Stakeholders’ Requirements for Artificial Intelligence for Healthcare in Korea

Healthcare Informatics Research

Mira Kang¹  Sungjun Hong¹  Kyunga Kim¹  Won Chul Cha¹  Kyung Hyun Lee¹  Ildong Lee¹  Jae Yong Yu¹  Yeong Chan Lee¹  Soo-Yong Shin¹  Yeoni Seo² 

[1] Department of Digital Health, Samsung Advanced Institute of Health Sciences & Technology (SAIHST), Sungkyunkwan University, Seoul, Korea;Department of International Health and Health Policy, Clinical & Public Health Convergence, Ewha Womans University, Seoul, Korea;

关键词: artificial intelligence;    stakeholder participation;    interview;    surveys and questionnaires;   

DOI  :  10.4258/hir.2022.28.2.143

来源: DOAJ

【 摘 要 】

Objectives The outlook of artificial intelligence for healthcare (AI4H) is promising. However, no studies have yet discussed the issues from the perspective of stakeholders in Korea. This research aimed to identify stakeholders’ requirements for AI4H to accelerate the business and research of AI4H. Methods We identified research funding trends from the Korean National Science and Technology Knowledge Information Service (NTIS) from 2015 and 2019 using “healthcare AI” and related keywords. Furthermore, we conducted an online survey with members of the Korean Society of Artificial Intelligence in Medicine to identify experts’ opinions regarding the development of AI4H. Finally, expert interviews were conducted with 13 experts in three areas (hospitals, industry, and academia). Results We found 160 related projects from the NTIS. The major data type was radiology images (59.4%). Dermatology-related diseases received the most funding, followed by pulmonary diseases. Based on the survey responses, radiology images (23.9%) were the most demanding data type. Over half of the solutions were related to diagnosis (33.3%) or prognosis prediction (31%). In the expert interviews, all experts mentioned healthcare data for AI solutions as a major issue. Experts in the industrial field mainly mentioned regulations, practical efficacy evaluation, and data accessibility. Conclusions We identified technology, regulatory, and data issues for practical AI4H applications from the perspectives of stakeholders in hospitals, industry, and academia in Korea. We found issues and requirements, including regulations, data utilization, reimbursement, and human resource development, that should be addressed to promote further research in AI4H.

【 授权许可】

Unknown