دانلود کتاب Digital Health Entrepreneurship (Health Informatics)

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Contents
Chapter 1: Introduction to Digital Health Entrepreneurship
Overview and Importance of Digital Health Entrepreneurship
Recent Trends
Barriers and Possible Solutions
The New Era of Medicine
References
Chapter 2: Driving Outcomes-Digital Health Business Model Innovation
Driving Outcomes-Digital Health Business Model Innovation
Pandemic Challenges
Equitable Whole Person Care
A Digital Divide
Mental Health-The Next Pandemic
New Care Delivery Modalities
Telehealth[2, 3]
Telehealth Reimbursement
Federal Requirement Drivers-Key to Enhancing Digital Health
Venture Capital Investment in Digital Health 2020, 2021
Growing Direct to Consumer Market
Healthcare System Needs
Overcoming Staffing Shortages
Longstanding National Market Conditions
Healthcare Is Ripe for Disruption. It Is Hard, Not Impossible. Yet, Where Do We Start?
Healthcare-A Complex Adaptive System
Discovering Opportunity Within Healthcare Wicked Problems
Start with the Problem
Innovating Business Models
Gaining Marketplace Insight
Measuring Outcomes
Product Development Innovation
Customer Development Innovation
The Business Model Innovation Process Detailed
Capturing Value
The Lean Canvas
Details: Identifying Market Needs and Creating Solutions that Work
The Discovery Process of Customer Development
Customer Search Stages
Customer Development Process Participants?
Customer Search Stages Detailed
Customer Discovery
Customer Validation
Value Propositions
Customer Creation
Customer Sales/Scale
Customer Development Interviews
Customer Development Interview Questions Defined
Go to Market Strategies
Revenue-Value Based Reimbursement
Building Customer Value
Additional Business Model Considerations
References
Chapter 3: Innovating with Health System Partners: Value Propositions and Business Models
Health Care Innovation and Digital Health Opportunity
Making the Case for Digital Health Solutions: The Value Proposition
Understanding the Health Care Market
Hospital, Health Delivery System, and Health Care Practice Pains and Gains
From Innovation to Infrastructure: Why Business Models Matter
Final Thoughts
References
Chapter 4: Overcoming the Barriers to Dissemination and Implementation
The Age of the Electronic Medical Record
The Age of Big Data
The Age of Value-Based Care
The Age of Digital Health
Summary
Chapter 5: Financing Your Digital Health Venture
Sources of Funding for Digital Health Startups
Valuing Your Digital Health Startup
The Venture Capital Method
The Scorecard Method
Exit Strategies
Chapter 6: The Role of Artificial Intelligence in Digital Health
Artificial Intelligence: Basic Concepts
A Brief History of Artificial Intelligence and Its Role in Medicine
The Current Era of Artificial Intelligence and Its Impact on Medicine
Current Concepts of Artificial Intelligence in Medicine
Artificial Intelligence in Digital Medicine
References
Chapter 7: Getting Reimbursed for Digital Health
Disclaimer
Overview
Introduction to Medicare
Medicare Is the US Federal Health Insurance Program for
Commercial Payors
What Is Reimbursement?
Coding
CPT
ICD-10
Physician Coding
Hospital Coding
Coverage
Medicare Coverage
National Coverage Determination
Local Coverage Decision
MAC
Commercial Payors and Digital Health Coverage
Coverage Challenges to Digital Health
Payment
Medicare Payment
Physician Payment
Hospital Inpatient Payment
Hospital Outpatient Payment
Payment Challenges to Digital Health
Creating Your Strategy
Think About Reimbursement Early
Talk to the Payors
Clinical Trials
Code Selection
Obtaining Coverage for Your Service
Payment
Conclusion
Chapter 8: Legal Environment of Digital Health: Rules, Regulations and Laws that Govern Digital Health Business Design and Ownership
Introduction
Insurance
Legal Structures
Business Entities (Corporations and LLCs): The First Step
Corporations Vs. LLCs
C Corporations
LLCs
Protecting Business Assets from inside Creditors
Protecting Business Assets from Outside Creditors
Is There an Alternative Ownership Structure?
The Role of Estate Planning
Importance of Succession Planning
Conclusion
Chapter 9: Digital Health Intrapreneurship
Definition of an Intrapreneur
Introduction
Life Cycle of a Company
Healthcare Industry’s Challenges
Digital Health
Innovation as a Strategy
How to Do Innovation
A Good Innovation Process
The Purpose of an Intrapreneurship Program
Structure of an Intrapreneurship Program
Creating Space for Innovation
Skills Needed for a Digital Health Intrapreneur
Working with Legacy Systems
Future of Digital Health
Conclusion
References
Chapter 10: Digital Health Trends
Strategic Objectives Analysis
Business Model Trends
Business Process Trends
The Future of the Work Environment
Conclusion
References
Chapter 11: Cybersecurity
Protecting What Matters Most
Healthcare Is Critical
Privacy and Security Regulation
Healthcare Is Under Attack
Principles of Healthcare Cybersecurity
Confidentiality
Integrity
Availability
Expanded Threat Surface
Digital Health Interoperability
Medical and Other Healthcare IoT
Concerns about the Security of Medical Devices
Reducing Medical Device Risks
Medical Wearables
Mobile Health (m-Health)
Precision Medicine
AI’s Insatiable Need for Data
Securing AI
Offensive AI and Defensive AI
Cybersecurity as an Enabler of New Medical Systems and Services
Conclusions
References
Chapter 12: Patent Law at the Collision Point of Artificial Intelligence and Life Science Innovations
An Overview of Artificial Intelligence (AI) Technology
The Application of Artificial Intelligence (AI) Technology in Life Science Innovation
Current Patent Laws Relating to AI
Patent Law Overview
Issues with Inventorship and Patentability of AI
Inventorship of “AI-Assisted” Inventions Versus Inventions by “AI-Inventors”
Patentability Requirement of Non-Obviousness and the Applicable AI-PHOSITA Standard
Patentability Requirement of Adequate Written Description and Enablement
The IP5 Forum
IP5 AI Policies
AI Policies in Other Countries
Leading Expert’s Proposed Changes to Inventorship, Non-Obviousness and Written Description & Enablement Requirements
Inventorship
Non-Obviousness
Written Description & Enablement
The Future Directions of AI in Life Sciences Innovations
References
Chapter 13: Business Exit Strategy
Reference
Chapter 14: The Why and How of Entrepreneurship Education in Healthcare Training
Beginning the Discussion: Defining Healthcare Entrepreneurship
The Argument for Entrepreneurship Education in Healthcare Training
The Darkside of Entrepreneurship and Entrepreneurship Education
Broad Trends in Healthcare Training and their Impact on Healthcare Training
Didactic Education: How Programs Are Teaching and How Students Are Learning
Clinical Training: The Evolution of the Pre-Clinical and Clinical Trainee
Student Wellness and Equity: Appropriate Trainee Treatment Improves Public Health
The Lay of the Land: A Snapshot of Entrepreneurship Education in Healthcare Training
Entrepreneurship Education in STEM Training
Entrepreneurship Education in Pharmacy Training
Entrepreneurship Education in Nursing Training
Entrepreneurship Education in Public Health Training
Entrepreneurship Education in Dentistry Training
Entrepreneurship Education in Occupational Therapy Training
Entrepreneurship Education in Physician Training
A Note on Entrepreneurship Education in Other Healthcare Training Programs
Summary and Synthesis
Appendix
References
Chapter 15: Pediatric Digital Health Entrepreneurship
Current Pediatric Health Workforce Challenges
Current and Projected Workforce Shortages
Increasing Case Complexity and Referral Volume
COVID-19 and the Worsening Mental and Behavioral Health Crisis
Persistent Bias and Inequities in Childhood Healthcare Access and Outcomes
Digital Health Innovations: Potential Solutions to Key Pediatric Healthcare Challenges
Streamlining and Scaling Care, Augmenting Diagnostics and Treatment, and Improving Access
Spotlight on Pediatric Innovation
The Current State of Pediatric Innovation: Roadblocks and Proposed Solutions
Roadblocks to Pediatric Innovation
Kickstarting Pediatric Digital Health Innovation: Strategies and Stimulants
Conclusion
References
Chapter 16: Artificial Intelligence and Ethics
What Are Ethics?
What Is Artificial Intelligence?
Elements of AI Are Architecture, Algorithm, and Data
What Is Not AI?
What Are AI Ethics?
Global Community and Ethical AI
United Nations Perspective on Ethical Concerns in AI
World Health Organization’s Perspective on Ethical Concerns in AI
Practitioners View on AI and Ethics
The Future of AI with Ethics
Conclusion
Appendix
Growing List of AI Regulations around World
References
Index