Clinical Decision Support The Road to Broad Adoption 2nd Edition by Robert A Greenes – Ebook PDF Instant Download/Delivery: 0123984769, 9780123984760
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Product details:
ISBN 10: 0123984769
ISBN 13: 9780123984760
Author: Robert A Greenes
With at least 40% new or updated content since the last edition, Clinical Decision Support, 2nd Edition explores the crucial new motivating factors poised to accelerate Clinical Decision Support (CDS) adoption. This book is mostly focused on the US perspective because of initiatives driving EHR adoption, the articulation of ‘meaningful use’, and new policy attention in process including the Office of the National Coordinator for Health Information Technology (ONC) and the Center for Medicare and Medicaid Services (CMS). A few chapters focus on the broader international perspective. Clinical Decision Support, 2nd Edition explores the technology, sources of knowledge, evolution of successful forms of CDS, and organizational and policy perspectives surrounding CDS.
Exploring a roadmap for CDS, with all its efficacy benefits including reduced errors, improved quality, and cost savings, as well as the still substantial roadblocks needed to be overcome by policy-makers, clinicians, and clinical informatics experts, the field is poised anew on the brink of broad adoption. Clinical Decision Support, 2nd Edition provides an updated and pragmatic view of the methodological processes and implementation considerations. This book also considers advanced technologies and architectures, standards, and cooperative activities needed on a societal basis for truly large-scale adoption
Clinical Decision Support The Road to Broad Adoption 2nd Table of contents:
1: Introduction to Clinical Decision Support
1.1 Defining Clinical Decision Support
1.2 The Evolution of CDS in Healthcare
1.3 Importance of CDS for Patient Safety and Quality of Care
1.4 The Role of Technology in Clinical Decision Making
1.5 Overview of CDS Systems: Types and Components
1.6 Barriers to the Adoption of CDS
2: The Technological Foundations of Clinical Decision Support
2.1 Key Technologies Behind CDS Systems
2.2 Electronic Health Records (EHR) and Their Role in CDS
2.3 Artificial Intelligence (AI) and Machine Learning in CDS
2.4 Natural Language Processing and Data Mining for Clinical Decision Making
2.5 Integrating CDS into Existing Healthcare Infrastructure
2.6 The Interoperability Challenge in Healthcare IT
3: The Impact of CDS on Healthcare Outcomes
3.1 Improving Diagnosis and Treatment Decisions
3.2 Reducing Medication Errors and Adverse Drug Events
3.3 Enhancing Preventive Care and Screening
3.4 CDS for Chronic Disease Management
3.5 Evidence-Based Medicine and CDS Integration
3.6 Measuring the Effectiveness of CDS: Metrics and Outcomes
4: Design Principles for Effective CDS Systems
4.1 User-Centered Design in CDS
4.2 Ensuring the Relevance and Timeliness of Recommendations
4.3 Reducing Alert Fatigue and Cognitive Overload
4.4 Customizing CDS to Fit Clinical Workflows
4.5 Usability Testing and Validation of CDS Systems
4.6 Ensuring Data Quality and Accuracy for Decision Support
5: Regulatory and Ethical Considerations
5.1 Regulatory Frameworks for CDS
5.2 HIPAA Compliance and Data Privacy Concerns
5.3 Ethical Dilemmas in CDS Implementation
5.4 The Role of Clinical Guidelines in CDS Recommendations
5.5 Patient Autonomy and the Use of CDS in Shared Decision Making
5.6 Legal Implications: Liability and Responsibility in CDS Use
6: Adoption and Implementation Challenges
6.1 Barriers to CDS Adoption in Healthcare Settings
6.2 Overcoming Resistance to Technology in Clinical Practice
6.3 Strategies for Integrating CDS into Clinical Workflows
6.4 Organizational and Cultural Challenges in CDS Adoption
6.5 Case Studies of Successful CDS Implementations
6.6 Addressing the Needs of Diverse Healthcare Environments
7: CDS and the Future of Healthcare
7.1 The Role of CDS in the Evolution of Personalized Medicine
7.2 CDS and Population Health Management
7.3 The Future of AI and Machine Learning in Decision Support
7.4 Predictive Analytics and Preventive Care in CDS
7.5 The Impact of Big Data on Clinical Decision Making
7.6 Emerging Trends: Mobile Health (mHealth) and CDS
8: Evaluating the Effectiveness and ROI of CDS
8.1 Methods for Evaluating CDS Impact on Healthcare Outcomes
8.2 Cost-Benefit Analysis of CDS Implementation
8.3 Measuring Provider Satisfaction and Engagement
8.4 Patient Perspectives: Satisfaction and Trust in CDS Systems
8.5 Continuous Improvement and Iterative Design in CDS Systems
8.6 The Role of Feedback and Monitoring in CDS Effectiveness
9: Policy and Global Perspectives
9.1 National Health Policies and Their Impact on CDS Adoption
9.2 CDS in Global Healthcare Systems: Opportunities and Challenges
9.3 The Role of International Standards and Frameworks for CDS
9.4 Global Case Studies of CDS Implementation
9.5 Policy Recommendations for Promoting CDS in Healthcare
9.6 The Road Ahead: Aligning Healthcare Policy with CDS Innovations
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