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비전 기반의 의료기관 재사용 수술도구 추적관리 모델

Vision-based Medical Institution Reusable Surgical Tool Tracking Management Model

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키워드

주제분류학제간연구

초록

국제의료기기규제당국자포럼은 환자에게 사용한 의료기구는 이력 관리를 하여야 한다고 규정하였으며, 미국 FDA는 재사용의료기구에 대하여 기구 표면에 UDI를 QR 또는 Data Matrix 등을 활용하여 직접 표기하여야 한다고 규정하고 있다. 다수의 병원 실무자들의 인터뷰, 워크숍을 통해 분석한 결과 이런 규정과 권장 사항을 이행하는 데 있어서 가장 큰 문제는 재사용 도구에 각인하는 것과 각인한 부분이 녹이 슬지 않는 것, 그리고 각인한 의료기구들을 업무에 가중없이, 쉽게 인식하는 것이다. 본 연구는 의료기관 재사용도 구의 이력 관리를 목적으로 하였다. 연구의 초점은 Data Metrix 방식으로 각인된 다수의 재사용 도구들에 대해 이미지 스캔 방식 중 Area scan 방식으로 인식율 99.99%의 결과값을 도출하는데 있다. Unique한 값이 각인된 다수의 의료 도구를 영상처리 기술로 간편하게 인식하는 시스템을 구현함으로써 해결할 수 있도록 하였다. 이미지 스캔 방식의 최초 시도 및 구현을 통해 의료기관에서는 도구 사용 이력에 대한 추적, 재사용 여부에 대한 판단을 통해 감염사고 예방에 활용할 수 있으며, 감염사고 발생 시 감염 요인을 추적하고 조치하는 데 크게 도움을 줄 수 있을 것이다. 또한, 재사용 도구의 개별관리가 가능함으로서, 의료기관의 자산관리 효율성에 기여하는 효과를 기대한다.

Abstract

The International Forum of Medical Device Regulators stipulates that medical devices used on patients must have history management. the U.S. FDA stipulates that UDI must be directly marked on the surface of reusable medical devices using QR or Data Matrix. As a result of analysis through interviews and workshops with numerous hospital workers, the biggest problems in implementing these regulations and recommendations are engraving on reusable tools, preventing the engraved parts from rusting, and ensuring that engraved medical devices are easily used for work and is recognized without any burden. The purpose of this study was to manage the history of reusable tools in medical institutions. The focus of the study is to derive a recognition rate of 99.99% using the area scan method among image scan methods for a number of reusable tools imprinted in the data matrix method. This problem was solved by implementing a system that easily recognizes multiple medical tools with unique values ​​engraved on them using image processing technology. Through the first attempt and implementation of the image scanning method, medical institutions can use it to prevent infection accidents by tracking tool use history and determining whether to reuse it. In the event of an infection incident, it will be of great help in tracking the cause of infection and taking action. In addition, it is expected that individual management of reusable tools will contribute to the efficiency of asset management in medical institutions.

참고문헌 (15)

  1. A. Pearson, "Historical and changing epidemiology of healthcare-associated infections", Journal of Hospital Infection, 73(4), pp.296~304 (2009)
  2. P. Gastmeier, "Reproducibility of the surveillance effect to decrease nosocomial infection rates", Infection Control & Hospital Epidemiology, 30(10), pp.993~999 (2009)
  3. J. Y. Choi, "Trends in the incidence rate of device-associated infections in intensive care units after the establishment of the korean nosocomial infections surveillance system", Journal of Hospital Infection, 9(1), pp.28~34 (2015)
  4. R. E. Dixon, "Control of health-careassociated infections 1961-2011", MMWR Suppl, 60(4), pp.58~63 (2011)
  5. S. Takaya, "Surveillance systems for healthcare-associated infection in high and upper-middle income countries : A scoping review", Journal of Infection and Chemotherapy, 26(5), pp.429~437 (2020)
  6. Y. H. Choi, "Prospective nationwide healthcare-associated infection surveillance system in South Korea", Journal Korean Medical Association, 61(1), pp.21~25 (2018)
  7. S. Y. Jeong, "Knowledge and Beliefs about hand hygiene among hospital nurses", Korean Jounal of Occupational Health Nursing, 22(3), pp.198~207 (2013)
  8. R. E. Sarginson, "Infection in prolonged pediatric critical illness : A prospective four-year study based on knowledge of the carrier state", Critical care medicine, 32(3), pp.839~847 (2004)
  9. R. Y. Zhong, "Big data analytics for physical internet-based intelligent manufacturing shop floors", International journal of production research, 55(9), pp.2610~2621 (2017)
  10. G. M. Gaukler, "Item‐ level RFID in the retail supply chain", Production and Operations Management, 16(1), pp.65~76 (2007)
  11. C. Zhai, "A 2.4-GHz ISM RF and UWB hybrid RFID real-time locating system for industrial enterprise internet of things", Enterprise Information Systems, 11(6), pp.909~926 (2017)
  12. S. Amendola, "RFID technology for IoT-based personal healthcare in smart spaces", IEEE Internet of things journal, 1(2), pp.144~152 (2014)
  13. R. Trivedi, "Effectiveness of pull-based print advertising with QR codes : Role of consumer involvement and advertisement appeal", European Journal of Marketing, 54(1), pp.145~167 (2020)
  14. C. Watson, "Consumer attitudes towards mobile marketing in the smart phone era", International Journal of Information Management, 33(5), pp.840~849 (2013)
  15. L. Karrach, "Comparative study of data matrix codes localization and recognition methods", Journal of Imaging, 7(9), pp.163~180 (2021)

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