[S31] "Medical big data × AI × Clinical Practice" data scientists contribute to medical development

Sun. Mar 27, 2022 1:30 PM - 3:30 PM [Room R] Shirotori Hall (South) (Bldg. 4: 1F)

Organizer: Kenji Momo (Sch. Pharm., Showa Univ.), Yoh Takekuma (Dep of Pharmacy, Hokkaido Univ. Hosp)

The Digital Agency, has been established on September 1, 2021, aiming for reforming the culture of administration through digitalization in Japan. People are expecting for utilization for big data such as "Social Security and Tax Number System" adopted by the Japanese government. In clinical setting, various data relating medication, diagnosing, examination etc. are accumulating day by day. However, utilization and social implementation using medical big data are not sufficient. Background for these, 1) insufficiency for the platform of discussing about medical big data by researchers and clinicians including pharmacists, 2) insufficiency for discuss on How to utilize medical big data to social implementation and 3) insufficiency for introduction of examples using medical big data to clinical setting. Recently, analysis for medical big data are growing widely such as from simple statistical data to analysis using artificial intelligence (AI).
In this session, we will show the key word for "medical big data × AI × clinical setting" and discuss by data scientists with specific case trying by 5 speakers.

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趣旨説明：武隈洋（北大病院薬） (1:30 PM - 1:35 PM)

1:35 PM - 1:55 PM

[S31-1] A novel approach to analyze the factors affecting adverse drug reactions by combination of electronic medical record database and machine learning method

○Shungo Imai¹ (1. Fac of Pharmaceutical Sci, Hokkaido Univ)

1:55 PM - 2:15 PM

[S31-2] Literacy for appropriate use of medical big data and artificial intelligence

○Takamasa Sakai¹ (1. Meijo Univ.)

2:15 PM - 2:35 PM

[S31-3] Utilization of big data centered on administrative claims database

○Satoshi Yokoyama¹, Kouichi Hosomi¹ (1. Kindai Univ.)

2:35 PM - 2:55 PM

[S31-4] Development of Medical Big Data Analysis System by Utilizing Artificial Intelligence Analytics in the Field of Clinical Pharmacy

○Yoshihiro Kiryu¹ (1. Dept. Pharm. Hokuetsu Hosp.)

2:55 PM - 3:15 PM

[S31-5] Survey on drug development candidate at clinical settings using a large claims database in Japan

○Kenji Momo¹, Mami Kobayashi^1,2, Tadanori Sasaki² (1. Sch. Pharm., Showa Univ., 2. Dept. Pharmacy, Showa Univ. Hosp.)

パネルディスカッション：［司会］百賢二（昭和大薬）、武隈洋（北大病院薬） (3:15 PM - 3:30 PM)

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