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LinkedIn Learning

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

via LinkedIn Learning

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

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4.8 rating at LinkedIn Learning based on 1942 ratings

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