J Rheum Dis 2019; 26(2): 111-117  
Usability Evaluation of an Image-based Pill Identification Application
Soo-Kyung Cho1, Bora Kim2, Eunohk Park2, Jieun Kim2, Hokyoung Ryu2, Yoon-Kyoung Sung1
1Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 2Department of Arts & Technology, Hanyang University, Seoul, Korea
Correspondence to: Yoon-Kyoung Sung http://orcid.org/0000-0001-6691-8939
Department of Rheumatology, Hanyang University Hospital for Rheumatic Diseases, 222 Wangsimni-ro, Seongdong-gu, Seoul 04763, Korea. E-mail:sungyk@hanyang.ac.kr
Received: September 18, 2018; Revised: December 6, 2018; Accepted: December 6, 2018; Published online: April 1, 2019.
© Korean College of Rheumatology. All rights reserved.

This is a open Access article, which permits unrestricted non-commerical use, distribution, and reproduction in any medium, provided the original work is properly cited.
Abstract
Objective. To measure the accuracy and usability of an the image-processing based pill identifier application that we have developed. Methods. The subjects selected were medical residents and nurses. Five nurses and five physicians were randomly assigned to use either an the image-processing based pill identifier application (n=10), or the conventional pill identifier application (n=10). They were instructed to examine 10 pills using the application assigned to them, and searches that took <3 minutes to find candidate drugs were recognized as successes. Among these successful searches, the accuracy was defined to identify the correct names of the drugs and the times needed in the correctly identifications were also measured. After using one application the subjects were instructed to use the other one and repeat the same process. Finally, they answered a questionnaire on the usability of the applications. Results. The average proportion searches completed within 3 minutes was 91% for the the image-processing based pill identifier application, slightly, but not significantly, higher than that for the conventional pill identifier application (85%). The accuracies of the the image-processing based and conventional pill identifier applications were similar, 89% and 83%, respectively. In the usability examination, the the image-processing based pill identifier application yielded higher scores for the desirable, usable, findable and useful qualities than the conventional pill identifier application. Conclusion. The the image-processing based pill identifier application application has a similar accuracy to the existing conventional pill identifier application, and its usability was also found to be good.
Keywords: Mobile applications, Pill identification, Usability


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