Electronic Health Records - Winter 2024
Undergraduate and graduate course, DePaul University, School of Computing (SoC), 2023
Course Instructor.
Course Description
Electronic Healthcare Record Systems are the foundation for significantly improved healthcare services in the future. It not only serves as a repository for all patient records but has the potential to unify all healthcare information from a wide variety of sources. It has the potential to improve the processes within our healthcare systems. It is also a treasure trove of information, which, when mined, can potentially lead to significant discoveries on the treatment of disease. This comprehensive course provides an in-depth understanding of Electronic Health Records (EHR), a critical component in modern healthcare systems. Designed for healthcare professionals, IT specialists, and data analysts, the course covers a wide range of topics, from the basics of digital patient records to advanced data analytics using machine learning.
Learning Objectives
- Digital vs paper patient records
- Definition of EMR, EHR, PHR
- The need for a unified view of our records
- Key components of an EHR system
- The Patient’s perspective of EHR
- The Clinicians’ perspective of EHR
- Technology Issues of EHR
- Meaningful use of EHR
- The 21st Century “Cures” Act and how it will help.
- Understand the Schema of publicly available EHR databases (MIMIC-III)
- Recognize the International Classification of Diseases (ICD) use
- Extract and visualize descriptive statistics from clinical databases
- Understand and extract key clinical outcomes such as mortality and stay of length
- Train deep learning architectures such as Multi-layer perceptron, Convolutional Neural Networks, and Recurrent Neural Networks for classification
- Validate and compare different machine learning algorithms
- Preprocess Electronic Health Records and represent them as time-series data
- Imputation strategies and data encodings
Course Outcomes
By the end of the course, students will be equipped with a robust understanding of EHR systems, the ability to analyze health data using advanced machine learning techniques, and a comprehensive perspective on the impact of EHRs on both patients and healthcare professionals. This course prepares attendees to effectively implement, manage, and utilize EHR systems in a healthcare setting, ensuring compliance with modern healthcare regulations and maximizing the benefits of digital health records.
Course Format
Text Book
Students will not need to purchase a textbook. Everything will be provided.
Grading
The course grade is apportioned as follows:
- 20% for quizzes
- 50% for lab assignments and reports
- 30% for final project
Quiz
Based on the prior lab and the assignment, a short quiz will be given in class. Quizzes should be completed individually by the next lab meeting.
Class Schedule
| Week | Topic | Activity |
|---|---|---|
| Week 1 | The fundamental functions of an Electronic Healthcare Records system | |
| Week 2 | The impact of EHRs on today’s healthcare system | |
| Week 3 | Meaningful use and its impact on adopting EHRs | |
| Week 4 | How the new “Cures” Act will help interoperability of EHRs | |
| Week 5 | EHR and public databases | |
| Week 6 | MIMIC III database | |
| Week 7 | Recognition of the International Classification of Diseases (ICD) use | |
| Week 8 | International classification of disease system | |
| Week 9 | Concpets in MIMIC III and patients inclusion flowchart | |
| Week 10 |