Smart Clinical Copilot - Configuration Management

Smart Clinical Copilot - Configuration Management System

 Smart Clinical Copilot 

A modern, secure, and feature-rich configuration management system designed for healthcare applications. This system provides a comprehensive solution for managing application configurations with advanced features like encryption, validation, templates, and more.

The AI-Powered Clinical Wingman You Wish You Had in Med School.

🧠 What’s This About?

Smart Clinical Copilot isn’t just another decision support tool —

it’s a next-generation, explainable, evidence-based Clinical Decision Support System (CDSS) built for speed, precision, and transparency.

This is health tech reimagined — engineered to:

⚡ Integrate with FHIR servers in real-time

⚡ Run blazing-fast, multi-condition clinical rule matches

⚡ Deliver AI-powered, guideline-backed recommendations

⚡ Slash alert fatigue with context-aware, severity-based notifications

⚡ Learn from real clinician feedback to get sharper with every case

It’s what happens when you blend cutting-edge AI, precision medicine, and good design thinking into a single, unstoppable tool.

### Core Features

- **Configuration Editor**: Intuitive interface for managing configuration settings

- **Security**: Built-in encryption and access control mechanisms

- **Templates**: Reusable configuration templates with variable support

- **Validation**: Rule-based configuration validation

- **Import/Export**: Support for importing and exporting configurations

- **History**: Track changes and maintain configuration history

- **Statistics**: Monitor configuration usage and performance

### Advanced Features

- **Encryption**: Secure storage of sensitive configuration values

- **Access Control**: Role-based access control for configurations

- **Validation Rules**: Customizable validation rules for configuration values

- **Templates**: Variable-based templates for quick configuration deployment

- **Backup/Restore**: Automatic backup and restore functionality

- **Audit Logging**: Comprehensive audit trail of configuration changes

- **Performance Monitoring**: Real-time performance metrics and statistics

### Self-Healing System

- Automatic error detection and recovery

- Pattern-based error handling

- Service health monitoring

- Resource usage tracking

- Metrics collection and analysis

- Prometheus integration

- Redis-based metrics storage

### Frontend

- React with TypeScript

- Material-UI for the component library

- Monaco Editor for code editing

- Recharts for data visualization

### Backend

- Python with FastAPI

- Redis for caching

- Prometheus for metrics

- SQLAlchemy for database operations

## Getting Started

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### 6. Feedback & Analytics

- Track alert helpfulness

- Rule-specific feedback statistics

- Alert fatigue metrics

- Rule firing frequency analysis

- Override rate tracking

### 7. SMART on FHIR Launch and OAuth2 Support

- EHR integration capabilities

- Secure authentication and authorization

- Prometheus monitoring and metrics

A fast, personalized, and explainable clinical decision support system (CDSS) built on **InterSystems IRIS for Health Community Edition**. This system integrates **FHIR data ingestion**, **Trie-based rule matching**, and **LLM-powered natural language explanations** to deliver context-aware alerts and evidence-driven clinical reasoning.

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⚙️ Tech Stack

| Frontend     | Backend          | AI/LLM                | Data Layer                |

| :----------- | :--------------- | :-------------------- | :------------------------ |

| React + Vite | FastAPI (Python) | OpenAI API (Optional) | IRIS for Health (FHIR R4) |

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## How It Works

1️⃣ Pulls real-time patient data via FHIR API

2️⃣ Runs fast, multi-condition checks via a Trie-based Rule Matcher

3️⃣ Generates context-aware alerts with severity grading

4️⃣ Uses LLM reasoning to explain alerts with evidence and alternatives

5️⃣ Enables clinician feedback loops for live system optimization

6️⃣ Learns and improves over time through feedback-driven analytics

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## Security-First Design

🔒 OAuth2 Authentication (SMART on FHIR Ready)

🔒 CORS + Rate Limiting

🔒 Centralized Error Handling

🔒 Role-based Access Control (Coming Soon)

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### Prerequisites

- Node.js 16+

- Python 3.8+

- Redis

- PostgreSQL