A large-scale knowledge management method based on the analysis of the use of online knowledge resources.
作者信息
Del Fiol Guilherme, Cimino James J, Maviglia Saverio M, Strasberg Howard R, Jackson Brian R, Hulse Nathan C
机构信息
Duke University, Durham, NC;
出版信息
AMIA Annu Symp Proc. 2010 Nov 13;2010:142-6.
UNLABELLED
Online health knowledge resources can be integrated into electronic health record systems using decision support tools known as "infobuttons." In this study we describe a knowledge management method based on the analysis of knowledge resource use via infobuttons in multiple institutions.
METHODS
We conducted a two-phase analysis of laboratory test infobutton sessions at three healthcare institutions accessing two knowledge resources. The primary study measure was session coverage, i.e. the rate of infobutton sessions in which resources retrieved relevant content.
RESULTS
In Phase One, resources covered 78.5% of the study sessions. In addition, a subset of 38 noncovered tests that most frequently raised questions was identified. In Phase Two, content development guided by the outcomes of Phase One resulted in a 4% average coverage increase.
CONCLUSION
The described method is a valuable approach to large-scale knowledge management in rapidly changing domains.
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