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Book Description

AI is poised to transform every aspect of healthcare, including the way we manage personal health from customer experience and clinical care to healthcare cost reductions. This practical book is one of the first to describe present and future use cases where AI can help solve pernicious healthcare problems.

Kerrie Holley and Siupo Becker provide guidance to help informatics and healthcare leadership create AI strategy and implementation plans for healthcare. With this book, business stakeholders and practitioners will be able to build knowledge, a road map, and the confidence to support AI in their organizations—without getting into the weeds of algorithms or open source frameworks.

Cowritten by an AI technologist and a medical doctor who leverages AI to solve healthcare’s most difficult challenges, this book covers:

  • The myths and realities of AI, now and in the future
  • Human-centered AI: what it is and how to make it possible
  • How to use various AI technologies to go beyond precision medicine
  • Delivering patient care using the IoT and ambient computing with AI
  • How AI can help reduce waste in healthcare
  • AI strategy and identifying high-priority AI applications

Table of Contents

  1. Introduction
    1. AI-First
    2. Summary
  2. 1. Myths and Realities of AI
    1. AI Origins and Definition
      1. AI and Machine Learning
      2. AI Diffusion
      3. AI a General Purpose Technology
    2. AI Healthcare Myths
      1. AI Will Cure Disease
      2. AI Will Replace Doctors
      3. AI Will Fix the “Healthcare Problem”
      4. AI Will Decrease Healthcare Costs
    3. AI Myths
      1. AI as an Existential Threat
      2. AI is a Big Fat Lie
      3. AI Over Promises and Under Delivers
      4. Conversational AI
      5. AI Overlord
    4. AI Technology Myths
      1. AI Algorithms are Bias
      2. AI Sees, Hears and Thinks
      3. AI Diagnoses Diseases Better than Doctors
      4. AI Does Healthcare
      5. AI Systems Learn from Data
      6. AI is a Black-Box
      7. AI Modeled after the Brain
    5. AI First Healthcare
  3. 2. Human-Centered AI
    1. Toward Human-Centered AI
      1. Centaur Health
      2. Human-Centered AI
    2. Intersection of AI and Humans
      1. AI and Human Socio-Cultural Values
      2. AI Understanding Humans
      3. Humans Understanding AI
    3. Human Ethics and AI
      1. Human-Centric Approach
      2. Making Human-Centered AI Work
    4. Summary
  4. 3. Monitoring + AI = Rx for Personal Health
    1. Prescription (Rx) for Personal Health
      1. Three Realms Influencing Healthcare
      2. Ambient Computing and Healthcare
    2. Continuous Monitoring using AI
      1. Beeps, Chimes, Dings, and Dongs
      2. Health Continuum
    3. Application of IoT and AI to Medical Care
      1. AI and At-Home Health Monitoring
      2. Health Determinants and Big Data
    4. Summary
  5. 4. Digitization and AI
    1. Digitization of Healthcare
      1. Path A: Creating Digital Operations and Processes
      2. Path B: Building New Capabilities
      3. Path C: Transforming Business Processes
    2. Digital Healthcare
      1. AI Applied to Digital Healthcare
      2. AI, Digitization, and Corporate Healthcare Strategy
    3. Preventive and Chronic Disease Management
      1. Digital AI and Prevention
      2. Digital AI and Chronic Disease
      3. Digital AI and Mental Health
      4. Digital AI and Telemedicine
    4. Medication Management and Digital AI
      1. Medication Adherence
    5. AI and Digitization Applied to Administrative Tasks
    6. Summary
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