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Article

Pediatric Anesthesia Providers' Perspective on the Real-Life Implementation of Philips Visual Patient Avatar: A Qualitative Study

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11 October 2023

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12 October 2023

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Abstract
Philips Visual Patient Avatar represents an alternative method of patient monitoring that, according to computer-based simulation studies, enhances diagnostic accuracy, confidence and reduces workload. After its clinical integration, we assessed pediatric anesthesia providers' perspectives on this technology. This is a single-center qualitative study, conducted at the University Hospital Zurich using in-depth individual interviews. We aimed to identify the advantages and limitations of Visual Patient Avatar in pediatric anesthesia and to assess children and parents' reactions from caregivers' perspective. Thematic analysis was used to identify the dominant themes. Fourteen members of the institution's pediatric anesthesia team were interviewed. The most prevalent themes were: children's positive reactions towards the Visual Patient Avatar (92.9%) and enhanced speed in problem identification (71.4%). Additionally, 50% of participants reported finding the Visual Patient Avatar useful for diverting children's attention during anesthesia induction, and 50% suggested that its vital sign thresholds should be adaptable for different age groups. The study revealed that the Visual Patient Avatar was recognized as a valuable tool in pediatric anesthesia, enabling prompt identification of underlying issues and receiving positive feedback from both children and parents. The most commonly voiced wish for improvement in the study was the ability to customize the Visual Patient Avatar's thresholds for different age groups.
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1. Introduction

Advancements in medical technology have significantly enhanced patient monitoring in the fields of perioperative and intensive care medicine [1,2]. Patient monitoring to date predominantly relies on the single-sensor-single-indicator principle—a technology-centered approach that involves measuring specific parameters and displaying them individually as separate numbers and waves [3,4]. However, this model does not fully exploit the potential of human sensory perception [4]. Philips Visual Patient Avatar—a situation awareness-oriented visualization technology for patient monitoring (Figure 1)—was specifically developed according to human-centered design principles to make optimal use of human users’ perceptive abilities. It uses colors, shapes and animations to convey information about vital signs [4] and displays multiple vital signs derived from various sensors in a single indicator—i.e., a patient avatar [5,6]. Based on cognitive psychology and neuroscience principles [7,8,9,10], such a user-centered visual language is more effectively perceived, comprehended and interpreted by humans, leading to an enhanced level of situation awareness [4,11]. Situation awareness is based on gathering information from diverse environmental sources, comprehending its significance, and employing it to anticipate future developments. It entails developing and maintaining a dynamic awareness of the situation and associated risks within an activity [5]. While the principles of situation awareness initially emerged within the aviation context, they have also found application in intensive care medicine [12] and anesthesia [13], where effective management of dynamic situations is paramount. Notably, approximately 80% of treatment errors in intensive care units and intraoperative settings can be attributed to insufficient situation awareness among healthcare providers [14,15]. The positive impacts of situation awareness enhancing technology—e.g., Visual Patient Avatar—have been demonstrated in numerous studies [4,11,16,17,18,19]. This visualization technology enabled clinicians in a high-fidelity simulation study to identify the underlying medical issue with a higher probability than conventional monitoring. Additionally, it has been shown to improve diagnostic confidence and alleviate perceived workload in computer-based studies [4,16,17,20].
While the functionality and user perceptions of Visual Patient Avatar have been examined in multiple simulation studies [11,17,18,19], there is currently a lack of information regarding the evaluation of this technology in clinical practice, as it was introduced into clinical settings only in the spring of 2023.
The objective of this study was to capture and analyze the perspectives of pediatric anesthesia personnel, as well as indirectly those of pediatric patients and their parents or legal guardians, regarding the use of Visual Patient Avatar in clinical routine.
Figure 1. Visual Patient Avatar: Vital signs and locations of their appearance.
Figure 1. Visual Patient Avatar: Vital signs and locations of their appearance.
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2. Materials and Methods

  • Approval and Consent
The study protocol was assessed by the Cantonal Ethics Committee of the Canton of Zurich, Switzerland, who issued a declaration of non-jurisdiction (Business Management System for Ethics Committees number Req-2021-00756). Nevertheless, each participant gave written informed consent for their data to be used for research purposes. Participation was voluntary and without any compensation.
  • Study Design
We conducted a researcher-initiated, single-center, qualitative descriptive study investigating anesthesia providers’ perceptions of the Visual Patient Avatar in pediatric anesthesia. The study involved in-depth interviews with anesthesia providers, including staff anesthesiologists, residents, and nurses. During the interviews, field notes were collected. The study was performed at the Institute of Anesthesiology, University Hospital Zurich, Switzerland, over two consecutive weeks in April 2023.
  • Visual Patient Avatar in the Study Center
A situation awareness-oriented, user-centered visualization technology for patient monitoring—Visual Patient Avatar—was introduced in the operating theatres of the University Hospital Zurich in March 2023. The University Hospital Zurich, where the technology was developed, is the pioneering center for implementing Visual Patient Avatar in clinical practice. During the initial phase of the technology’s implementation, lectures explaining the concept of Visual Patient Avatar and training sessions were held to provide information on the use of the technology. An educational video and a quick guide were made available on the Intranet of the study center (Appendix A and Appendix B). As in adult anesthesia, Visual Patient Avatar is routinely used in pediatric anesthesia in the study center as a split screen feature, which displays a combination of conventional patient monitoring and Visual Patient Avatar side-by-side (Figure 2). In the study center, three monitor profiles—neonatal, pediatric, and adult—are used. These profiles differ by their defined acoustic alarm limits and Visual Patient thresholds and are selected according to the patient category.
  • Data Collection
We collected data through semi-structured individual interviews, using an interview guide to provide a general framework for discussion (Appendix C). The interview guide was designed by the study authors and was divided into two parts: open-ended questions and demographic data. The open-ended questions focused on three main issues: the positive features of Visual Patient Avatar in pediatric anesthesia; areas for improvement; and children’s and parents’ reactions to Visual Patient Avatar.
Demographic data were collected at the beginning of each interview. This included age, sex, role (staff anesthesiologist, resident, nurse) and the number of years participants had practiced anesthesia. The final question addressed whether the respondents were familiar with the Visual Patient Avatar learning material (Appendix A and Appendix B).
  • Data Analysis
  • Open-ended Questions
We translated responses to open-ended questions from German to English using DeepL (DeepL GmbH, Cologne, Germany)—an online translator. The translated answers are provided in Appendix D.
We used the thematic analysis six-phase approach to identify the topics that dominated the participants’ responses in each open-ended question separately [21]. After completing the data collection and carefully reviewing the gathered information, the research team engaged in a discussion regarding their overall impressions and potential thematic ideas based on the collected responses. First, three team members, DF, DWT and GG, analyzed the participants’ answers independently; then, they made a final decision regarding the main themes provided by the participants in a joint discussion.
  • Demographic Data
We conducted the demographic data analysis using Microsoft Excel (Microsoft Corp., Redmond, WA, USA) and Prism 9 (GraphPad Software, Boston, MA, USA). We present the demographic data as numbers and their percentage distribution or as medians and interquartile ranges.

3. Results

3.1. Participant Characteristics

Of the 21 anesthesia care providers in the Institution’s pediatric anesthesia team, 14 (66.7%) were available for the interviews. The distribution of staff anesthesiologists, residents, and nurses was approximately equal in number. The least experienced care provider had two years of anesthesia practice, whereas the most experienced had 27 years. All participants had at least six months of pediatric anesthesia experience.
Table 1. Participant characteristics.
Table 1. Participant characteristics.
Participants (n = 14)
Sex
Female 5 (35.7%)
Male 9 (64.3%)
Participant age in years, median (IQR) 42 (38–45)
Anesthesia experience in years, median (IQR) 11 (6–14)
Role
Certified nurse anesthetist 4 (28.6%)
Resident 1–2 years of training 1 (7.1%)
Resident 3–5 years of training 1 (7.1%)
Resident with > 5 years of experience 3 (21.4%)
Staff anesthesiologist 5 (35.7%)
Educational material consulted
Quick guide only 4 (28.6%)
Tutorial video only 0
Both 3 (21.4%)
None 7 (50.0%)

3.2. The Positive Impact of Visual Patient Avatar on Pediatric Anesthesia from Anesthesia Providers’ Perspective

Two themes were identified to summarize the positive aspects of the Visual Patient Avatar in the pediatric setting: 1) faster identification of problems through visual information, resulting in increased situation awareness, and 2) usefulness of the tool for distracting children and reducing stress during anesthesia induction.

3.2.1. Faster identification of problems through visual information, resulting in increased situation awareness

Ten out of the 14 respondents (71.4%) emphasized this theme during the interview. The participants indicated that visualizing vital parameters, particularly body temperature and oxygen saturation, helps them recognize underlying problems faster.
“Even faster problem recognition, especially when the child’s temperature or oxygen saturation drops.” (Participant 2)
It was emphasized that the recognition of some parameters is better even from a considerable distance from the monitor. For example, during the induction of anesthesia for airway management, the anesthetists position themselves at the patient’s head while the monitor is often placed at the foot end of the patient, particularly in head surgery.
“From the position on the patient’s head, e.g., during anesthesia induction (standing far from the monitor), changes in the vital parameters can be quickly recognized.” (Participant 3)
Participant 9 highlighted that the Visual Patient Avatar has the ability to quickly provide a generalized picture of the situation, leading to an improvement in situation awareness.
“Visual Patient Avatar is good for situation awareness, e.g., if a lot of attention is taken up with the distraction of the child at the beginning of the induction, a good picture of the overall situation can be formed by a quick look at the Visual Patient Avatar. The focus is directly drawn to the problem if there is one.” (Participant 9)

3.2.2. Usefulness of the tool for distracting children and reducing stress

The second most frequently mentioned advantage—the effectiveness of the Visual Patient Avatar as a tool for distracting children from the procedures during induction and reducing perioperative stress—was emphasized by seven out of the 14 respondents (50%).
“Visual Patient Avatar offers the possibility of distracting children during certain procedures.” (Participant 2)
Respondents also emphasized that the Visual Patient Avatar has the ability to capture a child’s attention through its appearance and can assist in explaining the meaning of certain parameters, which adds an element of entertainment value.
“Visual Patient is a good tool to entertain the child, exciting to look at, and attracts attention through flashing and colors. It is also good for explaining individual monitoring parameters to the child.” (Participant 9)

3.3. Areas for Improvement of Visual Patient Avatar from Anesthesia Providers’ Perspective

Two dominant themes emerged from the responses regarding areas for improvement of the Visual Patient Avatar in pediatric anesthesia: 1) the lack of adaptability of the avatar thresholds for children of different age groups, and 2) the absence of quantitative information.

3.3.1. Lack of Adaptability of the Visual Patient Avatar Thresholds for Children of Different Age Groups

Of the 14 participants, seven (50%) felt that allowing the Visual Patient Avatar to adjust its thresholds according to different age groups would be beneficial for improvement.
“There should be more profiles of Visual Patient Avatar for different age groups in pediatric anesthesia because with the standard pediatric profile, the alarms do not always fit with very small children or even older children, and it then alarms wrongly and distracts.” (Participant 9)
Specifically, regarding the heart rate, participants emphasized the necessity of adapting the Visual Patient thresholds for different age groups. It was observed that high pediatric heart rates, which exceed the preset threshold of the Visual Patient Avatar and cause its heart to pulsate rapidly, have the potential to distract attention.
“The very high pediatric heart rate is visually distracting in Visual Patient Avatar.” (Participant 3)

3.3.2. Lack of quantitative information

A second frequently mentioned theme regarding areas for improvement of the Visual Patient Avatar in pediatric anesthesia was the lack of quantitative information. This theme was mentioned by 5 out of the 14 participants (35.7%).
Participant 7 emphasized that, especially in critical situations, quantitative information is needed for decision-making:
“In a critical situation, I would not pay much attention to visualizations. You need numbers for that.”

3.4. Anesthesia Providers’ Comments on Children’s Reactions to Visual Patient Avatar

With the exception of one participant, who stated that children respond to the Visual Patient Avatar “neutrally,” all other participants (13/14, 92.9%) emphasized that children react positively and show interest in the Visual Patient Avatar.
“Children react very positively to Visual Patient Avatar: curious, find it exciting or even funny.” Participant 9
“Children like Visual Patient Avatar: its sympathetic appearance, friendly impression.” Participant 1
“Children definitely benefit from Visual Patient Avatar: you can explain the process to them better, and it also has an entertainment value.” Participant 6

3.5. Anesthesia Providers’ Comments on Parents’ Reactions to Visual Patient Avatar

Five out of 14 respondents (35.7%) mentioned that parents had expressed interest or a positive opinion about the Visual Patient Avatar.
“I experience it in Caesarean sections: the patient and the partner react very positively to Visual Patient Avatar; so I imagine that parents in pediatric anesthesia settings would also respond positively.” Participant 3
Four out of 14 participants (28.6%) expressed concerns about parents’ reactions to the Visual Patient Avatar, noting that it could potentially irritate parents if they are unaware of the meaning behind the changes in the Visual Patient Avatar.
“Parents might be irritated, possibly worried, if everything flashes quickly or Visual Patient Avatar turns purple.” Participant 9
Table 2 provides the main themes identified in the responses to the open-ended questions, with the number of participants and percentages.

4. Discussion

This study examined the observations and opinions of anesthesia personnel on the Philips Visual Patient Avatar in pediatric anesthesia after its real-life implementation in a single center. This study allowed us to identify the aspects of the technology that are positively regarded by pediatric anesthesia care providers and indirectly by patients and their parents or legal guardians. Moreover, it highlighted areas that could benefit from further improvements, according to their perspectives. Most notably, participants observed that the technology was well-received by children during the perioperative phase and that it enhanced situation awareness. The most common suggestion for future improvement was the ability for users to adjust the visualization thresholds of the Visual Patient Avatar. A substantial 93% of participants emphasized the positive responses and interest that children demonstrated towards the Visual Patient Avatar. Around 50% of the participants also noted that the Visual Patient Avatar effectively distracts children during anesthesia induction, potentially helping to lower their perioperative stress levels. Even in cases of minor day surgery, substantial evidence indicates that children experience significant distress and anxiety during the perioperative period [22,23,24]. The anesthesia induction process can be a frightening experience for children, as it involves encountering an unfamiliar situation. Before surgery, as many as 75% of children undergoing anesthesia have reported experiencing anxiety or distress [25]. This anxiety is often manifested through behaviors such as crying, fear of separation, restlessness, anger, or behavioral freezing. Additionally, pediatric anesthesia has been associated with postoperative maladaptive behaviors and potential adverse effects on a child’s long-term development [26,27,28,29]. So, the fact that Visual Patient Avatar, by distracting the child and arousing interest, may help to reduce anxiety in the perioperative period is a positive finding that may even influence the child’s further development positively.
The second most mentioned theme, reported by 71% of participants, was that the Visual Patient Avatar enhanced situation awareness. This finding demonstrates that the Visual Patient Avatar is successfully achieving its primary goal as a situation awareness-oriented visualization technology. As shown in previous computer-based and high-fidelity simulation studies of the Visual Patient technology [4,16,17,20], integrated numerical and waveform data, represented in the visual form of changing colors, shapes and animations, contributed to faster decision-making, increased accuracy of clinical diagnoses, decreased perceived workload and increased perceived diagnostic confidence. These findings could be explained by Visual Patient’s design, which integrates multiple parameters from multiple sensors into a single indicator enabling care providers to assess multiple vital signs simultaneously [3,4,30]. These points are underscored by the principles of cognitive psychology and neuroscience that underpin data visualization. The Gestalt principles of perception—similarity, proximity, closure, enclosure, continuity, and connection—suggest that when humans encounter visual stimuli, they do not just passively observe individual elements. Instead, the human mind actively organizes and interprets these elements, perceiving them as unified and meaningful entities [7,8].
An idea for improvement identified in this study was the possibility of providing more profiles for more different age groups of pediatric patients. Half of the participants mentioned this suggestion as a valuable improvement that could enhance their practice.

Limitations and Strengths

This study has several limitations and strengths. Firstly, the study is subject to the inherent limitations of qualitative research. The findings derived from qualitative analysis cannot be generalized to larger populations with the same level of certainty as quantitative results, as they are not tested for statistical significance [31]. Furthermore, it is important to note that this was a relatively small study conducted at a single university hospital in Europe, the initial development site for the technology, with a specialized user group of pediatric anesthesiologists. As a result, user perceptions may differ across various clinical settings worldwide, and additional qualitative and quantitative studies are needed. Lastly, participant selection for the interviews relied on their availability within their clinical routine and their willingness to participate in an interview on this topic, as opposed to a randomized selection.
A significant strength of this study lies in its novelty; it is the first study to investigate the perceptions of users, and indirectly pediatric patients and their parents or legal guardians, regarding the Visual Patient Avatar technology after its implementation in clinical practice.

5. Conclusions

This study is the initial exploration into the perceptions of pediatric anesthesia providers, patients, and their parents or legal guardians regarding the Visual Patient Avatar technology after its integration into clinical practice. The findings of the study indicate that pediatric anesthesia providers perceive the visual information provided by the Visual Patient Avatar as a valuable tool for rapidly identifying underlying issues and, consequently, improving situation awareness. A notable idea for improvement proposed by the participants was to offer optional adjustments to the Visual Patient thresholds based on pediatric age groups. An essential piece of feedback was the remarkable appreciation expressed by the patients—the children. Not only does this technology show potential in improving the technical aspects of anesthesia, but it may also offer the promise of alleviating perioperative stress and enhancing the psychological acceptability of these procedures for children. This added value further underscores the significance of the technology.

Supplementary Materials

The following supporting information can be downloaded at the website of this paper posted on Preprints.org.

Author Contributions

Conceptualization: DF, JL, PM, CBN, DWT, GG; Data Analysis: DF, DWT, GG; Writing—Original Draft Preparation: GG; Review & Editing: DF, JL, PM, CBN, DWT, GG; Visualization: PM, GG; Supervision: DWT, GG; Project Administration: DWT. JL and DF contributed equally to this paper. All authors read and approved the final manuscript.

Funding

The Institute of Anesthesiology of the University Hospital of Zurich, Zurich, Switzerland and the University of Zurich, Zurich, Switzerland funded this project.

Institutional Review Board Statement

The Cantonal Ethics Committee of the Canton of Zurich in Switzerland, reviewed the study protocol and issued a declaration of no objection (Business Management System for Ethics Committees Number Req-2021-00756).

Informed Consent Statement

We obtained written informed consent from all participants for the use of their data.

Data Availability Statement

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request.

Acknowledgments

The authors are thankful to the study participants for their time and effort.

Conflicts of Interest

CBN is an inventor of Visual Patient and Visual Patient Predictive technologies, for which the University of Zurich and Koninklijke Philips N.V. hold patents, patent applications, design protections, and trademarks. Joint-development and licensing agreements exist with Philips Medizin Systeme Böblingen GmbH, Böblingen, Germany; Koninklijke Philips N.V., Amsterdam, The Netherlands; Philips Research/Philips Electronics Nederland BV, Eindhoven, The Netherlands; and Philips USA, Cambridge, MA, USA. Within the framework of these agreements, CBN receives travel support, lecturing and consulting honoraria, and may potentially receive royalties in the event of successful commercialization. CBN is an inventor of Visual Clot technology, with patent applications, design protections, and trademarks held by the University of Zurich. In case of successful commercialization, CBN may receive royalties. CBN is an inventor of Visual Blood technology, for which the University of Zurich holds patent applications and design protections; potential royalties may follow successful commercialization. CBN received travel support, lecturing, and consulting honoraria from Instrumentation Laboratory—Werfen, Bedford, MA, USA. DWT is the first named inventor of Visual Patient and Visual Patient Predictive technologies, for which the University of Zurich and Koninklijke Philips N.V. hold patents, patent applications, design protections, and trademarks. Joint-development and licensing agreements exist with Philips Medizin Systeme Böblingen GmbH, Böblingen, Germany; Koninklijke Philips N.V., Amsterdam, The Netherlands; Philips Research/Philips Electronics Nederland BV, Eindhoven, The Netherlands; and Philips USA, Cambridge, MA, USA. Within the framework of these agreements, DWT receives research funding, travel support, lecturing and consulting honoraria, and may potentially receive royalties in the event of successful commercialization. DWT also holds a position on the Philips Patient Safety Advisory Board. DWT is the first named inventor of Visual Clot technology, with patent applications, design protections, and trademarks held by the University of Zurich. In case of successful commercialization, DWT may receive royalties. DWT is the first named inventor of Visual Blood technology, for which the University of Zurich holds patent applications and design protections; potential royalties may follow successful commercialization. Additionally, DWT received travel support, lecturing, and consulting honoraria from Instrumentation Laboratory—Werfen, Bedford, MA, USA, the Swiss Foundation for Anaesthesia Research in Zurich, Switzerland, and the International Symposium on Intensive Care and Emergency Medicine in Brussels, Belgium. No other funding or competing interests declared.

Appendix A

Visual Patient Avatar educational video

Appendix B

Visual Patient Avatar short user guide

Appendix C

Interview guide

Appendix D

Translated interview answers

References

  1. Hashimoto, D.A.; et al. Artificial Intelligence in Anesthesiology: Current Techniques, Clinical Applications, and Limitations. Anesthesiology 2020, 132, 379–394. [Google Scholar] [CrossRef]
  2. Topol, E.J. High-performance medicine: the convergence of human and artificial intelligence. Nat Med 2019, 25, 44–56. [Google Scholar] [CrossRef] [PubMed]
  3. Drews, F.A. Patient monitors in critical care: Lessons for improvement. Advances in patient safety: new directions and alternative approaches (vol. 3: Performance and tools). 2008.
  4. Tscholl, D.W.; et al. Situation Awareness-Oriented Patient Monitoring with Visual Patient Technology: A Qualitative Review of the Primary Research. Sensors 2020, 20, 2112. [Google Scholar] [CrossRef] [PubMed]
  5. Endsley, M.R. Designing for Situation Awareness: An Approach to User-Centered Design, 2nd ed.CRC Press Inc.: Boca Raton, FL, USA, 2011. [Google Scholar]
  6. Oury, J.D.; Ritter, F.E.; Oury, J.D.; Ritter, F.E. How User-Centered Design Supports Situation Awareness for Complex Interfaces. In Building Better Interfaces for Remote Autonomous Systems: An Introduction for Systems Engineers; 2021. [Google Scholar]
  7. Katz, D. Gestalt psychology: its nature and significance. 1950.
  8. Wagemans, J.; et al. A century of Gestalt psychology in visual perception: I. Perceptual grouping and figure–ground organization. Psychological bulletin 2012, 138, 1172. [Google Scholar] [CrossRef]
  9. Croskerry, P. Clinical cognition and diagnostic error: applications of a dual process model of reasoning. Advances in health sciences education 2009, 14, 27–35. [Google Scholar] [CrossRef]
  10. Kahneman, D. Thinking, fast and slow. macmillan, 2011.
  11. Roche, T.R.; et al. Avatar-based patient monitoring in critical anaesthesia events: a randomised high-fidelity simulation study. Br J Anaesth 2021, 126, 1046–1054. [Google Scholar] [CrossRef]
  12. Reader, T.W.; et al. Team situation awareness and the anticipation of patient progress during ICU rounds. BMJ Qual Saf 2011, 20, 1035–1042. [Google Scholar] [CrossRef]
  13. Schulz, C.M.; et al. Situation awareness in anesthesia: concept and research. Anesthesiology 2013, 118, 729–742. [Google Scholar] [CrossRef]
  14. Schulz, C.M.; et al. Frequency and Type of Situational Awareness Errors Contributing to Death and Brain Damage: A Closed Claims Analysis. Anesthesiology 2017, 127, 326–337. [Google Scholar] [CrossRef] [PubMed]
  15. Schulz, C.M.; et al. Situation awareness errors in anesthesia and critical care in 200 cases of a critical incident reporting system. BMC Anesthesiol 2016, 16, 4. [Google Scholar] [CrossRef] [PubMed]
  16. Tscholl, D.W.; et al. Using an animated patient avatar to improve perception of vital sign information by anaesthesia professionals. Br J Anaesth 2018, 121, 662–671. [Google Scholar] [CrossRef]
  17. Tscholl, D.W.; et al. User perceptions of avatar-based patient monitoring: a mixed qualitative and quantitative study. BMC Anesthesiol 2018, 18, 188. [Google Scholar] [CrossRef]
  18. Bergauer, L.; Braun, J.; Roche, T.R.; Meybohm, P.; Hottenrott, S.; Zacharowski, K.; Raimann, F.J.; Rivas, E.; López-Baamonde, M.; Ganter, M.T.; Nöthiger, C.B. Avatar-based patient monitoring for intensive care units improves information transfer, diagnostic confidence and decreases perceived workload—A computer-based, multicentre comparison study. Sci Rep 2023, 13. [Google Scholar] [CrossRef] [PubMed]
  19. Garot, O.; et al. Avatar-based versus conventional vital sign display in a central monitor for monitoring multiple patients: a multicenter computer-based laboratory study. BMC Med Inform Decis Mak 2020, 20, 26. [Google Scholar] [CrossRef]
  20. Tscholl, D.W.; et al. The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study. J Med Internet Res 2020, 22, e15070. [Google Scholar] [CrossRef] [PubMed]
  21. Braun, V.; Clarke, V. Using Thematic Analysis in Psychology. Qualitative Research in Psychology 2006, 3, 77–101. [Google Scholar] [CrossRef]
  22. Fortier, M.A.; et al. Perioperative anxiety in children. Paediatr Anaesth 2010, 20, 318–322. [Google Scholar] [CrossRef] [PubMed]
  23. Kain, Z.N.; et al. Preoperative anxiety, postoperative pain, and behavioral recovery in young children undergoing surgery. Pediatrics 2006, 118, 651–658. [Google Scholar] [CrossRef] [PubMed]
  24. Wright, K.D.; et al. Prevention and intervention strategies to alleviate preoperative anxiety in children: a critical review. Behav Modif 2007, 31, 52–79. [Google Scholar] [CrossRef] [PubMed]
  25. Kain, Z.N.; et al. Preoperative anxiety in children. Predictors and outcomes. Arch Pediatr Adolesc Med 1996, 150, 1238. [Google Scholar] [CrossRef]
  26. Caldas, J.C.; Pais-Ribeiro, J.L.; Carneiro, S.R. General anesthesia, surgery and hospitalization in children and their effects upon cognitive, academic, emotional and sociobehavioral development—A review. Paediatr Anaesth 2004, 14, 910–915. [Google Scholar] [CrossRef] [PubMed]
  27. Kain, Z.N.; et al. Preoperative anxiety and emergence delirium and postoperative maladaptive behaviors. Anesth Analg 2004, 99, 1648–1654. [Google Scholar] [CrossRef] [PubMed]
  28. Vagnoli, L.; et al. Clown doctors as a treatment for preoperative anxiety in children: a randomized, prospective study. Pediatrics 2005, 116, e563-7. [Google Scholar] [CrossRef] [PubMed]
  29. Wennström, B.; Hallberg, L.R.; Bergh, I. Use of perioperative dialogues with children undergoing day surgery. J Adv Nurs 2008, 62, 96–106. [Google Scholar] [CrossRef]
  30. Tscholl, D.W.; et al. The Mechanisms Responsible for Improved Information Transfer in Avatar-Based Patient Monitoring: Multicenter Comparative Eye-Tracking Study. J Med Internet Res 2020, 22, e15070. [Google Scholar] [CrossRef]
  31. Atieno, O.P. An analysis of the strengths and limitation of qualitative and quantitative research paradigms. Problems of education in the 21stcentury 2009, 13. [Google Scholar]
Figure 2. An example of a split-screen view, providing a combination of conventional monitoring and Visual Patient Avatar. The split screen shows real-time data from traditional patient monitoring parameters such as heart rate, blood pressure, and oxygen saturation alongside the Visual Patient Avatar. This allows healthcare providers to have a comprehensive and integrated view of the avatar-based visualization and the conventional monitoring information simultaneously.
Figure 2. An example of a split-screen view, providing a combination of conventional monitoring and Visual Patient Avatar. The split screen shows real-time data from traditional patient monitoring parameters such as heart rate, blood pressure, and oxygen saturation alongside the Visual Patient Avatar. This allows healthcare providers to have a comprehensive and integrated view of the avatar-based visualization and the conventional monitoring information simultaneously.
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Table 2. The main themes identified in the responses with the number of participants and the corresponding percentages.
Table 2. The main themes identified in the responses with the number of participants and the corresponding percentages.
The Positive impact of Visual Patient Avatar on pediatric anesthesia
  • Faster identification of problems through visual information, resulting in increased situation awareness. 10/14 (71.4%)
  • Usefulness of the tool for distracting children and reducing stress. 7/14 (50%)
Areas for improvement of Visual Patient Avatar in pediatric anesthesia
  • Lack of adaptability of the Visual Patient Avatar thresholds for children of different age groups. 7/14 (50%)
  • Lack of quantitative information. 5/14 (35.7%)
Anesthesia Providers’ Comments on Children’s Reactions to Visual Patient Avatar Anesthesia Providers’ Comments on Parents’ Reactions to Visual Patient Avatar
  • Positive and interested reactions from children regarding the Visual Patient Avatar. 13/14 (92.9%)
  • Positive and interested reactions from parents regarding the Visual Patient Avatar. 5/14 (35.7%)
  • Possible cause of irritation for parents if they do not know what different changes in Visual Patient Avatar mean. 4/14 (28.6%)
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