Host: The Japanese Society of Toxicology
Name : The 47th Annual Meeting of the Japanese Society of Toxicology
Date : 2020 -
In the late years, the development of the digital technology such as ICT and IoT accelerates remarkably. “Artificial intelligence (AI)” is also employed to make our work more productive in various fields. The AI should be introduced to help our work more supportively in medical site in near future. In the hospital pharmacy point of view, several tasks such as drug dispensing and mixing of chemotherapeutic drugs have been already automated, and then those automated devices should be optimized by using AI. The AI can be useful for organizing and characterizing data that use to take enormous time and money.
We, department of pharmacy in Okayama university hospital, developed drug information-organizing-system, called “AI-PHARMA”, that make organizing and sharing of drug information more efficient. This system adopts natural language processing-AI. It realized sharing of drug information and pharmacists’ experiences and knowledge not only in a hospital but also between hospitals. That worked amazingly for taking knowledge of “real pharmacists’ needs” about drug information.
In this session, I would like to share case examples about drug information, especially about safety- and toxicity-related information, that pharmacists in medical site have been really looking for.