Clinical Decision Support: The Road to Broad Adoption
Editat de Robert Greenesen Limba Engleză Hardback – 9 iun 2014
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.
- At least 40% updated, and seven new chapters since the previous edition, with the new and revised content focused on new opportunities and challenges for clinical decision support at point of care, given changes in science, technology, regulatory policy, and healthcare finance
- Informs healthcare leaders and planners, health IT system developers, healthcare IT organization leaders and staff, clinical informatics professionals and researchers, and clinicians with an interest in the role of technology in shaping healthcare of the future
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Specificații
ISBN-13: 9780123984760
ISBN-10: 0123984769
Pagini: 930
Ilustrații: 150 illustrations (50 in full color)
Dimensiuni: 191 x 235 x 43 mm
Greutate: 1.72 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
ISBN-10: 0123984769
Pagini: 930
Ilustrații: 150 illustrations (50 in full color)
Dimensiuni: 191 x 235 x 43 mm
Greutate: 1.72 kg
Ediția:2. Auflage.
Editura: ELSEVIER SCIENCE
Public țintă
Health care professionals, medical informatics researchers and students, policy makers, IT development managers, and various clinical investigatorsCuprins
SECTION I: COMPUTER-BASED CLINICAL DECISION SUPPORT: OVERVIEW, STATUS, AND CHALLENGES
1: Definition, Scope, and Challenges
2: A Brief History of Clinical Decision Support
3: Features of Computer-Based Clinical Decision Support
4: The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement
SECTION II: EXPERIENCE WITH CDS DEVELOPMENT AND ADOPTION: CASE STUDIES, NATIONAL INITIATIVES, AND LESSONS LEARNED
5: Regenstrief Medical Informatics
6: Patients, Doctors, and Information Technology Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare
7: Computer-Based Approaches to Improving Healthcare Quality and Safety at LDS Hospital
8: International Dimensions of Clinical Decision Support
9: Current State of CDS Utilization
SECTION III: SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT
10: Human-Intensive Techniques
11: Generation of Knowledge for Clinical Decision Support
12: Modernizing Evidence Synthesis for Evidence-Based Medicine
13: Big Data and Population-Based Decision Support
14: Clinical Decision Support for Personalized Medicine
SECTION IV: THE TECHNOLOGY OF CLINICAL DECISION SUPPORT
15: Decision Rules and Expressions
16: Guidelines and Workflow Models
17: Ontologies, Vocabularies, and Data Models
18: Grouped Knowledge Elements
19: Infobuttons and Point of Care Access to Knowledge
20: Formal Representations and Semantic Web Technologies
21: The Role of Standards
SECTION V: ADOPTION OF CLINICAL DECISION SUPPORT
22: Cognitive Considerations for Health Information Technology
23: Organizational and Cultural Change
24: Managing the Investment in Clinical Decision Support
25: A Clinical Decision Support Implementation Guide: Practical Considerations
26: Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery
27: Consumers and Clinical Decision Support
SECTION VI: THE JOURNEY TO WIDESPREAD USE OF CLINICAL DECISION SUPPORT
28: A Clinical Knowledge Management Program
29: Integration of Knowledge Resources into Applications to Enable CDS
30: Looking Ahead: The Road to Broad Adoption
1: Definition, Scope, and Challenges
2: A Brief History of Clinical Decision Support
3: Features of Computer-Based Clinical Decision Support
4: The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement
SECTION II: EXPERIENCE WITH CDS DEVELOPMENT AND ADOPTION: CASE STUDIES, NATIONAL INITIATIVES, AND LESSONS LEARNED
5: Regenstrief Medical Informatics
6: Patients, Doctors, and Information Technology Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare
7: Computer-Based Approaches to Improving Healthcare Quality and Safety at LDS Hospital
8: International Dimensions of Clinical Decision Support
9: Current State of CDS Utilization
SECTION III: SOURCES OF KNOWLEDGE FOR CLINICAL DECISION SUPPORT
10: Human-Intensive Techniques
11: Generation of Knowledge for Clinical Decision Support
12: Modernizing Evidence Synthesis for Evidence-Based Medicine
13: Big Data and Population-Based Decision Support
14: Clinical Decision Support for Personalized Medicine
SECTION IV: THE TECHNOLOGY OF CLINICAL DECISION SUPPORT
15: Decision Rules and Expressions
16: Guidelines and Workflow Models
17: Ontologies, Vocabularies, and Data Models
18: Grouped Knowledge Elements
19: Infobuttons and Point of Care Access to Knowledge
20: Formal Representations and Semantic Web Technologies
21: The Role of Standards
SECTION V: ADOPTION OF CLINICAL DECISION SUPPORT
22: Cognitive Considerations for Health Information Technology
23: Organizational and Cultural Change
24: Managing the Investment in Clinical Decision Support
25: A Clinical Decision Support Implementation Guide: Practical Considerations
26: Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery
27: Consumers and Clinical Decision Support
SECTION VI: THE JOURNEY TO WIDESPREAD USE OF CLINICAL DECISION SUPPORT
28: A Clinical Knowledge Management Program
29: Integration of Knowledge Resources into Applications to Enable CDS
30: Looking Ahead: The Road to Broad Adoption