Abstract | ||
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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. |
Year | DOI | Venue |
---|---|---|
2013 | 10.4018/jaec.2013070103 | IJAEC |
Keywords | Field | DocType |
personalized medicine,medical staff,clinical practice guidelines,computer-processable representation,health care,clinical guideline,computer scientist skill,personalized care,clinical workflow,heterogeneous knowledge,medical knowledge,semantic web,artificial intelligence,decision support system | Health care,Computer science,Clinical Practice,Decision support system,Knowledge management,Semantic Web,Clinical decision support system,Workflow,Limiting,Personalized medicine | Journal |
Volume | Issue | Citations |
4 | 3 | 1 |
PageRank | References | Authors |
0.37 | 3 | 2 |
Name | Order | Citations | PageRank |
---|---|---|---|
Nassim Douali | 1 | 26 | 4.38 |
Marie-Christine Jaulent | 2 | 375 | 68.72 |