Point-of-Care Speech-Recognition Based mHealth Solution to Facilitate Physicians' Daily Work

1Citations
Citations of this article
7Readers
Mendeley users who have this article in their library.

Abstract

We developed and implemented a smartphone-based mobile application that uses speech recognition for the point-of-care ordering of radiological examinations. 21 out of 30 physicians completed a usability questionnaire including the Short version of the User Experience Questionnaire (UEQ-S) and the Unified Theory of Acceptance and Use of Technology (UTAUT). The mobile application showed high user acceptance and superior user experience when compared to the conventional workflow. Due to the high usability of our mHealth solution, it might help to facilitate the physician's daily work.

Author supplied keywords

Cite

CITATION STYLE

APA

Kerwagen, F., Fuchs, K. F., Ullrich, M., Schulze, A., Kunz, A., Fette, G., & Ertl, M. (2022). Point-of-Care Speech-Recognition Based mHealth Solution to Facilitate Physicians’ Daily Work. In Studies in Health Technology and Informatics (Vol. 295, pp. 41–42). IOS Press BV. https://doi.org/10.3233/SHTI220654

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free