Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development.

JMIR MHealth and UHealth
Ting-Wei ChiangYu-Hsuan Lin

Abstract

There are numerous mobile apps for tracking work hours, but only a few of them record work hours automatically instead of relying on manual logging. No apps have been customized for medical staff, whose work schedules are highly complicated as they have both regular hours and on-call duties. The specific aims of this study were to (1) identify the Staff Hours app users' GPS-defined work hours, (2) examine the overtime work hours from the app-recorded total work hours and the participants' self-reported scheduled work hours, and (3) compare these app-recorded total work hours among different occupations. We developed an app, Staff Hours, to automatically calculate a user's work hours via GPS background data. Users can enter their scheduled hours, including regular hours and on-call duties. The app automatically generates overtime reports by comparing the app-recorded total work hours with the user-defined scheduled hours. A total of 183 volunteers (60 females and 123 males; mean age 32.98 years, SD 6.74) were included in this study. Most of the participants (162/183, 88.5%) were medical staff, and their positions were resident physicians (n=89), visiting staff (n=38), medical students (n=10), registered nurses (n=25), and non-he...Continue Reading

References

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Sep 7, 2006·JAMA : the Journal of the American Medical Association·Christopher P LandriganCharles A Czeisler
Jun 21, 2011·Stress : the International Journal on the Biology of Stress·Yu-Hsuan LinCheryl C H Yang
Mar 23, 2013·Psychophysiology·Yu-Hsuan LinCheryl C H Yang
Jun 22, 2013·Journal of Psychiatric Research·Yu-Hsuan LinSheng-Hsuan Lin
Mar 27, 2019·JMIR MHealth and UHealth·Yuan-Chien PanYu-Hsuan Lin

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