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Automated Evaluation of Medical Software Usage: Algorithm and Statistical Analyses.

Author information

1
School of Public Health, The University of Texas Health Science Center at Houston, TX, USA.
2
School of Biomedical Informatics, The University of Texas Health Science Center at Houston, TX, USA.

Abstract

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.

PMID:
26262267
[Indexed for MEDLINE]

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