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Computer-based medical guidelines and protocols : a primer and current trends /

The book consists of two parts. The first part consists of 9 chapters which together offer a comprehensive overview of the most important medical and computer-science aspects of clinical guidelines and protocols. The second part of the book consists of chapters that are extended versions of selected...

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Detalles Bibliográficos
Clasificación:Libro Electrónico
Otros Autores: Teije, Annette ten, Miksch, Silvia, Lucas, Peter, 1955-
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Amsterdam ; Washington, DC : IOS Press, ©2008.
Colección:Studies in health technology and informatics ; v. 139.
Temas:
Acceso en línea:Texto completo
Tabla de Contenidos:
  • Part I.A Primer
  • 1. Guideline development
  • 2. Computer-interpretable guideline formalisms
  • 3. Form guidelines and careflows: modeling and supporting complex clinical processes
  • 4. Formal methods for verification of clinical practice guidelines
  • 5. The Temporal aspects of clinical guidelines
  • 6. Planning: supporting and optimizing clinical guidelines optimization
  • 7. Adaptation of clinical practice guidelines
  • 8. Visualization methods to support guideline-based care management
  • 9. Compliance with clinical practice guidelines
  • Part II. Current Trends
  • Compliance checking of cancer-screening careflows: an approach based on computational logic
  • Medical 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 system
  • Verification of medical guidelines of in KIV
  • Improving the execution of clinical guidelines and temporal data abstraction in high-frequency domains
  • Appling artificial intelligence to clinical guidelines: the GLARE approach.