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Clinical decision support[electronic resource] :the road ahead /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	616.07/5
書名/作者:	Clinical decision support : the road ahead // edited by Robert A. Greenes.
其他作者:	Greenes, Robert A.,
出版者:	Amsterdam ; : Elsevier Academic Press,, c2007.
面頁冊數:	xv, 581 p. : : ill.
標題:	Diagnosis - Decision making
標題:	Clinical medicine - Decision making
標題:	Decision Support Systems, Clinical - trends.
標題:	Clinical Medicine - trends.
標題:	Delivery of Health Care - trends.
標題:	Medical Informatics Applications.
標題:	Problem Solving.
標題:	Besliskunde.
標題:	Geneeskunde.
ISBN:	9780123693778
ISBN:	0123693772
書目註:	Includes bibliographical references and index.
內容註:	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.
摘要、提要註:	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.
電子資源:	An electronic book accessible through the World Wide Web; click for information

Clinical decision support[electronic resource] :the road ahead /
Clinical decision supportthe road ahead /[electronic resource] :edited by Robert A. Greenes. - Amsterdam ;Elsevier Academic Press,c2007. - xv, 581 p. :ill.

Includes bibliographical references and index.

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.

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.

Electronic reproduction.
Amsterdam :
Elsevier Science & Technology,
2007.

Mode of access: World Wide Web.

ISBN: 9780123693778

Source: 112993:113081Elsevier Science & Technologyhttp://www.sciencedirect.comSubjects--Topical Terms:

431110
Diagnosis
--Decision makingIndex Terms--Genre/Form:

336502
Electronic books.

LC Class. No.: RC78.7.D35 / C553 2007eb

Dewey Class. No.: 616.07/5

National Library of Medicine Call No.: 2007 B-361

Clinical decision support[electronic resource] :the road ahead /
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520 $a 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.
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