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

via LinkedIn Learning

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Overview

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

Syllabus

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

Taught by

Barton Poulson

Reviews

4.8 rating at LinkedIn Learning based on 1942 ratings

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