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Abdullah Abdul Rida Abdullah Alajmi

Otago University, New Zealand

Title: White lesions of the oral mucosa: iOS Apple smartphone App

Biography

Biography: Abdullah Abdul Rida Abdullah Alajmi

Abstract

Objective: The purpose of this study was to plan, design, build and test a prototype iOS iPhone App to aid general dentists in their diagnosis of oral white lesions.

Methods: Twenty-two oral white lesions were listed under seven categories: hereditary, infectious, traumatic, immunological, idiopathic, potentially malignant and malignant. Lesions were grouped according to similarities and differences in tables. Five questions are considered the gold standard for obtaining differential diagnoses for any lesion. Two examples of the method were presented in graphs using ‘yEd Graph Editor’ and then used in the i-diagnostic tool App. The App consists of simple Table View Controllers, linked using push segues and was created using Xcode 5.0 on Macbook OS X version 10.8.4, 2.5 GHz Intel Core i5, and 4 GB 1600 MHz DDR3 Memory. The App was optimized to work on iOS 7.0 software. A System Usability Scale (SUS) test was performed by five general dentists from the Faculty of Dentistry at the University of Otago.

Results: The average SUS result was 84. On a 5-point Likert scale, all five usability testers reported 4 (“agree”) to the question “I would use this App in a clinical setting”. Further feedback and suggestions included; difficulty assessing lesion texture from the digital photographs, more options for the site of lesion required, variation in assessment when selecting colour, the difference between solitary and multiple sites.

Conclusion: Overall the SUS result is satisfactory at this stage of the i-diagnostic tool development. Further development of the App, along with usability testing, is required to achieve better functionality, accuracy, reliability and a more user friendly tool.