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Cross-platform digital assessment forms for evaluating surgical skills
Author(s) -
Steven Arild Wuyts Andersen
Publication year - 2015
Publication title -
journal of educational evaluation for health professions
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.397
H-Index - 9
ISSN - 1975-5937
DOI - 10.3352/jeehp.2015.12.13
Subject(s) - computer science , variety (cybernetics) , extant taxon , online assessment , software , multimedia , human–computer interaction , mobile device , data science , world wide web , artificial intelligence , formative assessment , evolutionary biology , biology , programming language , statistics , mathematics
A variety of structured assessment tools for use in surgical training have been reported, but extant assessment tools often employ paper-based rating forms. Digital assessment forms for evaluating surgical skills could potentially offer advantages over paper-based forms, especially in complex assessment situations. In this paper, we report on the development of cross-platform digital assessment forms for use with multiple raters in order to facilitate the automatic processing of surgical skills assessments that include structured ratings. The FileMaker 13 platform was used to create a database containing the digital assessment forms, because this software has cross-platform functionality on both desktop computers and handheld devices. The database is hosted online, and the rating forms can therefore also be accessed through most modern web browsers. Cross-platform digital assessment forms were developed for the rating of surgical skills. The database platform used in this study was reasonably priced, intuitive for the user, and flexible. The forms have been provided online as free downloads that may serve as the basis for further development or as inspiration for future efforts. In conclusion, digital assessment forms can be used for the structured rating of surgical skills and have the potential to be especially useful in complex assessment situations with multiple raters, repeated assessments in various times and locations, and situations requiring substantial subsequent data processing or complex score calculations

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