The Data Science of Healthcare, Medicine, and Public Health, with Barton Poulson

Learn how the dramatically increased quantities of data—and the methods for analyzing this data—are changing the theory and practice of healthcare.

Introduction

• Healthcare and data science

1. Connecting Data Science

• Data science and COVID-19

2. Researching Diseases and Populations

• Shared history of health and data visualization
• Measuring health and disease
• Researching diseases in populations
• Genetic data and healthcare

3. Researching Treatment and Outcomes

• Diagnosing diseases
• Drug (re)discovery
• Predicting outcomes
• Treatments and ROI

4. Patient Care

• Selecting treatments and interventions
• Individualized treatment
• Robotic surgery
• 3D printing and healthcare
• Virtual reality in healthcare
• Telemedicine

5. Self-Care

• Wearables and health monitoring
• Self-serve healthcare
• Patient experience

6. Medical Administration and Insurance

• Administrative burden for doctors and staff
• Blockchain and medical data
• Data science and health insurance

7. Challenges

• Limitations and barriers
• Data ethics in healthcare
• Preparing for an unknown future

8. Continuing Your Data Science of Healthcare Learning Journey

• Next steps and additional resources