Computer-based medical guidelines and protocols : a primer and current trends / / edited by Annette ten Teije, Silvia Miksch and Peter Lucas

• Record Nr.: UNINA9910817602003321
• Pubbl/distr/stampa: Amsterdam ; ; Washington, DC, : IOS Press, c2008
• ISBN: 600-00-0645-4; 1-281-78627-6; 1-4356-7810-9; 1-60750-341-7
• Edizione: [1st ed.]
• Descrizione fisica: 1 online resource (300 p.)
• Collana: Studies in health technology and informatics, , 0926-9630 ; ; v. 139
• Altri autori (Persone): LucasPeter <1955->; MikschSilvia; TeijeAnnette ten
• Disciplina: 610.285
• Soggetti: Decision making - Data processing; Medicine - Data processing; Medicine - Decision making
• Lingua di pubblicazione: Inglese
• Formato: Materiale a stampa
• Livello bibliografico: Monografia
• Note generali: Description based upon print version of record.
• Nota di bibliografia: Includes bibliographical references and index.
• Nota di contenuto: Title 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; Compliance 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; Lessons 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
• Sommario/riassunto: Presents 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.