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

Human Factors and Usability Case Studies (787) Visualization in eHealth (58) New and Emerging Methods and Tools in Surgery and Anaesthesiology (41)

Published on in Vol 22, No 3 (2020): March

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/15070, first published .
The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study

The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study

The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study

Authors of this article:

David Werner Tscholl1 Author Orcid Image ;   Julian Rössler1 Author Orcid Image ;   Lucas Handschin1 Author Orcid Image ;   Burkhardt Seifert2 Author Orcid Image ;   Donat R Spahn1 Author Orcid Image ;   Christoph B Nöthiger1 Author Orcid Image
Article Authors Cited by (18) Tweetations (4) Metrics

Journals

  1. Garot O, Rössler J, Pfarr J, Ganter M, Spahn D, Nöthiger C, Tscholl D. Avatar-based versus conventional vital sign display in a central monitor for monitoring multiple patients: a multicenter computer-based laboratory study. BMC Medical Informatics and Decision Making 2020;20(1) View
  2. Tscholl D, Rössler J, Said S, Kaserer A, Spahn D, Nöthiger C. Situation Awareness-Oriented Patient Monitoring with Visual Patient Technology: A Qualitative Review of the Primary Research. Sensors 2020;20(7):2112 View
  3. Rössler J, Kaserer A, Albiez B, Braun J, Breckwoldt J, Spahn D, Nöthiger C, Tscholl D. Comparing Classroom Instruction to Individual Instruction as an Approach to Teach Avatar-Based Patient Monitoring With Visual Patient: Simulation Study. JMIR Medical Education 2020;6(1):e17922 View
  4. Poncette A, Mosch L, Spies C, Schmieding M, Schiefenhövel F, Krampe H, Balzer F. Improvements in Patient Monitoring in the Intensive Care Unit: Survey Study. Journal of Medical Internet Research 2020;22(6):e19091 View
  5. Roche T, Said S, Rössler J, Gozdzik M, Meybohm P, Zacharowski K, Spahn D, Nöthiger C, Tscholl D. Physicians’ Perceptions of a Situation Awareness–Oriented Visualization Technology for Viscoelastic Blood Coagulation Management (Visual Clot): Mixed Methods Study. JMIR Serious Games 2020;8(4):e19036 View
  6. Roche T, Said S, Braun J, Maas E, Machado C, Grande B, Kolbe M, Spahn D, Nöthiger C, Tscholl D. Avatar-based patient monitoring in critical anaesthesia events: a randomised high-fidelity simulation study. British Journal of Anaesthesia 2021;126(5):1046 View
  7. Zhu Y, Sivaparthipan C, Vinothraj V, Balamurugan S, Muthu B, Peng S, Abd Wahab M. Analysis of physical health with internet of things-based computational narrowband physical health framework. Technology and Health Care 2021;29(6):1217 View
  8. Castellucci C, Braun J, Said S, Roche T, Nöthiger C, Spahn D, Tscholl D, Akbas S. Faster Time to Treatment Decision of Viscoelastic Coagulation Test Results through Improved Perception with the Animated Visual Clot: A Multicenter Comparative Eye-Tracking Study. Diagnostics 2022;12(5):1269 View
  9. Wetli D, Bergauer L, Nöthiger C, Roche T, Spahn D, Tscholl D, Said S. Improving Visual-Patient-Avatar Design Prior to Its Clinical Release: A Mixed Qualitative and Quantitative Study. Diagnostics 2022;12(2):555 View
  10. Saeedvand S, Jafari M, Aghdasi H, Baltes J, Rahmani A. Deep learning: A taxonomy of modern weapons to combat Covid‐19 similar pandemics in smart cities. Concurrency and Computation: Practice and Experience 2022;34(27) View
  11. Roche T, Maas E, Said S, Braun J, Machado C, Spahn D, Noethiger C, Tscholl D. Anesthesia personnel’s visual attention regarding patient monitoring in simulated non-critical and critical situations, an eye-tracking study. BMC Anesthesiology 2022;22(1) View
  12. Schweiger G, Malorgio A, Henckert D, Braun J, Meybohm P, Hottenrott S, Froehlich C, Zacharowski K, Raimann F, Piekarski F, Noethiger C, Spahn D, Tscholl D, Roche T. Visual Blood, a 3D Animated Computer Model to Optimize the Interpretation of Blood Gas Analysis. Bioengineering 2023;10(3):293 View
  13. Ljubenovic A, Said S, Braun J, Grande B, Kolbe M, Spahn D, Nöthiger C, Tscholl D, Roche T. Visual Attention of Anesthesia Providers in Simulated Anesthesia Emergencies Using Conventional Number-Based and Avatar-Based Patient Monitoring: Prospective Eye-Tracking Study. JMIR Serious Games 2022;10(1):e35642 View
  14. Akbas S, Said S, Roche T, Nöthiger C, Spahn D, Tscholl D, Bergauer L. User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis. JMIR Human Factors 2022;9(1):e34677 View
  15. Bergauer L, Braun J, Roche T, Meybohm P, Hottenrott S, Zacharowski K, Raimann F, Rivas E, López-Baamonde M, Ganter M, Nöthiger C, Spahn D, Tscholl D, Akbas S. Avatar-based patient monitoring improves information transfer, diagnostic confidence and reduces perceived workload in intensive care units: computer-based, multicentre comparison study. Scientific Reports 2023;13(1) View
  16. Gasciauskaite G, Lunkiewicz J, Roche T, Spahn D, Nöthiger C, Tscholl D. Human-centered visualization technologies for patient monitoring are the future: a narrative review. Critical Care 2023;27(1) View
  17. Viautour J, Naegeli L, Braun J, Bergauer L, Roche T, Tscholl D, Akbas S. The Visual Patient Avatar ICU Facilitates Information Transfer of Written Information by Visualization: A Multicenter Comparative Eye-Tracking Study. Diagnostics 2023;13(22):3432 View
  18. Milovanovic P, Braun J, Hunn C, Lunkiewicz J, Tscholl D, Gasciauskaite G. Avatar-based versus conventional patient monitoring with distant vision: a computer-based simulation study. Journal of Clinical Monitoring and Computing 2024 View