1.Public opinion and demands on joint purchasing for health services.
Yunhee CHO ; Jiseon NA ; Miyoung JEON ; Hyejung CHANG
Journal of Korean Society of Medical Informatics 2002;8(4):69-79
As the rapid growth of internet users, the implementation of e-commerce and e-community are becoming popular also in health fields. Especially, the marketing strategy through joint purchasing for health services such as lasik, plastic surgery, etc. has increasingly been an important issue in clinics and health portals. Therefore, this study purposes to investigate the current status of joint purchasing for health services and estimate the demand on them. Since the university students use an internet most frequently and tend to purchase the goods and services actively through it, the intention for health services were targeted to university students. Only 29% of respondents acknowledged the joint purchasing system for health services. And the purchasing intention was higher in the university students who experienced the joint purchasing for general goods than those who did not experience. Non-surgery items such as stress clinic, dental scaling showed higher intention. Meanwhile when respondents purchase the health services through an internet, they consider the reliability of quality for health services at most. Considering this, if the legal regulations and ethical standards for reliable health services are systematically prepared, positive attitudes and behavioral intention on joint purchasing for health services will be increased and the market of joint purchasing will be enlarged.
Surveys and Questionnaires
;
Dental Clinics
;
Group Purchasing*
;
Health Services*
;
Humans
;
Intention
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Internet
;
Joints*
;
Keratomileusis, Laser In Situ
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Marketing
;
Public Opinion*
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Social Control, Formal
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Surgery, Plastic
2.Laboratory information management system for COVID-19 non-clinical efficacy trial data
Suhyeon YOON ; Hyuna NOH ; Heejin JIN ; Sungyoung LEE ; Soyul HAN ; Sung-Hee KIM ; Jiseon KIM ; Jung Seon SEO ; Jeong Jin KIM ; In Ho PARK ; Jooyeon OH ; Joon-Yong BAE ; Gee Eun LEE ; Sun-Je WOO ; Sun-Min SEO ; Na-Won KIM ; Youn Woo LEE ; Hui Jeong JANG ; Seung-Min HONG ; Se-Hee AN ; Kwang-Soo LYOO ; Minjoo YEOM ; Hanbyeul LEE ; Bud JUNG ; Sun-Woo YOON ; Jung-Ah KANG ; Sang-Hyuk SEOK ; Yu Jin LEE ; Seo Yeon KIM ; Young Been KIM ; Ji-Yeon HWANG ; Dain ON ; Soo-Yeon LIM ; Sol Pin KIM ; Ji Yun JANG ; Ho LEE ; Kyoungmi KIM ; Hyo-Jung LEE ; Hong Bin KIM ; Jun Won PARK ; Dae Gwin JEONG ; Daesub SONG ; Kang-Seuk CHOI ; Ho-Young LEE ; Yang-Kyu CHOI ; Jung-ah CHOI ; Manki SONG ; Man-Seong PARK ; Jun-Young SEO ; Ki Taek NAM ; Jeon-Soo SHIN ; Sungho WON ; Jun-Won YUN ; Je Kyung SEONG
Laboratory Animal Research 2022;38(2):119-127
Background:
As the number of large-scale studies involving multiple organizations producing data has steadily increased, an integrated system for a common interoperable format is needed. In response to the coronavirus disease 2019 (COVID-19) pandemic, a number of global efforts are underway to develop vaccines and therapeutics. We are therefore observing an explosion in the proliferation of COVID-19 data, and interoperability is highly requested in multiple institutions participating simultaneously in COVID-19 pandemic research.
Results:
In this study, a laboratory information management system (LIMS) approach has been adopted to systemically manage various COVID-19 non-clinical trial data, including mortality, clinical signs, body weight, body temperature, organ weights, viral titer (viral replication and viral RNA), and multiorgan histopathology, from multiple institutions based on a web interface. The main aim of the implemented system is to integrate, standardize, and organize data collected from laboratories in multiple institutes for COVID-19 non-clinical efficacy testings. Six animal biosafety level 3 institutions proved the feasibility of our system. Substantial benefits were shown by maximizing collaborative high-quality non-clinical research.
Conclusions
This LIMS platform can be used for future outbreaks, leading to accelerated medical product development through the systematic management of extensive data from non-clinical animal studies.