Published on in Vol 8, No 2 (2020): February

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/16063, first published .
Automatic Work-Hours Recorder for Medical Staff (Staff Hours): Mobile App Development

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

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

Journals

  1. Rout A, Nitoslawski S, Ladle A, Galpern P. Using smartphone-GPS data to understand pedestrian-scale behavior in urban settings: A review of themes and approaches. Computers, Environment and Urban Systems 2021;90:101705 View
  2. Chen I, Chen Y, Liao S, Lin Y. Development of Digital Biomarkers of Mental Illness via Mobile Apps for Personalized Treatment and Diagnosis. Journal of Personalized Medicine 2022;12(6):936 View
  3. Wang H, Lin Y. Assessing Physicians’ Recall Bias of Work Hours With a Mobile App: Interview and App-Recorded Data Comparison. Journal of Medical Internet Research 2021;23(12):e26763 View
  4. Chen H, Lu H, Weng W, Lin Y. Developing a Machine Learning Algorithm to Predict the Probability of Medical Staff Work Mode Using Human-Smartphone Interaction Patterns: Algorithm Development and Validation Study. Journal of Medical Internet Research 2023;25:e48834 View
  5. Chen H, Lin C, Chang H, Chang J, Chuang H, Lin Y. Developing Methods for Assessing Mental Activity Using Human-Smartphone Interactions: Comparative Analysis of Activity Levels and Phase Patterns in General Mental Activities, Working Mental Activities, and Physical Activities. Journal of Medical Internet Research 2024;26:e56144 View