This paper is in the following e-collection/theme issue:

Quality Improvement (260)

Published on in Vol 4, No 1 (2016): Jan-Mar

Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes

Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes

Improving Inpatient Surveys: Web-Based Computer Adaptive Testing Accessed via Mobile Phone QR Codes

Authors of this article:

Tsair-Wei Chien1, 2 Author Orcid Image ;   Weir-Sen Lin2 Author Orcid Image
Article Authors Cited by (14) Tweetations (2) Metrics

Journals

  1. Yan Y, Chien T, Yeh Y, Chou W, Hsing S. An App for Classifying Personal Mental Illness at Workplace Using Fit Statistics and Convolutional Neural Networks: Survey-Based Quantitative Study. JMIR mHealth and uHealth 2020;8(7):e17857 View
  2. Hsu C, Chien T, Chow J, Yeh Y, Chou W. An App for Identifying Children at Risk for Developmental Problems Using Multidimensional Computerized Adaptive Testing: Development and Usability Study. JMIR Pediatrics and Parenting 2020;3(1):e14632 View
  3. Lee Y, Chou W, Chien T, Chou P, Yeh Y, Lee H. An App Developed for Detecting Nurse Burnouts Using the Convolutional Neural Networks in Microsoft Excel: Population-Based Questionnaire Study. JMIR Medical Informatics 2020;8(5):e16528 View
  4. Chien T, Shao Y, Kuo S. Development of a Microsoft Excel tool for one-parameter Rasch model of continuous items: an application to a safety attitude survey. BMC Medical Research Methodology 2017;17(1) View
  5. Ma S, Chou W, Chien T, Chow J, Yeh Y, Chou P, Lee H. An App for Detecting Bullying of Nurses Using Convolutional Neural Networks and Web-Based Computerized Adaptive Testing: Development and Usability Study. JMIR mHealth and uHealth 2020;8(5):e16747 View
  6. Cho J, Seo G, Lee J, Cho H, Kang E, Kim J, Chun D, Yi Y, Won S. The Usefulness of the QR Code in Orthotic Applications after Orthopedic Surgery. Healthcare 2021;9(3):298 View
  7. Chou P, Chien T, Yang T, Yeh Y, Chou W, Yeh C. Predicting Active NBA Players Most Likely to Be Inducted into the Basketball Hall of Famers Using Artificial Neural Networks in Microsoft Excel: Development and Usability Study. International Journal of Environmental Research and Public Health 2021;18(8):4256 View
  8. Tey S, Liu C, Chien T, Hsu C, Chan K, Chen C, Cheng T, Wu W. Predicting the 14-Day Hospital Readmission of Patients with Pneumonia Using Artificial Neural Networks (ANN). International Journal of Environmental Research and Public Health 2021;18(10):5110 View
  9. Lin J, Chien T, Wang L, Chou W. An artificial neural network model to predict the mortality of COVID-19 patients using routine blood samples at the time of hospital admission. Medicine 2021;100(28):e26532 View
  10. Chen H, Chien T, Chen L, Yeh Y, Ma S, Lee H. An app for predicting nurse intention to quit the job using artificial neural networks (ANNs) in Microsoft Excel. Medicine 2022;101(11) View
  11. Halpern L, Zhang D, Velarde A. Survey Response Rates to a Self-Initiated Longitudinal Survey Accessed by a Quick Response Code in Six Different Regions of the United States. Cureus 2022 View
  12. Hsu C, Chien T, Yan Y. An application for classifying perceptions on my health bank in Taiwan using convolutional neural networks and web-based computerized adaptive testing. Medicine 2021;100(52):e28457 View
  13. Inata Y, Nakagami‐Yamaguchi E. Translating and validating the Child Hospital Consumer Assessment of Healthcare Providers and Systems Survey in Japan. Pediatrics International 2023;65(1) View
  14. Tennant A, Küçükdeveci A. Application of the Rasch measurement model in rehabilitation research and practice: early developments, current practice, and future challenges. Frontiers in Rehabilitation Sciences 2023;4 View