Intro to Using EHR/EMR Data and Using AI to Support Clinical Decision-Making

Resources we'll use today

Google slides
colab notebook in python. Here is an overview on how to use colab features.

What we'll cover

Topics

Intro to EHR/EMR data

What is in EHR/EMR data?
What is it useful for?
What does it not have - Limitations?
Common issues and tips for using it

Examples - Supporting Clinical Decision-making using AI/ML

Early event prediction - code blue
Early screenings for diagnosis - diabetes
Disease progression - kidney disease
Patient retention in care

Building AI Systems to Support Clinical Decision-Making

Scoping (Scoping Guide
Data
Analytical Formulation
Baselines
Model Development
Model Selection
Bias and Fairness
Explainability/Interpretability
User Interfaces
Validation and Testing
Deployment
Monitoring

Hands-on exercises exploring EMR Data using Python and SQL

Exploring EHR data
Answering descriptive questions using EHR data

Programming Languages

Python with packages including pandas, sklearn, matplotlib, seaborn
SQL

Tools

Google colab for python and sql coding and visualization

Presentation Slides

Colab Notebook for Class and Homework Assignment

colab notebook in python

Sample Data Used

We'll be using a sample of 10000 patients from MIMIC III

Code to load, browse, and explore the data

Code repository to load and explore the data
github repo for more sample code
colab notebook exploring the mimic data that you can use code from

Additional projects using mimic data

MIMIC Extract