Introduction
Healthcare and data science
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1. Connecting Data Science
Data science and COVID-19
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2. Researching Diseases and Populations
Shared history of health and data visualization
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Measuring health and disease
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Researching diseases in populations
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Genetic data and healthcare
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3. Researching Treatment and Outcomes
Diagnosing diseases
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Drug (re)discovery
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Predicting outcomes
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Treatments and ROI
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4. Patient Care
Selecting treatments and interventions
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Individualized treatment
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Robotic surgery
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3D printing and healthcare
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Virtual reality in healthcare
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Telemedicine
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5. Self-Care
Wearables and health monitoring
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Self-serve healthcare
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Patient experience
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6. Medical Administration and Insurance
Administrative burden for doctors and staff
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Blockchain and medical data
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Data science and health insurance
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7. Challenges
Limitations and barriers
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Data ethics in healthcare
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Preparing for an unknown future
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8. Continuing Your Data Science of Healthcare Learning Journey
Next steps and additional resources
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