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EN
Creating multiple clinically realistic virtual patients (VPs) is a daunting, time-consuming process whereby time saved with a basic template still requires the end-user to populate physical exam, laboratory investigations and physiological data specifically to the nuances of each case. Within the gaming domain, it is common to populate multiple characters within a game by randomizing a range of values or characteristics (e.g. eye colour, height, weapons). Transferred to the clinical context, the ability to randomize all laboratory and other investigation results to default within the range of accepted physiological parameters for each finding allowed the University of Calgary to rapidly create ninety-seven VPs with clinically appropriate alphanumeric normal values. Using spreadsheet and database software, randomization was achieved by establishing the range of normal laboratory results. In addition, patient background, such as marital status, occupation, and so forth were also generated for each VP. These data-populated VPs were then imported into Open Labyrinth, where Subject Matter Expert time was condensed to providing abnormal findings to fit the context of the clinical presentation and desired diagnosis. The combination of common office productivity software and an open source VP platform allows others to leverage the same process for local curricular VP-based programs. This technique also optimizes programmer, instructional designer and subject matter expert time commitments to the project.
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