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...
Clasificación: | Libro Electrónico |
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Otros Autores: | , , |
Formato: | Electrónico eBook |
Idioma: | Inglés |
Publicado: |
Amsterdam ; Washington, DC :
IOS Press,
©2008.
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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.