DOI QR코드

DOI QR Code

텍스트 네트워크 분석을 통한 환자중앙감시시스템의 사용적합성 평가를 위한 위해요인 분석

Hazard Analysis for Usability Evaluation of Central Monitoring System through Text Network Analysis

  • 정지용 (연세대학교 대학원 의료기기산업학과 ) ;
  • 장원석 (연세대학교 대학원 의료기기산업학과 )
  • Ji-Yong Chung (Department of Medical Device Engineering and Management, Yonsei University College of Medicine) ;
  • Wonseuk Jang (Department of Medical Device Engineering and Management, Yonsei University College of Medicine)
  • 투고 : 2024.08.05
  • 심사 : 2024.08.19
  • 발행 : 2024.08.31

초록

In this study, text network analysis was performed using PMS(Post-Marketing Surveillance) data collected from the FDA's MAUDE(Manufacturer and User Facility Device Experience) database to evaluate the usability of the central monitoring system. Based on the data reported from January 1, 2021 to June 30, 2023, keywords related to the central monitoring system were extracted and visualized with a text network. By analyzing the eigenvector centrality of text network, we identified hazards and types of hazardous situations related to usability of the central monitoring system. Eigenvector centrality was chosen because it is relatively more accurate than other centralities. In addition, we derived an appropriate use scenario to evaluate the usability of the central monitoring system. The research results provide more realistic and valuable insights through data derived based on actual adverse event cases, and are expected to contribute to improving safety and reliability by identifying user requirements for improved usability and reducing use errors in the future.

키워드

과제정보

본 연구는 정부(과학기술정보통신부, 산업통상자원부, 보건복지부, 식품의약품안전처)의 재원으로 범부처전주기의료기기연구개발사업단의 지원을 받아 수행된 연구임(과제고유번호 : 1711174540, RS-2020-KD000030).

참고문헌

  1. Poncette AS, Mosch LK, Stablo L, Spies C, Schieler M, Weber-Carstens S, Feufel MA, Balzer F. A Remote Patient-Monitoring System for Intensive Care Medicine: Mixed Methods Human-Centered Design and Usability Evaluation. JMIR Human Factors. 2022;9(1):e30655. 
  2. Garzotto F, Comoretto RI, Ostermann M, Nalesso F, Gregori D, Bonavina MG, Zanardo G, Meneghesso G. Preventing infectious diseases in Intensive Care Unit by medical devices remote control: Lessons from COVID-19. Journal of Critical Care. 2021;61:119-124.  https://doi.org/10.1016/j.jcrc.2020.10.014
  3. Chung JY, Kim YR, Jang WS. Summative Usability Assessment of Software for Ventilator Central Monitoring System. Journal of Biomedical Engineering Research. 2023;44(6):363-376.  https://doi.org/10.9718/JBER.2023.44.6.363
  4. Miclaus T, Valla V, Koukoura A, Nielsen AA, Dahlerup B, Tsianos G, Vassiliadis E. Impact of Design on Medical Device Safety. Therapeutic Innovation & Regulatory Science. 2020;54(4):839-849.  https://doi.org/10.1007/s43441-019-00022-4
  5. Maqbool B, Heraold S. Potential effectiveness and efficiency issues in usability evaluation within digital health: A systematic literature review. Journal of System and Software. 2024;208:111881. 
  6. ISO. ISO 14971: Medical devices - Application of risk management to medical devices. Geneva: International Organization for Standardization; 2019. 
  7. Camilleri E, Miah SJ. Evaluating latent content within unstructured text: an analytical methodology based on a temporal network of associated topics. Journal of Big Data. 2021;8(1):124. 
  8. Celardo L, Everett MG. Network text analysis: A two-way classification approach. International Journal of Information Management. 2020;51:102009. 
  9. Oner B, Hakli O, Zengul FD. A text mining and network analysis of topics and trends in major nursing research journals. Nursing Open. 2024;11(1):e2050. 
  10. Tatro ES, Adler DG. Device failures and patient-related adverse events associated with endoscopic variceal ligation devices a MAUDE database analysis. iGIE. 2023;2(3):319-323.  https://doi.org/10.1016/j.igie.2023.05.002
  11. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfcfr/CFRSearch.cfm?CFRPart=870, accessed on Aug. 3, 2023. 
  12. Ishfaq U, Khan HU, Iqbal S. Identifying the influential nodes in complex social networks using centrality-based approach. Journal of King Saud University-Computer and Information Sciences. 2022;34(10):9376-9392.  https://doi.org/10.1016/j.jksuci.2022.09.016
  13. Janyasupab P, Suratancee A, Plaimas K. Network diffusion with centrality measures to identify disease-related genes. Mathematical Biosciences and Engineering. 2021;18(3):2909-2929.  https://doi.org/10.3934/mbe.2021147
  14. Frost HR. Identifying vital nodes in hypernetwork based on local centrality. Applied Network Science. 2023;9(1):14. 
  15. https://www.accessdata.fda.gov/scripts/cdrh/cfdocs/cfmaude/results.cfm, accessed on Aug. 3, 2023. 
  16. Porwal MH, Kumar D, Thalner S, Hedayat HS, Sinson GP. Analysis of reported adverse events of pipeline stents for intracranial aneurysms using the FDA MAUDE database. Journal of Cerebrovascular and Endovascular Neurosurgery. 2023;25(3):275. 
  17. Yan C, Zhang X, Gao C, Wilfong E, Casey J, France D, Gong Y, Patel M, Malin B, Chen Y. Collaboration Structure in COVID-19 Critical Care: Retrospective Network Analysis Study. JMIR human factors. 2021;8(1):e25724. 
  18. Kumar N, Mukhtar M. Ranking Plant Network Nodes Based on Their Centrality Measures. Entropy. 2023;25(4):676. 
  19. AnalystView Market Insights. Analysis Market Insights. Patient Monitoring Devices Market with COVID-19 Impact Analysis, By Product, By Type, By End use, By Country, and By Region - Industry Analysis, Market Size, Market Share & Forecast from 2023-2030. 2023. 
  20. Salah M, Halbusi HA, Abdelfattah F. May the force of text data analysis be with you : Unleashing the power of generative AI for social psychology research. Computers in Human Behavior:Artificial Humans. 2023;1(2):100006. 
  21. Chen D, Su H. Identification of Influential Nodes in Complex Networks With Degree and Average Neighbor Degree. IEEE Journal on Emerging and Selected Topics in Circuits and Systems. 2023;13(3):734-742. https://doi.org/10.1109/JETCAS.2023.3283680