title: Patterns of usage for a Web-based clinical information system.
abstract: Understanding how clinicians are using clinical information systems to assist with their everyday tasks is valuable to the system design and development process. Developers of such systems are interested in monitoring usage in order to make enhancements. System log files are rich resources for gaining knowledge about how the system is being used. We have analyzed the log files of our Web-based clinical information system (WebCIS) to obtain various usage statistics including which WebCIS features are frequently being used. We have also identified usage patterns, which convey how the user is traversing the system. We present our method and these results as well as describe how the results can be used to customize menus, shortcut lists, and patient reports in WebCIS and similar systems.
authors.affiliation: Department of Biomedical Informatics, Columbia University, 622 W. 168th Street, Vanderbilt Clinic 5th Floor, New York, NY 10032, USA. liz.chen@dbmi.columbia.edu
authors.forename: Elizabeth S
authors.initials: ES
authors.lastname: Chen
authors.forename: James J
authors.initials: JJ
authors.lastname: Cimino
mesh_terms: D003625:Data Collection / Q000379:methods; D019992:Databases as Topic / Q000706:statistics & numerical data; D007255:Information Services / Q000706:statistics & numerical data; D007256:Information Systems / Q000706:statistics & numerical data*; D020407:Internet / Q000706:statistics & numerical data*; D016347:Medical Records Systems, Computerized / Q000706:statistics & numerical data*