Clinical Practice Guidelines Formalization for Personalized Medicine

Nassim Douali and Marie-Christine Jaulent
Additional contact information
Nassim Douali: INSERM U872 Eq 20 & Medical School, Pierre and Marie Curie University, Paris, France
Marie-Christine Jaulent: INSERM U872 Eq 20 & Medical School, Pierre and Marie Curie University, Paris, France

International Journal of Applied Evolutionary Computation (IJAEC), 2013, vol. 4, issue 3, 26-33

Abstract: Clinical guidelines are important means to improve quality of health care while limiting cost and supporting the medical staff. They are written as free text with tables and figures. Transforming them into a formal, computer-processable representation is a difficult task requiring both computer scientist skills and medical knowledge. In this paper the authors describe a CDSS designed to assist physicians for personalized care, and methodology for integration in the clinical workflow. A reasoning method for interacting heterogeneous knowledge and data is a necessity in the context of personalized medicine to achieve its potential and improve the quality, safety and efficiency of healthcare.

Date: 2013
References: Add references at CitEc
Citations:

Downloads: (external link)
http://services.igi-global.com/resolvedoi/resolve. ... 4018/jaec.2013070103 (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:igg:jaec00:v:4:y:2013:i:3:p:26-33

Access Statistics for this article

International Journal of Applied Evolutionary Computation (IJAEC) is currently edited by Sukhpal Singh Gill

More articles in International Journal of Applied Evolutionary Computation (IJAEC) from IGI Global
Bibliographic data for series maintained by Journal Editor ().