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소프트웨어 의료기기 허가 ·심사를 위한 연구개발 프로세스 연계 요구사항 분석 및 가이드라인 개발

Development of a Guideline and Requirement Analysis Aligned with the R&D Process for Software as Medical Device Approval

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As the market size of medical devices grows and the spread of information technology, including artificial intelligence, interest in software medical devices is growing. Many researchers are seeking to commercialize their software R&D achievements through licensing, and regulatory agencies are responding to this demand by estab- lishing a separate group of reviews for software medical devices and managing review procedures based on the IEC 62304 standard. However, due to the differences between the process in the R&D and the medical device approval procedure, it is challenging for individual researchers to effectively respond to the approval process. This study pro- vides guidelines for the documentation that should be elicited for authorization review in the software R&D process. By analyzing the requirements of the U.S. Food and Drug Administration (FDA) and the Ministry of Food and Drug Safety (MFDS) for medical device approval, we provide guidelines for responding to both U.S. and Korean regulatory agencies. We facilitate the preparation of researchers for licensing by presenting the requisite licensing documents at each of the six stages of research and development.

Abstract

As the market size of medical devices grows and the spread of information technology, including artificial intelligence, interest in software medical devices is growing. Many researchers are seeking to commercialize their software R&D achievements through licensing, and regulatory agencies are responding to this demand by estab- lishing a separate group of reviews for software medical devices and managing review procedures based on the IEC 62304 standard. However, due to the differences between the process in the R&D and the medical device approval procedure, it is challenging for individual researchers to effectively respond to the approval process. This study pro- vides guidelines for the documentation that should be elicited for authorization review in the software R&D process. By analyzing the requirements of the U.S. Food and Drug Administration (FDA) and the Ministry of Food and Drug Safety (MFDS) for medical device approval, we provide guidelines for responding to both U.S. and Korean regulatory agencies. We facilitate the preparation of researchers for licensing by presenting the requisite licensing documents at each of the six stages of research and development.

참고문헌 (16)

  1. ASTI MARKET INSIGHT 65 : AI Medical and Healthcare, "Heo Y", Korea Institute of Science and Technology Information, ~ (2022)
  2. 2020 Newly Developed Medical Devices Outlook Analysis Report, "Food and Drug Safety Evaluation Institute", Food and Drug Safety Evaluation Institute, ~ (2020)
  3. 2022 Medical Device Approval Report, "Ministry of Food and Drug Safety", Ministry of Food and Drug Safety, ~ (2023)
  4. IEC 62304, Medical device software-Software life cycle processes, "IEC", International Electrotechnical Commission, ~ (2015)
  5. ISO, "ISO 14971, Medical devices-Application of risk management to medical devices", International Organization for Standardization, ~ (2019)
  6. Medical Device Software Approval, "Examination Guidelines (Civilian Guide)", Ministry of Food and Drug Safety, 2023
  7. Content of Premarket Submissions for Device Software Functions: Guidance for Industry and Food and Drug Administration Staff, "FDA", Food and Drug Administration, ~ (2023)
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  9. Supplementary casebook for preparing medical device software approval documents(civilian guide), "Ministry of Food and Drug Safety", Ministry of Food and Drug Safety, ~ (2023)
  10. Guidance on the Review and Approval of Artificial Intelligence(AI)-based Medical Devices, "Ministry of Food and Drug Safety", Ministry of Food and Drug Safety, ~ (2022)
  11. What are examples of Software as a Medical Device?, "FDA", Food and Drug Administration, ~ (2017)
  12. Software as a Medical Device(SaMD), "FDA", Food and Drug Administration, ~ (2018)
  13. Artificial Intelligence and Machine Learning in Software as a Medical Device, "FDA", Food and Drug Administration, ~ (2021)
  14. Lee YS, "Case Analysis and Outlook for Independent Software Medical Devices based on Artificial Intelligence Big Data", Journal of the Korea Contents Association, 23(11), pp.8~24 (2023)
  15. Kim DY, "Development and Application of Guidelines for Compliance with IEC 62304 International Standards for AI Medical Device Software", Journal of KIISE: Software and Applications, 48(1), pp.71~81 (2021)
  16. Kim DY, "Development Life Cycle-Based Association Analysis of Requirements for Risk Management of Medical Device Software", Journal of KIPS : Transactions on Software and Data Engineering, 6(12), pp.543~548 (2017)

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