patient
    participant CCB as create_condition_bundles
    participant GCS as generate_case_summary
    GRW->>PSP: Extract patient data from FHIR bundle
    GRW->>CCB: Assemble condition bundles (awaited)
    GRW->>GCS: Generate final case summary with guidelines
    GCS-->>GRW: Output structured case summary

Poem

Oh, I’m a bunny with a coding delight,
Hoping through new files, from morning to night.
A README, an app, and workflows so bright,
Async hops in the code making everything right.
With guidelines and summaries, our logic takes flight,
🐇✨ Hoppy changes in our burrow of light!
Enjoy the spring of code in every byte!

[!TIP]

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