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Virtual Patientization: A Playable Design for Clinical Ultrasound Training by Embedding Virtual Lesions

Published: 14 October 2024 Publication History

Abstract

Simulation training is utilized as part of ultrasound diagnostic practice in medical education. Representative simulation training includes practices using phantoms, Virtual Reality (VR), and Augmented Reality (AR). These methods provide training experiences close to real practice while avoiding direct intervention on patients, thus contributing to the improvement of learners’ skills. However, existing simulation training lacks opportunities to learn lesion exploration and clinical decision making in clinical situations where the presence of lesions is uncertain in actual human bodies. Additionally, while these learning experiences take the form of active practice, due to the characteristics of phantoms and VR/AR, they tend to only aid in understanding the appearance of lesions. Although learners improve their adaptability to simulation training through repeated practice, there remains doubt as to whether they acquire skills applicable to clinical settings. To address this issue, we introduce a novel playable design: virtual patientization. We enhance ultrasound images taken from healthy persons with different levels of virtual lesions to achieve more and practical training. Our design extends its capabilities by providing opportunities to practice lesion detection and clinical decision making, thereby enhancing diagnostic skills through real human interaction. Subjective evaluation from medical doctors revealed that for virtual patientization, it is essential to represent critical points in the physician’s diagnosis and ensure that no unrealistic events occur, thus clarifying future challenges. We believe that our virtual patientization modality is useful for ultrasound diagnostic education and training and can contribute to improving the quality of healthcare.

Supplemental Material

MP4 File - 3665463.3678788-video/VirtualPatientization.mp4
This video will be used at CHI PLAY '24. This video provides an overview of "Virtual Patientization: A Playable Design for Clinical Ultrasound Training by Embedding Virtual Lesions."

References

[1]
S Albakheet. 2024. Twinkle artifact of renal calculi. https://doi.org/10.53347/rID-52222 Accessed June 6, 2024.
[2]
Nojoud Alrashidi, Eddieson Pasay an, Maha Sanat Alrashedi, Aidah Sanad Alqarni, Ferdinand Gonzales, Enas Mohammed Bassuni, Petelyne Pangket, Lorraine Estadilla, Lizy Sonia Benjamin, and Kawther Elthayeb Ahmed. 2023. Effects of simulation in improving the self-confidence of student nurses in clinical practice: a systematic review. BMC Medical Education 23, 1 (2023), 815. https://doi.org/10.1186/s12909-023-04793-1
[3]
Camilla Aakjær Andersen, John Brodersen, Torsten Rahbek Rudbæk, and Martin Bach Jensen. 2021. Patients’ experiences of the use of point-of-care ultrasound in general practice–a cross-sectional study. BMC Family Practice 22, 1 (2021), 116. https://doi.org/10.1186/s12875-021-01459-z
[4]
Esther Z Barsom, Maurits Graafland, and Marlies P Schijven. 2016. Systematic review on the effectiveness of augmented reality applications in medical training. Surgical endoscopy 30 (2016), 4174–4183. https://doi.org/10.1007/s00464-016-4800-6
[5]
David J Blehar, Bruce Barton, and Romolo J Gaspari. 2015. Learning curves in emergency ultrasound education. Academic emergency medicine 22, 5 (2015), 574–582. https://doi.org/10.1111/acem.12653
[6]
Nikhila Chelikam, Ankit Vyas, Rutikbhai Desai, Nida Khan, Karanrajsinh Raol, Anusha Kavarthapu, Prahasith Kamani, Garad Ibrahim, Sowmya Madireddy, Suveenkrishna Pothuru, 2023. Past and Present of Point-of-Care Ultrasound (PoCUS): A Narrative Review. Cureus 15, 12 (2023). https://doi.org/10.7759/cureus.50155
[7]
M Henderson and J Dolan. 2016. Challenges, solutions, and advances in ultrasound-guided regional anaesthesia. BJA Education 16, 11 (2016), 374–380. https://doi.org/10.1093/bjaed/mkw026
[8]
Kai-Chun Hu, Daniel Salcedo, Yi-No Kang, Che-Wei Lin, Chin-Wang Hsu, Chung-Yi Cheng, Fat-Moon Suk, and Wen-Cheng Huang. 2020. Impact of virtual reality anatomy training on ultrasound competency development: A randomized controlled trial. PloS one 15, 11 (2020), e0242731. https://doi.org/10.1371/journal.pone.0242731
[9]
Bhone Myint Kyaw, Nakul Saxena, Pawel Posadzki, Jitka Vseteckova, Charoula Konstantia Nikolaou, Pradeep Paul George, Ushashree Divakar, Italo Masiello, Andrzej A Kononowicz, Nabil Zary, 2019. Virtual reality for health professions education: systematic review and meta-analysis by the digital health education collaboration. Journal of medical Internet research 21, 1 (2019), e12959. https://doi.org/10.2196/12959
[10]
Ltd. Kyoto Kagaku Co.2023. ABDFAN. https://www.kyotokagaku.com/products_data/us1b_catalog_en.pdf Accessed June 5, 2024.
[11]
Yanyu Mu, David Hocking, Zhan Tao Wang, Gregory J Garvin, Roy Eagleson, and Terry M Peters. 2020. Augmented reality simulator for ultrasound-guided percutaneous renal access. International journal of computer assisted radiology and surgery 15 (2020), 749–757. https://doi.org/10.1007/s11548-020-02142-x
[12]
Nobuto Nakanishi, Shigeaki Inoue, Rie Tsutsumi, Yusuke Akimoto, Yuko Ono, Joji Kotani, Hiroshi Sakaue, and Jun Oto. 2021. Rectus femoris mimicking ultrasound phantom for muscle mass assessment: Design, research, and training application. Journal of Clinical Medicine 10, 12 (2021), 2721. https://doi.org/10.3390/jcm10122721
[13]
Bo Peng, Xing Huang, Shiyuan Wang, and Jingfeng Jiang. 2019. A real-time medical ultrasound simulator based on a generative adversarial network model. In 2019 IEEE International Conference on Image Processing (ICIP). IEEE, 4629–4633.
[14]
Christoph Rüger, Markus A Feufel, Simon Moosburner, Christopher Özbek, Johann Pratschke, and Igor M Sauer. 2020. Ultrasound in augmented reality: a mixed-methods evaluation of head-mounted displays in image-guided interventions. International Journal of Computer Assisted Radiology and Surgery 15 (2020), 1895–1905. https://doi.org/10.1007/s11548-020-02236-6
[15]
Talia Tene, Diego Fabián Vique López, Paulina Elizabeth Valverde Aguirre, Luz María Orna Puente, and Cristian Vacacela Gomez. 2024. Virtual reality and augmented reality in medical education: an umbrella review. Frontiers in Digital Health 6 (2024). https://doi.org/10.3389/fdgth.2024.1365345
[16]
D Timmerman, P Schwärzler, WP Collins, F Claerhout, M Coenen, F Amant, I Vergote, and TH Bourne. 1999. Subjective assessment of adnexal masses with the use of ultrasonography: an analysis of interobserver variability and experience. Ultrasound in Obstetrics and Gynecology: The Official Journal of the International Society of Ultrasound in Obstetrics and Gynecology 13, 1 (1999), 11–16. https://doi.org/10.1046/j.1469-0705.1999.13010011.x
[17]
Takuo Yoshida, Takuya Yoshida, Hisashi Noma, Takeshi Nomura, Akihiro Suzuki, and Takahiro Mihara. 2023. Diagnostic accuracy of point-of-care ultrasound for shock: a systematic review and meta-analysis. Critical Care 27, 1 (2023), 1–11. https://doi.org/10.1186/s13054-023-04495-6
[18]
Eugene Yuriditsky, James M Horowitz, Sunil Nair, and Brian S Kaufman. 2021. Simulation-based uptraining improves provider comfort in the management of critically ill patients with COVID-19. Journal of Critical Care 61 (2021), 14–17. https://doi.org/10.1016/j.jcrc.2020.09.035

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      cover image ACM Conferences
      CHI PLAY Companion '24: Companion Proceedings of the 2024 Annual Symposium on Computer-Human Interaction in Play
      October 2024
      500 pages
      ISBN:9798400706929
      DOI:10.1145/3665463
      Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than the author(s) must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected].

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      Published: 14 October 2024

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      Author Tags

      1. Augmented Reality
      2. Medical Education
      3. Ultrasound
      4. Virtual Lesion

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