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