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BACKGROUND In-patient management like ordering medical tests is time-consuming and burdens physicians on the ward with non-clinical tasks. We developed and implemented a smartphone-based mobile application (MA) that uses speech recognition for the ordering of radiological examinations. While we could show that the MA supported process was faster, its acceptance and usability remaines unknown. OBJECTIVE We examined the user experience (1), user acceptance (2) and the determinants of user acceptance (3) of a new mobile, speech recognition guided in-patient management MA. METHODS A comprehensive questionnaire based on the short version of the User Experience Questionnaire (UEQ-S) and the Unified Theory of Acceptance and use of Technology (UTAUT) was given to all physicians at the Department of Trauma and Plastic Surgery at the University Hospital of Wuerzburg , Germany. The user experience with the new MA was compared to the usual desktop application (DA) workflow embedded in the clinical information system (i.s.h.med, Cerner Health Services Deutschland GmbH, Berlin, Germany). The domains of user experience consisted of overall attractiveness, pragmatic quality, and hedonic quality. For the determinants of the acceptance model, we employed hierarchical regression analysis. RESULTS Twenty-one out of 30 physicians (mean age 34±8 years, 62% male) completed the questionnaire (response rate 70%). Compared to the conventional DA workflow, the new MA showed superior overall attractiveness (mean difference +2.15±1.33), pragmatic quality (mean difference +1.90±1.16), hedonic quality (mean difference 2.41±1.62; all p<.001). The user acceptance measured by the UTAUT (mean 4.49, SD 0.41; min. 1, max. 5) was also high. Performance expectancy (beta=0.57, p=.02) and effort expectancy (beta=0.36, p=.04) were identified as predictors of acceptance explaining 65.4% of its variance. CONCLUSIONS There is huge potential in reducing the physicians’ burden of administrative tasks by adopting innovative DHI like our speech recognition guided MA in daily ward routine. With this study, we could illustrate that physicians are more than willing to implement such innovative mobile health solutions.

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The administrative burden for physicians in the hospital can affect the quality of patient care. The Service Center Medical Informatics (SMI) of the University Hospital Würzburg developed and implemented the smartphone-based mobile application (MA) ukw.mobile1 that uses speech recognition for the point-of-care ordering of radiological examinations. The aim of this study was to examine the usability of the MA workflow for the point-of-care ordering of radiological examinations. All physicians at the Department of Trauma and Plastic Surgery at the University Hospital Würzburg, Germany, were asked to participate in a survey including the short version of the User Experience Questionnaire (UEQ-S) and the Unified Theory of Acceptance and Use of Technology (UTAUT). For the analysis of the different domains of user experience (overall attractiveness, pragmatic quality and hedonic quality), we used a two-sided dependent sample t-test. For the determinants of the acceptance model, we employed regression analysis. Twenty-one of 30 physicians (mean age 34 ± 8 years, 62% male) completed the questionnaire. Compared to the conventional desktop application (DA) workflow, the new MA workflow showed superior overall attractiveness (mean difference 2.15 ± 1.33), pragmatic quality (mean difference 1.90 ± 1.16), and hedonic quality (mean difference 2.41 ± 1.62; all p < .001). The user acceptance measured by the UTAUT (mean 4.49 ± 0.41; min. 1, max. 5) was also high. Performance expectancy (beta = 0.57, p = .02) and effort expectancy (beta = 0.36, p = .04) were identified as predictors of acceptance, the full predictive model explained 65.4% of its variance. Point-of-care mHealth solutions using innovative technology such as speech-recognition seem to address the users’ needs and to offer higher usability in comparison to conventional technology. Implementation of user-centered mHealth innovations might therefore help to facilitate physicians’ daily work.

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