Literature DB >> 15360766

Patterns of usage for a Web-based clinical information system.

Elizabeth S Chen1, James J Cimino.   

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.

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Mesh:

Year:  2004        PMID: 15360766

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  8 in total

1.  ResourceLog: an embeddable tool for dynamically monitoring the usage of web-based bioscience resources.

Authors:  Nian Liu; Luis Marenco; Perry L Miller
Journal:  J Am Med Inform Assoc       Date:  2006-04-18       Impact factor: 4.497

2.  The evolving use of a clinical data repository: facilitating data access within an electronic medical record.

Authors:  Adam B Wilcox; David K Vawdrey; Yueh-Hsia Chen; Bruce Forman; George Hripcsak
Journal:  AMIA Annu Symp Proc       Date:  2009-11-14

3.  The future state of clinical data capture and documentation: a report from AMIA's 2011 Policy Meeting.

Authors:  Caitlin M Cusack; George Hripcsak; Meryl Bloomrosen; S Trent Rosenbloom; Charlotte A Weaver; Adam Wright; David K Vawdrey; Jim Walker; Lena Mamykina
Journal:  J Am Med Inform Assoc       Date:  2012-09-08       Impact factor: 4.497

4.  Using electronic health record audit logs to study clinical activity: a systematic review of aims, measures, and methods.

Authors:  Adam Rule; Michael F Chiang; Michelle R Hribar
Journal:  J Am Med Inform Assoc       Date:  2020-03-01       Impact factor: 4.497

5.  Electronic Health Record Logs Indicate That Physicians Split Time Evenly Between Seeing Patients And Desktop Medicine.

Authors:  Ming Tai-Seale; Cliff W Olson; Jinnan Li; Albert S Chan; Criss Morikawa; Meg Durbin; Wei Wang; Harold S Luft
Journal:  Health Aff (Millwood)       Date:  2017-04-01       Impact factor: 6.301

6.  Visual clustering analysis of CIS logs to inform creation of a user-configurable Web CIS interface.

Authors:  Y Senathirajah; S Bakken
Journal:  Methods Inf Med       Date:  2011-06-21       Impact factor: 2.176

7.  Awareness of the Care Team in Electronic Health Records.

Authors:  David K Vawdrey; Lauren G Wilcox; Sarah Collins; Steven Feiner; Olena Mamykina; Daniel M Stein; Suzanne Bakken; Matthew R Fred; Peter D Stetson
Journal:  Appl Clin Inform       Date:  2011       Impact factor: 2.342

8.  The electronic health record audit file: the patient is waiting.

Authors:  Annemarie G Hirsch; J B Jones; Virginia R Lerch; Xiaoqin Tang; Andrea Berger; Deserae N Clark; Walter F Stewart
Journal:  J Am Med Inform Assoc       Date:  2017-04-01       Impact factor: 4.497

  8 in total

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