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

Design and Usability of Medical Devices (98) New Methods (944) Patient Monitoring and Anesthesia Information Management Systems (13) Participatory Design and Participatory Research (329) Digital Health, Telehealth and e-Innovation in Clinical Settings (401) New and Emerging Methods and Tools in Surgery and Anaesthesiology (41)

Published on in Vol 9, No 1 (2022): Jan-Mar

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/34677, first published .
User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

User Perceptions of Different Vital Signs Monitor Modalities During High-Fidelity Simulation: Semiquantitative Analysis

Authors of this article:

Samira Akbas1 Author Orcid Image ;   Sadiq Said1 Author Orcid Image ;   Tadzio Raoul Roche1 Author Orcid Image ;   Christoph B Nöthiger1 Author Orcid Image ;   Donat R Spahn1 Author Orcid Image ;   David W Tscholl1 Author Orcid Image ;   Lisa Bergauer1 Author Orcid Image
Article Authors Cited by (6) Tweetations (2) Metrics

Journals

  1. 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
  2. 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
  3. Lunkiewicz J, Gasciauskaite G, Roche T, Akbas S, Nöthiger C, Ganter M, Meybohm P, Hottenrott S, Zacharowski K, Raimann F, Rivas E, López-Baamonde M, Beller E, Tscholl D, Bergauer L. User Perceptions of Avatar-Based Patient Monitoring for Intensive Care Units: An International Exploratory Sequential Mixed-Methods Study. Diagnostics 2023;13(21):3391 View
  4. Shamszare H, Choudhury A. Clinicians’ Perceptions of Artificial Intelligence: Focus on Workload, Risk, Trust, Clinical Decision Making, and Clinical Integration. Healthcare 2023;11(16):2308 View
  5. Hunn C, Lunkiewicz J, Noethiger C, Tscholl D, Gasciauskaite G. Qualitative Exploration of Anesthesia Providers’ Perceptions Regarding Philips Visual Patient Avatar in Clinical Practice. Bioengineering 2024;11(4):323 View
  6. Hube N, Reinelt M, Vidackovic K, Sedlmair M. A study on the influence of situations on personal avatar characteristics. Visual Computing for Industry, Biomedicine, and Art 2024;7(1) View