clinical-ai-ml

What problem does it solve?

This Skill provides tools and guidelines for engineers and data scientists to build, validate, and deploy machine learning models for clinical or operational healthcare use cases, ensuring accuracy, fairness, and safety.

Core Features & Use Cases

• Clinical AI/ML Building: Assist in constructing models for clinical or operational healthcare applications.
• Model Validation: Provide guidelines for validating models to ensure they are accurate and reliable.
• Deployment and Monitoring: Offer best practices for deploying models in production and monitoring their performance over time.
• Fairness and Safety: Focus on the importance of fairness and safety in healthcare AI models.
• Use Case: For example, build a model to predict 30-day all-cause readmissions in patients admitted to the hospital.

Quick Start

Run the clinical-ai-ml skill to get guidelines on building a model for predicting 30-day readmissions in Epic data.