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Authors
Lee, Seunghee https://orcid.org/0000-0002-2273-0915
Shin, Jeongwon
Kim, Hyeon Seong
Lee, Min Je
Yoon, Jung Min
Lee, Sohee
Kim, Yongsuk
Kim, Jong-Yeup https://orcid.org/0000-0003-1230-9307
Lee, Suehyun https://orcid.org/0000-0003-0651-6481
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Funding
Funding for this research was provided by:
Ministry of Health & Welfare, Republic of Korea (HI17C2412)
Ministry of Science and ICT (MSIT), Republic of Korea (A0105-20-1008)
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Article History
Accepted: 21 September 2021
First Online: 12 November 2021
Declarations
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: All authors contributed to the manuscript conception and design. All authors read and approved the final manuscript. Conceptualization, JS, JY, YK, SL and J-YK; Funding acquisition, J-YK; Data curation, Formal analysis and Methodology, JS, HSK and MJL; Project administration, SL and SL; Resources, JMY; Supervision, J-YK; Investigation, Writing—original draft, review & editing, SL, SL, SL and J-YK.
: This research was supported by the Korea Health Technology R&D Project through the Korea Health Industry Development Institute (KHIDI), funded by the Ministry of Health & Welfare, Republic of Korea (Grant number: HI17C2412) and by the National IT Industry Promotion Agency (NIPA) Grant funded by the Korean government (MSIT) (No. A0105-20-1008, Development of AI-based detection service for prescription errors).
: The dataset used and analyzed during this study are not publicly available due to privacy or ethical restrictions.
: The authors declare no conflict of interest.
: This study was approved by the Institutional Review Board (IRB) of KYUH (IRB number : 2019-06-013-009).
: Not applicable.
: Not applicable.
: Not applicable.
