Automated Evaluation of Medical Software Usage: Algorithm and Statistical Analyses.
Evaluating the correctness of medical software usage is critically important in healthcare system management. Turf [1] 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.
School of Public Health, The University of Texas Health Science Center at Houston, TX, USA.
Ming
M
Cao
School of Public Health, The University of Texas Health Science Center at Houston, TX, USA.
Yong
Y
Chen
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA.
Min
M
Zhu
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA.
Jiajie
J
Zhang
D000465:Algorithms; D005069:Evaluation Studies as Topic; D006801:Humans; D008491:Medical Informatics Applications; D012984:Software / Q000592:standards; D014584:User-Computer Interface