Lesson 1
Applying AI to EHR Data Introduction
This lesson will provide you with an Introduction to the EHR Data course outline, content, as well as introduce you to your instructor.
Applying AI to EHR Data
Course
With the transition to electronic health records (EHR) over the last decade, the amount of EHR data has increased exponentially, providing an incredible opportunity to unlock this data with AI to benefit the healthcare system. Learn the fundamental skills of working with EHR data in order to build and evaluate compliant, interpretable machine learning models that account for bias and uncertainty using cutting-edge libraries and tools including Tensorflow Probability, Aequitas, and Shapley. Understand the implications of key data privacy and security standards in healthcare. Apply industry code sets, transform datasets at different EHR data levels, and use Tensorflow to engineer features.
With the transition to electronic health records (EHR) over the last decade, the amount of EHR data has increased exponentially, providing an incredible opportunity to unlock this data with AI to benefit the healthcare system. Learn the fundamental skills of working with EHR data in order to build and evaluate compliant, interpretable machine learning models that account for bias and uncertainty using cutting-edge libraries and tools including Tensorflow Probability, Aequitas, and Shapley. Understand the implications of key data privacy and security standards in healthcare. Apply industry code sets, transform datasets at different EHR data levels, and use Tensorflow to engineer features.
Skills
Medical code sets
Shapley value
Feature engineering
TensorFlow
Advanced
3 weeks
Real-world Projects
Completion Certificate
Last Updated January 12, 2022
Data cleaning
Machine learning frameworks in Python
Course Lessons
Lesson 2
EHR Data Security and Analysis
In this lesson, you will learn about the importance of data security and the different standards that apply to EHR, as well as analyzing EHR data.
Lesson 3
EHR Code Sets
In this lesson you will learn how to work with different EHR codes and how to map them properly to records.
Lesson 4
EHR Transformations & Feature Engineering
In this lesson, you'll gain skills in feature engineering and transformation of EHR.
Lesson 5
Building, Evaluating and Interpreting Models
In this final lesson, you'll be putting all of your skills together to build, evaluate and interpret ML models for Bias and Uncertainty.
Lesson 6 • Project
Project: Patient Selection for Diabetes Drug Testing
In this project students will use what they learn in the classroom to apply AI in healthcare for patient data.
Taught By The Best
Michael DAndrea
Principal Data Scientist at Genentech
Michael is on the Pharma Development Informatics team at Genentech (part of the Roche Group), where he works on improving clinical trials and developing safer, personalized treatments with clinical and EHR data. Previously, he was a Lead Data Scientist on the AI team at McKesson's Change Healthcare.
Taught By The Best
Michael DAndrea
Principal Data Scientist at Genentech
Michael is on the Pharma Development Informatics team at Genentech (part of the Roche Group), where he works on improving clinical trials and developing safer, personalized treatments with clinical and EHR data. Previously, he was a Lead Data Scientist on the AI team at McKesson's Change Healthcare.
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Applying AI to EHR Data