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100   $a20080618d2008      uy         0
101 0 $aeng
135   $aur|n|---|||||
181   $ctxt
182   $cc
183   $acr
200 00$aComputer-based medical guidelines and protocols $ea primer and current trends /$fedited by Annette ten Teije, Silvia Miksch and Peter Lucas
205   $a1st ed.
210   $aAmsterdam ;$aWashington, DC $cIOS Press$dc2008
215   $a1 online resource (300 p.)
225 1 $aStudies in health technology and informatics,$x0926-9630 ;$vv. 139
300   $aDescription based upon print version of record.
311   $a9781607503411 
311   $a1-58603-873-7 
320   $aIncludes bibliographical references and index.
327   $aTitle page; Preface; Contents; A Primer; Guideline Development; Computer-Interpretable Guideline Formalisms; From Guidelines to Careflows: Modelling and Supporting Complex Clinical Processes; Formal Methods for Verification of Clinical Practice Guidelines; The Temporal Aspects of Clinical Guidelines; Planning: Supporting and Optimizing Clinical Guidelines Execution; Adaptation of Clinical Practice Guidelines; Visualization Methods to Support Guideline-Based Care Management; Compliance with Clinical Practice Guidelines; Current Trends
327   $aCompliance Checking of Cancer-Screening CareFlows: An Approach Based on Computational LogicMedical Guidelines for the Patient: Introducing the Life Assistance Protocols; DeGeL: A Clinical-Guidelines Library and Automated Guideline-Support Tools; A Constraint-Based Approach to Medical Guidelines and Protocols; TSNet - A Distributed Architecture for Time Series Analysis; Clinical Guidelines and Care Pathways: A Case Study Applying PROforma Decision Support Technology to the Breast Cancer Care Pathway
327   $aLessons Learned from Adapting a Generic Narrative Diabetic-Foot Guideline to an Institutional Decision-Support SystemVerification of Medical Guidelines in KIV; Improving the Execution of Clinical Guidelines and Temporal Data Abstraction in High-Frequency Domains; Applying Artificial Intelligence to Clinical Guidelines: The GLARE Approach; Glossary; Author Index
330   $aPresents results from different branches of computer science (in particular, artificial intelligence), medical informatics and medicine to examine approaches to computer-based guideline modeling, verification and interpretation.
410  0$aStudies in health technology and informatics ;$vv. 139.
606   $aDecision making$xData processing$vCongresses
606   $aMedicine$xData processing$vCongresses
606   $aMedicine$xDecision making$vCongresses
615  0$aDecision making$xData processing
615  0$aMedicine$xData processing
615  0$aMedicine$xDecision making
676   $a610.285
701   $aLucas$b Peter$f1955-$01634506
701   $aMiksch$b Silvia$01634507
701   $aTeije$b Annette ten$01634508
801  0$bMiAaPQ
801  1$bMiAaPQ
801  2$bMiAaPQ
906   $aBOOK
912   $a9910817602003321
996   $aComputer-based medical guidelines and protocols$93974763
997   $aUNINA