Published on in Vol 22, No 4 (2020): April

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Leveraging Eye Tracking to Prioritize Relevant Medical Record Data: Comparative Machine Learning Study

Journals

  1. Wronski P, Wensing M, Ghosh S, Gärttner L, Müller W, Koetsenruijter J. Use of a quantitative data report in a hypothetical decision scenario for health policymaking: a computer-assisted laboratory study. BMC Medical Informatics and Decision Making 2021;21(1) View
  2. Seifer D, Mcgrath K, Scholl G, Mohan V, Gold J. Sex Differences in Electronic Health Record Navigation Strategies: Secondary Data Analysis. JMIR Human Factors 2021;8(2):e25957 View
  3. Shin G, Lee Y, Park T, Cho I, Yun M, Bahn S, Lee J. Investigation of usability problems of electronic medical record systems in the emergency department. Work 2021:1 View
  4. Kołodziej P, Tuszyńska-Bogucka W, Dzieńkowski M, Bogucki J, Kocki J, Milosz M, Kocki M, Reszka P, Kocki W, Bogucka-Kocka A. Eye Tracking—An Innovative Tool in Medical Parasitology. Journal of Clinical Medicine 2021;10(13):2989 View
  5. King A, Calzoni L, Tajgardoon M, Cooper G, Clermont G, Hochheiser H, Visweswaran S. A simple electronic medical record system designed for research. JAMIA Open 2021;4(3) View
  6. Visweswaran S, King A, Tajgardoon M, Calzoni L, Clermont G, Hochheiser H, Cooper G. Evaluation of eye tracking for a decision support application. JAMIA Open 2021;4(3) View