Clinical decision support : the road ahead /

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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 c...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Greenes, Robert A., 1940-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Boston : Elsevier Academic Press, ©2007.
Temas:
Diagnosis > Decision making > Data processing.
Clinical medicine > Decision making > Data processing.
Decision Support Systems, Clinical > trends
Clinical Medicine > trends
Delivery of Health Care > trends
Medical Informatics Applications
Problem Solving
MEDICAL > Diagnostic Imaging.
MEDICAL > Diagnosis.
Diagnosesystem
Entscheidungsfindung
Besliskunde.
Geneeskunde.
Internet Resources.
Acceso en línea:Texto completo
Tabla de Contenidos:
  • 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.

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