Automated Evaluation of Medical Software Usage: Algorithm and Statistical Analyses
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TURF
Usability
Epidemiology
Medicine and Health Sciences
Public Health
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Evaluating the correctness of medical software usage is critically important in healthcare system management. Turf is a software that can effectively collect interactions between user and computer. In this paper, we propose an algorithm to compare the recorded human-computer interaction events with a predefined path. Based on the pass/fail results, statistical analysis methods are proposed for two applications: to identify training effects and to compare products of the same functionality.
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Ming Cao, Yong Chen, Min Zhu, Jiajie Zhang. (2015). Automated Evaluation of Medical Software Usage: Algorithm and Statistical Analyses. In I.N. Sarkar et al. (Eds.), MEDINFO 2015: eHealth-enabled Health (p. 965). dx.doi.org/10.3233/978-1-61499-564-7-965 This article is published online with Open Access by IOS Press and distributed under the terms of the Creative Commons Attribution Non-Commercial License.