Literature DB >> 11922932

Evaluation in health informatics: computer simulation.

James G Anderson1.   

Abstract

The evaluation of complex medical informatics applications involves not only the information system, but also its impact on the organizational environment in which it is implemented. In instances where these applications cannot be evaluated with traditional experimental methods, computer simulation provides a flexible approach to evaluation. The construction of a computer simulation model involves the development of a model that represents important aspects of the system under evaluation. Once validated, the model can be used to study the effects of variation in system inputs, differences in initial conditions and changes in the structure of the system. Three examples are discussed, namely, a wide-area health care network, physician order entry into a hospital information system, and the use of an information system designed to prevent medical errors that lead to adverse drug events in hospitals.

Mesh:

Year:  2002        PMID: 11922932     DOI: 10.1016/s0010-4825(02)00012-4

Source DB:  PubMed          Journal:  Comput Biol Med        ISSN: 0010-4825            Impact factor:   4.589


  8 in total

1.  A focus on simulation in medical informatics.

Authors:  James G Anderson
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

2.  Evaluating the capability of information technology to prevent adverse drug events: a computer simulation approach.

Authors:  James G Anderson; Stephen J Jay; Marilyn Anderson; Thaddeus J Hunt
Journal:  J Am Med Inform Assoc       Date:  2002 Sep-Oct       Impact factor: 4.497

3.  Use of simulation in the study of clinician workflow.

Authors:  Elizabeth M Borycki; Andre W Kushniruk; Shige Kuwata; Joseph Kannry
Journal:  AMIA Annu Symp Proc       Date:  2006

4.  Redesigning pharmacy delivery processes of a health care complex.

Authors:  Vincent Augusto; Xiaolan Xie
Journal:  Health Care Manag Sci       Date:  2009-06

5.  A three-phase approach for operating theatre schedules.

Authors:  Angela Testi; Elena Tanfani; Giancarlo Torre
Journal:  Health Care Manag Sci       Date:  2007-06

6.  Workflow in clinical trial sites & its association with near miss events for data quality: ethnographic, workflow & systems simulation.

Authors:  Elias Cesar Araujo de Carvalho; Adelia Portero Batilana; Wederson Claudino; Luiz Fernando Lima Reis; Rafael A Schmerling; Jatin Shah; Ricardo Pietrobon
Journal:  PLoS One       Date:  2012-06-29       Impact factor: 3.240

7.  Patients with newly diagnosed cervical cancer should be screened for anal human papilloma virus and anal dysplasia: Results of a pilot study using a STELLA computer simulation and economic model.

Authors:  Eli D Ehrenpreis; Dylan G Smith
Journal:  Papillomavirus Res       Date:  2017-12-13

8.  The Impact of Longer Consultation Time: A Simulation-Based Approach.

Authors:  Abdulrahman M Jabour
Journal:  Appl Clin Inform       Date:  2020-12-23       Impact factor: 2.342

  8 in total

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