Journal of Korean Society for Quality Management (품질경영학회지)

Korean Society for Quality Management (한국품질경영학회)
권호 표지
DOI QR코드

DOI QR Code

Medical Staff's Awareness of Infected Patient Transfer Robots: Using SERVQUAL and AHP

감염환자 이송 로봇에 대한 의료종사자의 인식: SERVQUAL과 AHP를 활용하여

  • Choi, Hyunchul (Department of Health Services Management, Graduate Colleage, Kyung Hee University) ;
  • Seo, Seul-Ki (Department of Health Services Management, Graduate Colleage, Kyung Hee University) ;
  • Kwon, Jae-Yong (Department of Health Services Management, Graduate Colleage, Kyung Hee University) ;
  • Park, Sangchan (Department of Technology and Society, The State University of New York Korea) ;
  • Chang, Hyejung (Department of Management, School of Management, Kyung Hee University)
  • 최현철 (경희대학교 일반대학원 의료경영학과) ;
  • 서슬기 (경희대학교 일반대학원 의료경영학과) ;
  • 권재용 (경희대학교 일반대학원 의료경영학과) ;
  • 박상찬 (한국뉴욕주립대학교 기술경영학과) ;
  • 장혜정 (경희대학교 경영대학 경영학부)
  • Received : 2023.07.27
  • Accepted : 2023.08.11
  • Published : 2023.09.30
Download PDF
⟨ Previous Next ⟩

Abstract

Purpose: The purpose of this study was to understand the perception of medical staff to propose an infected patient transport robot as a means of responding to infectious diseases. Methods: The data collected through the survey was analyzed through AHP analysis. The measurement tools used in this study were derived through the SERVQUAL model and Focus Group Interview(FGI), and consisted of four detailed questions for each of five classes: tangible, reliability, responsiveness, assurance, and empathy. Results: As a result of the study, there are concerns about risk factors that may occur in areas where medical staff intervention is minimized. Above all, we confirmed the consensus that safety should be the top priority during the process of robots to transport patients. In particular, highlighted were the resolution of device errors that may occur during the process for transporting patients and easy provision of the first aid. Additionally, the ability to monitor patients and suppress infection factors turned out to be important, which was directly related to the simplification of the role of medical staff and work efficiency. Conclusion: As one of the means of effectively controlling infectious diseases in a pandemic situation, a robot to transport the infected patient was considered. However, in order to commercialize this, specific verification of the safety of medical staff and patients is needed, and empirical data on providing the first aid, patient monitoring, and infection factor suppression should be presented.

Keywords

Acknowledgement

이 연구는 2023년도 산업통상자원부 및 한국산업기술평가관리원(KEIT) 연구비 지원에 의한 연구임(20015023).

References

  1. AETHEON PRODUCTS, TUG T3 Datasheet. Available from: https://aethon.com/products/.
  2. Alam, M., Parveen, R., Khan, I. R., and Hamdard, J. 2020. Role of information technology in COVID-19 prevention. International Journal of Business Education and Management Studies 5(1):65-78.
  3. Al-Jabir, A., Kerwan, A., Nicola, M., Alsafi, Z., Khan, M., Sohrabi, C., and Agha, R. 2020. Impact of the Coronavirus (COVID-19) pandemic on surgical practice-Part 2 (surgical prioritisation). International Journal of Surgery 79:233-248.
  4. Baek, C. H., Choe, J. H., & Lim, S. U. (2018). Review and suggestion of characteristics and quality measurement items of artificial intelligence service. Journal of Korean Society for Quality Management, 46(3):677-694.
  5. EpiGuard EpiShuttle, EpiShuttle Brochure. Available from: https://epiguard.com/epishuttle/.
  6. Gold, J. 2016. R2D2's next assignment: hospital orderly. [cited 2016 March 4]. Available from: PBS(https://www.pbs.org/newshour/health/meet-the-r2d2-of-hospital-technology)
  7. Han, S. H., Kim, S. R., Cha, K. S., Son, H. J., Shin, M. J., Choi, J. R., and Choi, J. Y. 2020. Infection Control during Surgery for Patients with Confirmed or Suspected Coronavirus Disease-19. Korean Journal of Healthcare-Associated Infection Control and Prevention 25(1):4-10. https://doi.org/10.14192/kjicp.2020.25.1.4
  8. HYULIM temi, temi: The Personal Robot Specs. Available from: http://hyulim-store.com/Shop/?idx=155.
  9. Im, E. S. 2006. Analytic Hierarchy Process (AHP) - Making Rational Decisions at a Crossroads. Planning and Policy 294:128-135.
  10. Jang, H., Song, C., and Ryu, S. C. 2021. A Perspective on Surgical Robotics and Its Future Directions for the Post-COVID-19 Era. Journal of Korea Robotics Society 16(2):172-178. https://doi.org/10.7746/jkros.2021.16.2.172
  11. Kent, C. 2021. EpiShuttle: launching a next-gen patient isolation pod. [cited 2021 Sep 3].Available from: Medical Device Network(https://www.medicaldevice-network.com/features/epishuttle/).
  12. Khan, Z. H., Siddique, A., and Lee, C. W. 2020. Robotics utilization for healthcare digitization in global COVID-19 management. International Journal of Environmental Research and Public Health 17(11):3819.
  13. Kim, K. K., Choi, J. S., Kim, J. S., Lee, W. S., Kim, S. K., and Kwak, S .N. 2021. Development of AIDBOT, a Self-Driving Quarantine Robot in Korea. Korea Robotics Society Review 18(2):3-10.
  14. Kim, S. H. and Cho, Y. J. 2021. Development Trends and Use Cases of Medical Service Robots: Focused on Logistics, Guidance, and Drug Processing Robots. Journal of Digital Convergence 19(2):523:529. https://doi.org/10.14400/JDC.2021.19.2.523
  15. Kim, Y. S. 2016. Literature Review on the Service Quality in KSQM for 50 years. Journal of Korean Society for Quality Management 44(2): 265-274.
  16. Moon, J. E. and Cho, Y. J. 2021. Healthcare Robots in the New Normal era; Outlook for the Post-Corona era. Journal of Digital Convergence 19(2):509-514.
  17. NKsystems Portable Isolation Bed under Negative Pressure CID-2000S, Specifications. Available from: http://nksystem.sixcore.jp/en/t/e_cib-2000s.htm.
  18. No, G. C. 2021. Managing COVID-19 in Healthcare Facilities - Air Pollution and Infection Control in Healthcare Facilities. Air Cleaning Technology 34(2):1-13.
  19. Park, B. H., Lee, D. W., and Kim, Y. S. 2005. Measuring Service Quality of Management Consulting. Journal of Korean Society for Quality Management 33(3):47-58.
  20. Saaty, T. 1980. The analytic hierarchy process: planning, priorisetting, resource allocation [M]. New York.
  21. Tang, Q. F. and Lee, H. S. 2019. The Effect of Airport Service Robot Service Quality on Airport Image. Journal of the Aviation Management Society of Korea 17(4):79-93. https://doi.org/10.30529/amsok.2019.17.4.005
  22. TWINNY Target follow product, TarGO100. Available from: https://twinny.ai/targo#none.
  23. You, H. J. and Do, J. H. 2019. Healthcare service robot. KISTEP.