Clinical decision support [recurso electrónico] : the road to broad adoption / edited by Rober A. Greenes.

Colaborador(es): Greenes, Robert A, 1940-Tipo de material: TextoTextoDetalles de publicación: Amsterdam ; Boston : Elsevier/AP, 2014Edición: Second editionDescripción: 1 online resource (xxxix, 887 pages) : illustrationsTipo de contenido: text Tipo de medio: computer Tipo de portador: online resourceISBN: 9780128005422; 0128005424; 9781306548267; 1306548268Tema(s): Diagnosis -- Decision making -- Data processing | Clinical medicine -- Decision making -- Data processing | Decision Support Systems, Clinical -- trends | Automation | Electronic Health Records | Organizational Innovation | HEALTH & FITNESS -- Diseases -- General | MEDICAL -- Clinical Medicine | MEDICAL -- Diseases | MEDICAL -- Evidence-Based Medicine | MEDICAL -- Internal Medicine | Clinical medicine -- Decision making -- Data processing | Diagnosis -- Decision making -- Data processingGénero/Forma: Electronic books.Formatos físicos adicionales: Print version:: Clinical decision support.Clasificación CDD: 616.07/5 Clasificación LoC:RC78.7.D35Recursos en línea: Libro electrónico ScienceDirectTexto
Contenidos:
Definition, Scope, and Challenges -- A Brief History of Clinical Decision Support: Technical, Social, Cultural, Economic, and Governmental Perspectives -- Features of Computer-Based Clinical Decision Support -- The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement -- Regenstrief Medical Informatics: Experiences with Clinical Decision Support Systems -- Patients, Doctors, and Information Technology Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare -- Computer-Based Approaches to Improving Healthcare Quality and Safety at LDS Hospital: Intermountain Healthcare Experience -- International Dimensions of Clinical Decision Support -- Current State of CDS Utilization -- Human-Intensive Techniques -- Generation of Knowledge for Clinical Decision Support: Statistical and Machine Learning Techniques -- Modernizing Evidence Synthesis for Evidence-Based Medicine -- Big Data and Population-Based Decision Support -- Clinical Decision Support for Personalized Medicine -- Decision Rules and Expressions -- Guidelines and Workflow Models -- Ontologies, Vocabularies and Data Models -- Grouped Knowledge Elements -- Infobuttons and Point of Care Access to Knowledge -- Formal Representations and Semantic Web Technologies -- The Role of Standards: What We Can Expect and When -- Cognitive Considerations for Health Information Technology -- Organizational and Cultural Change -- Managing the Investment in Clinical Decision Support -- A Clinical Decision Support Implementation Guide: Practical Considerations -- Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery -- Consumers and Clinical Decision Support -- A Clinical Knowledge Management Program -- Integration of Knowledge Resources into Applications to Enable CDS: Architectural Considerations -- Looking Ahead: The Road to Broad Adoption.
Resumen: 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.
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Existencias
Tipo de ítem Biblioteca actual Colección Signatura Copia número Estado Fecha de vencimiento Código de barras
Libro Electrónico Biblioteca Electrónica
Colección de Libros Electrónicos RC78.7 .D35 (Browse shelf(Abre debajo)) 1 No para préstamo 380022-2001

Print version record.

Includes bibliographical references and index.

Definition, Scope, and Challenges -- A Brief History of Clinical Decision Support: Technical, Social, Cultural, Economic, and Governmental Perspectives -- Features of Computer-Based Clinical Decision Support -- The Role of Quality Measurement and Reporting Feedback as a Driver for Care Improvement -- Regenstrief Medical Informatics: Experiences with Clinical Decision Support Systems -- Patients, Doctors, and Information Technology Clinical Decision Support at Brigham and Women's Hospital and Partners HealthCare -- Computer-Based Approaches to Improving Healthcare Quality and Safety at LDS Hospital: Intermountain Healthcare Experience -- International Dimensions of Clinical Decision Support -- Current State of CDS Utilization -- Human-Intensive Techniques -- Generation of Knowledge for Clinical Decision Support: Statistical and Machine Learning Techniques -- Modernizing Evidence Synthesis for Evidence-Based Medicine -- Big Data and Population-Based Decision Support -- Clinical Decision Support for Personalized Medicine -- Decision Rules and Expressions -- Guidelines and Workflow Models -- Ontologies, Vocabularies and Data Models -- Grouped Knowledge Elements -- Infobuttons and Point of Care Access to Knowledge -- Formal Representations and Semantic Web Technologies -- The Role of Standards: What We Can Expect and When -- Cognitive Considerations for Health Information Technology -- Organizational and Cultural Change -- Managing the Investment in Clinical Decision Support -- A Clinical Decision Support Implementation Guide: Practical Considerations -- Legal and Regulatory Issues Related to the Use of Clinical Software in Health Care Delivery -- Consumers and Clinical Decision Support -- A Clinical Knowledge Management Program -- Integration of Knowledge Resources into Applications to Enable CDS: Architectural Considerations -- Looking Ahead: The Road to Broad Adoption.

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.

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