Clinical Decision Support The Road Ahead

ISBN-10: 0123693772
ISBN-13: 9780123693778
Edition: 2007
List price: $125.00
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Description: This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into  More...

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Book details

List price: $125.00
Copyright year: 2007
Publisher: Elsevier Science & Technology Books
Publication date: 11/30/2006
Binding: Hardcover
Pages: 544
Size: 7.50" wide x 10.25" long x 1.50" tall
Weight: 3.234
Language: English

This book examines the nature of medical knowledge, how it is obtained, and how it can be used for decision support. It provides complete coverage of computational approaches to clinical decision-making. Chapters discuss data integration into healthcare information systems and delivery to point of care for providers, as well as facilitation of direct to consumer access. A case study section highlights critical lessons learned, while another portion of the work examines biostatistical methods including data mining, predictive modelling, and analysis. This book additionally addresses organizational, technical, and business challenges in order to successfully implement a computer-aided decision-making support system in healthcare delivery.

Contributors
Preface
Computer-Based Clinical Decision Support: Concepts and Origins
Definition, Scope, and Challenges
A Brief History of Clinical Decision Support: Technical, Social, Cultural, Economic, and Governmental Perspectives
Features of Computer-Based Clinical Decision Support
Case Studies and Current Status
Regenstrief Medical Informatics: Experiences with Clinical Decision Support Systems
Patients, Doctors, and Information Technology: Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare
Case Studies in Clinical Decision Support: LDS Hospital Experience
Penetration and Availability of Clinical Decision Support in Commercial Systems
Lessons Learned
Generation and Formulation of Knowledge
Human-Intensive Techniques
Generation of Knowledge for Clinical Decision Support: Statistical and Machine Learning Techniques
Evidence-Based Medicine and Meta-Analysis: Getting More Out of the Literature
Representing the Knowledge: Standardization Efforts
Decision Rules and Expressions
Guidelines and Workflow Models
Ontologies, Vocabularies, and Data Models
Grouped Knowledge Elements
Infobuttons and Point of Care Access to Knowledge
The Role of Standards: What We Can Expect and When
Organizational, Business, and Social Challenges
Organizational and Cultural Change Considerations
Managing the Investment in Clinical Decision Support
Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery
Knowledge Management Approaches
Knowledge Management Infrastructure: Evolution at Partners Healthcare System
The Clinical Knowledge Management Infrastructure of Intermountain Healthcare
Integration of Knowledge Resources into Applications to Enable Clinical Decision Support: Architectural Considerations
The Road Ahead
A Proposed Strategy for Overcoming Inertia
Index

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