Healthcare Information Technology for Cardiovascular Medicine: Telemedicine & Digital Health (Health Informatics)

Contents
Chapter 1: Telemedicine for Cardiovascular Disease Care
	1.1 Cardiovascular Healthcare Technology
	1.2 Impact of the COVID-19 Pandemic
	1.3 Ensuring Equitable Care
	1.4 Quality Measures and Cost-Effectiveness in Telecardiology
	1.5 Conclusion
	1.6 Telemedicine Advantages
	1.7 Data and Analytics Enable Telemedicine
	References
		Further Reading
Chapter 2: Digital Health Solutions and Wearable Devices
	2.1 Clinicians as Digital Health Champions
		2.1.1 Evaluating a Digital Solution
	2.2 Successfully Implementing a New Digital Health Solution
	2.3 Wearable Devices
		2.3.1 Wearables: Considerations for Designing Wearables Strategy Across the Patient Journey
		2.3.2 New Technologies: Integrating and Measuring to Deliver Value
			2.3.2.1 Value Pillar 1: Improving Clinician Experience
			2.3.2.2 Value Pillar 2: Better Outcomes
			2.3.2.3 Value Pillar 3: Lower Costs
			2.3.2.4 Value Pillar 4: Improved Patient Experience
	2.4 Conclusion
	References
Chapter 3: Remote Patient Monitoring: Delegation of Responsibility
	3.1 Introduction
	3.2 Data and Context
		3.2.1 Research Context
		3.2.2 Clinical Context
			3.2.2.1 Data Solicited by Providers
			3.2.2.2 Data Not Solicited by Providers
	3.3 Wearable Devices and Remote Patient Monitoring in Cardiology
	3.4 Patient Driven Tools
	3.5 What Harm Comes from Inaccurate Information?
	3.6 Guidance for RPM Workflow Development and Implementation
	3.7 Conclusions
	References
Chapter 4: Building the Digital Heart Center
	4.1 Introduction
	4.2 Defining the Problem
	4.3 Understanding the Technology
		4.3.1 Data Collection Tools
	4.4 Implementation
		4.4.1 Regulatory Considerations
		4.4.2 Monitoring and Evaluation
		4.4.3 Iterations
		4.4.4 Gaining Support for Widespread Adoption
	4.5 Summary
	References
Chapter 5: Financial Value for Cardiovascular Telemedicine
	5.1 Defining Financial Value in Telemedicine
	5.2 Financial Impact of Telemedicine Based on Location of Care
		5.2.1 Hospital-Based Care
		5.2.2 Outpatient Care
		5.2.3 TeleCardiology in the Home
	5.3 Stakeholder Based View of Cardiovascular Telemedicine Care
		5.3.1 Stakeholders: Cardiologists
		5.3.2 Stakeholders: Payers
		5.3.3 Stakeholders: Patients
	5.4 Summary
	References
Chapter 6: Telemedicine as a Cardiovascular Center Growth Strategy: Patient Experience, Provider Satisfaction and Improved Access
	6.1 Patient Experience
	6.2 Improved Access
	6.3 Provider Satisfaction
	6.4 Digital Health Implementation
	6.5 Guidelines and Workflows to Support Virtual Clinical Care
	6.6 Quality Measures in Virtual Care
	6.7 Conclusion
	Appendix: STAT User Experience Questionnaire
	References
Chapter 7: The Digital Transformation of Cardiovascular Clinic Workflows
	7.1 Introduction
	7.2 Digital Transformation
	7.3 Appointment Scheduling
	7.4 Preparing for the Visit
	7.5 Conducting the Visit
	7.6 After the Visit
	7.7 Conclusion
	References
Chapter 8: Optimizing Telehealth for Special Populations and Closing the Digital Divide: Addressing Social Determinants of Health in Virtual Care
	8.1 Elderly Populations
	8.2 Disabilities
	8.3 Palliative Care
	8.4 Language Barriers
	8.5 Health Literacy Barriers
	8.6 Social Determinants of Health
	References
Chapter 9: Education in Virtual Care Delivery: Clinician Education and Digital Health Literacy
	9.1 A Brief Exploration of the Transformative Forces Affecting the Delivery of Healthcare
		9.1.1 Economic Globalization
		9.1.2 Cost of Health Care
		9.1.3 Societal and Provider Demographics
		9.1.4 Shifting Reimbursement Models
		9.1.5 Social Determinants of Health
		9.1.6 Rapidity of Technology Advancement
		9.1.7 Summary of Driving Forces
	9.2 Education and Training: Requirements for Virtual Care Delivery
		9.2.1 What Training Will Virtualist Care Clinicians Require?
		9.2.2 Elements of Virtual Health Care Training: The Core Curriculum
	9.3 Educating the Virtual Educator
	9.4 Educating the Patient: Digital Health Literacy
		9.4.1 Health Literacy
	9.5 Summary
	References
Chapter 10: Trust in Artificial Intelligence: Clinicians Are Essential
	10.1 Introduction
	10.2 Overview of Artificial Intelligence
		10.2.1 Expert Systems
		10.2.2 Machine Learning (ML)-Driven Systems
		10.2.3 Hybrid Systems
	10.3 Machine Learning in Healthcare
		10.3.1 Clinical Data Interpretation Powers AI
			10.3.1.1 Decision Support
			10.3.1.2 Exploration
			10.3.1.3 Discovery
	10.4 Trustworthiness Mechanisms
		10.4.1 Predictability
		10.4.2 Procedural Transparency
		10.4.3 Algorithmic Transparency
		10.4.4 Robustness
	10.5 Artificial Intelligence Alongside Healthcare Practitioners
		10.5.1 Input Engineering
		10.5.2 Model Development
		10.5.3 Clinical Deployment
		10.5.4 Model Correction
	10.6 Conclusion
	References
Correction to: Digital Health Solutions and Wearable Devices
	Corrections to: Chapter 2 in A. B. Bhatt (ed.), Healthcare Information Technology for Cardiovascular Medicine, Health Informatics, https://doi.org/10.1007/978-3-030-81030-6_2
Index