Published on in Vol 24, No 10 (2022): October

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/40946, first published .
Examining Mental Workload Relating to Digital Health Technologies in Health Care: Systematic Review

Examining Mental Workload Relating to Digital Health Technologies in Health Care: Systematic Review

Examining Mental Workload Relating to Digital Health Technologies in Health Care: Systematic Review

Journals

  1. Yuan Z, Wang J, Feng F, Jin M, Xie W, He H, Teng M. The levels and related factors of mental workload among nurses: A systematic review and meta‐analysis. International Journal of Nursing Practice 2023;29(5) View
  2. Thirunavukarasu A, Hassan R, Mahmood S, Sanghera R, Barzangi K, El Mukashfi M, Shah S. Trialling a Large Language Model (ChatGPT) in General Practice With the Applied Knowledge Test: Observational Study Demonstrating Opportunities and Limitations in Primary Care. JMIR Medical Education 2023;9:e46599 View
  3. Lisanne K, Jonathan G, Rainer R, Bernhard B. Investigation of eye movement measures of mental workload in healthcare: Can pupil dilations reflect fatigue or overload when it comes to health information system use?. Applied Ergonomics 2024;114:104150 View
  4. Asthana S, Prime S. The role of digital transformation in addressing health inequalities in coastal communities: barriers and enablers. Frontiers in Health Services 2023;3 View
  5. Surendran A, Beccaria L, Rees S, Mcilveen P. Cognitive mental workload of emergency nursing: A scoping review. Nursing Open 2024;11(2) View