| Description |
1 online resource (xv, 581 pages) : illustrations |
| Contents |
Introduction: Clinical decision support -- What it is and why important -- A brief history of the field -- Types of computer-aided decision making -- Case studies -- Regenstrief experience -- Brigham experience -- LDS HELP experience -- Lessons learned, summary -- Where are we now? -- Penetration -- Limitations -- New motivations and interest -- Where does the knowledge come from? -- Expert knowledge -- Data mining and predictive modeling -- Evidence-based medicine -- Problems in developing decision support applications -- Representation of the knowledge -- Integration with host environments -- Managing the knowledge: authoring and update -- Standards efforts -- Arden syntax -- Guidelines -- GELLO -- Vocabularies and data models -- Process/workflow models -- Issues -- Top-down vs. bottom-up approaches -- Legacy investments -- Differences among models and purposes -- Institutional KM challenges -- Getting a handle on the problem -- Content management and collaborative authoring/editing -- Common representation -- Common interfaces/transaction services -- Tools for knowledge management -- A timetable of opportunities -- Rules knowledge -- General expressions/calculation/logic -- Knowledge element groups -- Order sets -- Reports and data entry forms -- Prospects for dissemination and sharing -- Knowledge as a universal commodity not a proprietary resource -- Attempts to establish consortia -- What is needed to overcome barriers |
| Summary |
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 |
| Bibliography |
Includes bibliographical references and index |
| Notes |
Kursbok |
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English |
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Print version record |
| Subject |
Diagnosis -- Decision making -- Data processing
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Clinical medicine -- Decision making -- Data processing
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Problem solving.
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Decision Support Systems, Clinical -- trends
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Clinical Medicine -- trends
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Delivery of Health Care -- trends
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Medical Informatics Applications
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Problem Solving
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MEDICAL -- Diagnostic Imaging.
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MEDICAL -- Diagnosis.
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Clinical medicine -- Decision making -- Data processing
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Diagnosis -- Decision making -- Data processing
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Diagnosesystem
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Entscheidungsfindung
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Besliskunde.
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Geneeskunde.
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| Genre/Form |
dissertations.
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Academic theses
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Academic theses.
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Thèses et écrits académiques.
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| Form |
Electronic book
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| Author |
Greenes, Robert A., 1940-
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| ISBN |
9780080467696 |
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0080467695 |
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1280746882 |
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9781280746888 |
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9786610746880 |
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6610746885 |
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