User perceptions of avatar-based patient monitoring: a mixed qualitative and quantitative study

• Published in: BMC anesthesiology Vol. 18; no. 1; p. 188
• Main Authors: Tscholl, David W, Weiss, Mona, Handschin, Lucas, Spahn, Donat R, Nöthiger, Christoph B
• Format: Journal Article
• Language: English
• Published: England BioMed Central Ltd 11.12.2018; BioMed Central; BMC
• Subjects: Adult; Anesthesia; Anesthesiology; Anesthetists - statistics & numerical data; Attitude of Health Personnel; Biomedical Technology - methods; Checklist; Computer-assisted; Diagnosis; Female; Humans; Male; Medical personnel; Mixed methods research; Monitoring; Monitoring, Physiologic - instrumentation; Monitoring, Physiologic - methods; Patient monitoring; Peer review; Perceptions; Qualitative analysis; Qualitative research; Sensors; Situation awareness; Studies; Surveys and Questionnaires; Technology assessment; Virtual Reality; Vital signs; Vital Signs - physiology; Switzerland; Qualitative research; Patient monitoring; Situation awareness; Computer-assisted; Diagnosis
• ISSN: 1471-2253; 1471-2253
• DOI: 10.1186/s12871-018-0650-1

A new patient monitoring technology called Visual Patient, which transforms numerical and waveform data into a virtual model (an avatar) of the monitored patient, has been shown to improve the perception of vital signs compared to conventional patient monitoring. In order to gain a deeper understanding of the opinions of potential future users regarding the new technology, we have analyzed the answers of two large groups of anesthetists using two different study methods. First, we carried out a qualitative analysis guided by the "consolidated criteria for reporting qualitative research" checklist. For this analysis, we interviewed 128 anesthesiologists, asking: "Where do you see advantages in Visual Patient monitoring?" and afterward identified major and minor themes in their answers. In a second study, an online survey with 38 anesthesiologists at two different institutions, we added a quantitative part in which anesthesiologists rated statements based on the themes identified in the prior analysis on an ordinal rating scale. We identified four high-level themes: "quick situation recognition," "intuitiveness," "unique design characteristics," and "potential future uses," and eight subthemes. The quantitative questions raised for each major theme were: 1. "The Visual Patient technology enabled me to get a quick overview of the situation." (63% of the participants agreed or very much agreed to this statement). 2. "I found the Visual Patient technology to be intuitive and easy to learn." (82% agreed or very much agreed to this statement). 3. "The visual design features of the Visual Patient technology (e.g., the avatar representation) are not helpful for patient monitoring." (11% agreed to this statement). 4. "I think the Visual Patient technology might be helpful for non-monitor experts (e.g., surgeons) in the healthcare system." (53% of the participants agreed or strongly agreed). This mixed method study provides evidence that the included anesthesiologists considered the new avatar-based technology to be intuitive and easy to learn and that the technology enabled them to get an overview of the situation quickly. Only a few users considered the avatar presentation to be unhelpful for patient monitoring and about half think it might be useful for non-experts.