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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 | |