Published on in Vol 7, No 11 (2019): November

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15313, first published .
The Use of Smartphone-Based Triage to Reduce the Rate of Outpatient Error Registration: Cross-Sectional Study

The Use of Smartphone-Based Triage to Reduce the Rate of Outpatient Error Registration: Cross-Sectional Study

The Use of Smartphone-Based Triage to Reduce the Rate of Outpatient Error Registration: Cross-Sectional Study

Authors of this article:

Wanhua Xie1 Author Orcid Image ;   Xiaojun Cao2 Author Orcid Image ;   Hongwei Dong3 Author Orcid Image ;   Yu Liu1 Author Orcid Image

Journals

  1. Zeleňák K, Krajina A, Meyer L, Fiehler J, Behme D, Bulja D, Caroff J, Chotai A, Da Ros V, Gentric J, Hofmeister J, Kass-Hout O, Kocatürk Ö, Lynch J, Pearson E, Vukasinovic I. How to Improve the Management of Acute Ischemic Stroke by Modern Technologies, Artificial Intelligence, and New Treatment Methods. Life 2021;11(6):488 View
  2. Wang S, Lu Q, Ye Z, Liu F, Yang N, Pan Z, Li Y, Li L. Effects of a smartphone application named “Shared Decision Making Assistant” for informed patients with primary liver cancer in decision-making in China: a quasi-experimental study. BMC Medical Informatics and Decision Making 2022;22(1) View
  3. Cao L, Chongsuvivatwong V, McNeil E. The Sociodemographic Digital Divide in Mobile Health App Use Among Clients at Outpatient Departments in Inner Mongolia, China: Cross-sectional Survey Study. JMIR Human Factors 2022;9(2):e36962 View
  4. Cao L, Chongsuvivatwong V, McNeil E. The Association between mHealth App Use and Healthcare Satisfaction among Clients at Outpatient Clinics: A Cross-Sectional Study in Inner Mongolia, China. International Journal of Environmental Research and Public Health 2022;19(11):6916 View
  5. Totuk A, Bayramoglu B, Tayfur I. Reliability of smartphone measurements of peripheral oxygen saturation and heart rate in hypotensive patients measurement of vital signs with smartphones. Heliyon 2023;9(2):e13145 View
  6. Wang B, Gao Z, Lin Z, Wang R. A Disease-Prediction Protocol Integrating Triage Priority and BERT-Based Transfer Learning for Intelligent Triage. Bioengineering 2023;10(4):420 View
  7. Liu X, Lai R, Wu C, Yan C, Gan Z, Yang Y, Zeng X, Liu J, Liao L, Lin Y, Jing H, Zhang W. Assessing the utility of artificial intelligence throughout the triage outpatients: a prospective randomized controlled clinical study. Frontiers in Public Health 2024;12 View
  8. Wang P, Yu L, Li T, Zhou L, Ma X. Use of Mobile Technologies to Streamline Pretriage Patient Flow in the Emergency Department: Observational Usability Study. JMIR mHealth and uHealth 2024;12:e54642 View
  9. Seretlo R, Mokgatle M, Smuts H. Positive views, attitudes, and acceptability toward mHealth applications in addressing queer sexual and reproductive health: Healthcare providers and the queer individuals. DIGITAL HEALTH 2024;10 View
  10. Yang L, Pang J, Zuo S, Xu J, Jin W, Zuo F, Xue K, Xiao Z, Peng X, Xu J, Zhang X, Chen R, Luo S, Zhang S, Sun X. Evolution of the “Internet Plus Health Care” Mode Enabled by Artificial Intelligence: Development and Application of an Outpatient Triage System. Journal of Medical Internet Research 2024;26:e51711 View