News
[MDV / DATACK Free Webinar Part 3 on May 19, 2022] Introducing algorithm method to extrapolate nation-wide estimates from RWD statistics
- April 8, 2022
MDV (Chiyoda-ku, Tokyo, President: Hiroyuki Iwasaki) co-sponsors a free web seminar under the theme: “Introducing algorithm method to extrapolate nation-wide estimates from RWD statistics” *on May 19, 2022 (Thursday) with Datack, Inc. (CEO Dr. Hideki Ninomiya). If you would like to join, please apply from the URL below or the “QR-Code”.
*This event will be in Japanese only, thanks for your understanding.
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https://forms.gle/MCgTsVN98EQywsh16
<QR-CODE>
Event Outline
- Time
May 19, 2022, from 4:00pm to 4:40pm - Theme
Introducing algorithm method to extrapolate nation-wide estimates from RWD statistics - Main Speaker
Datack, Inc. CEO, Doctor, Data Scientist Dr. Hideki NINOMIYA, M.D. Ph.D - Targeted audience
This program is in priority designed for people working in the pharmaceutical, medical device, research institutes or health insurance industry. We would very much appreciate to restrict the audience to such specialists to achieve a constructive experience of Q&A for our audience. Thanks for your understanding. - Access
Web *More details to be provided separately upon registration completion - Fee
Free of charge
*This event will be in Japanese only, thanks for your understanding.
Content
When using RWD database, it is often challenging to generalize from the statistical analysis and extrapolate values to the entire population. Meanwhile, there is a growing need to grasp such large aggregate data to build a better understanding of healthcare.
To address such needs, MDV has developed a new function in its web tool MDV ANALYZER to allow the extrapolation of the results to the entire Japanese population. This function uses DPC data owned by MDV from a selection of medical institutions, medical receipt data from health insurance associations, and NDB (National Database) to calculate the values at national levels, such as number of patients or number of prescriptions.
During the webinar, we intend to present the algorithm that combines the various databases and produces numerical values by extrapolation. We will also share the challenges we have encountered in the development process and how we managed to implement this new tool using actual examples.
Speaker’s Curriculum
Dr. Hideki NINOMIYA
Practicing Physician / Data Scientist
Graduated from the Department of Medicine, Faculty of Medicine, University of Tokyo. Trained as a neurosurgeon, he engaged in online illness encyclopedia and telemedicine at Medley Co., Ltd. He became involved in data analysis and AI development for enterprises as a data scientist at 3idea Inc. He founded Datack, Inc. while analyzing medical data, as he became keenly aware of the importance of creating a medical database system. His work focuses on medical data collection system, an iPad interview system, and medical language processing technology. In “Medical 4.0”, he ranked among the top 30 doctors involved in medical innovation in Japan.