Recommendations for a Clinical Decision Support for the Management of Individuals with Chronic Kidney Disease
Author(s) -
Meenal Patwardhan,
Kensaku Kawamoto,
David F. Lobach,
Uptal D. Patel,
David B. Matchar
Publication year - 2009
Publication title -
clinical journal of the american society of nephrology
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 2.755
H-Index - 151
eISSN - 1555-905X
pISSN - 1555-9041
DOI - 10.2215/cjn.02590508
Subject(s) - workgroup , medicine , context (archaeology) , multidisciplinary approach , clinical decision support system , process (computing) , guideline , identification (biology) , decision support system , kidney disease , process management , relevance (law) , knowledge management , computer science , data mining , pathology , business , computer network , social science , paleontology , botany , sociology , political science , law , biology , operating system
Care for advanced CKD patients is suboptimal. CKD practice guidelines aim to close gaps in care, but making providers aware of guidelines is an ineffective implementation strategy. The Institute of Medicine has endorsed the use of clinical decision support (CDS) for implementing guidelines. The authors' objective was to identify the requirements of an optimal CDS system for CKD management.
Accelerating Research
Robert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom
Address
John Eccles HouseRobert Robinson Avenue,
Oxford Science Park, Oxford
OX4 4GP, United Kingdom