趣旨説明:百 賢二・武隈 洋 (3:45 PM - 3:50 PM)
Session information
Symposium
[S13] Quality improvement for clinical practice and advancing clinical research conducted by clinical pharmacists using for medical big data
Sat. Mar 27, 2021 3:45 PM - 5:45 PM [Room G] Oral Presentation G (Online)
Organizer: Momo Kenji (School of Pharmacy, Showa Univ.), Takekuma Yoh (Dep of Pharmacy, Hokkaido Univ Hosp.)
Recently, medical big data is used not only pharmaceutical companies and academics but also clinical pharmacists. These medical big data have threshold for clinical pharmacists because data-users need to deeply understand several limitations when they use medical big data. However, several questions exist to use medical big data such as “How to learn the analysis for medical big data?”, “How to obtain them?”, “How to etc.” when they firstly use or want to use the data. In this session, we show specific researches which conducted by clinical pharmacists who developed the real-world evidences using medical big data. In addition, we will show some tips, point to note etc.
Of course, we can learn medical big data from technical books; but most of researchers want to know basically questions such as “How to?”, “What did you struggle with?”, “How much does it cost to use medical big data?”. In this session, we expect that beginners researchers in this area will obtain basically knowledges in this area.
3:50 PM - 4:10 PM
[S13-1] Medical big data analysis using Machine Learning algorithm in the field of clinical pharmacy
○Yoshihiro Kiryu1 (1. Dept. Pharm. Hokuetsu Hosp.)
4:10 PM - 4:30 PM
○Kenji Momo1 (1. School of Pharmacy, Showa Univ.)
4:30 PM - 4:50 PM
○Yoh Takekuma1, Shungo Imai2, Mitsuru Sugawara1,2 (1. Dep of Pharmacy, Hokkaido Univ Hosp, 2. Fac of Pharmaceutical Sci, Hokkaido Univ)
4:50 PM - 5:10 PM
○Hiroyasu Sato1 (1. Obihiro Kosei General Hospital)
5:10 PM - 5:30 PM
○Daisuke Nango1, Tsuyoshi Sekizuka1, Makoto Goto2, Hirotoshi Echizen3 (1. Shin-Yurigaoka General Hospital, 2. INTAGE Healthcare Inc., 3. Meiji Pharmaceutical University)
パネルディスカッション (5:30 PM - 5:45 PM)