Public Research Institutions in Medical and Life Sciences Visualize Policy Discussion Points by Cross-Analyzing Reports and Evaluations - Pioneering Use Case of Cross-Sectional Analysis of Research Outcomes Released [AI IPGenius]

LegalTech Inc. (Minato-ku, Tokyo; Representative Director: Tomoyuki Hirai) has launched "AI IPGenius on IDX," an intellectual assetization knowledge base that supports policy consideration through cross-sectional analysis of research outcome documents, targeting public research institutions in the medical and life sciences field.

It cross-sectionally analyzes past research outcome reports and evaluation documents, organizes common issues and discussion themes, and systematically arranges and visualizes them in a format that can be referenced during policy consideration.

This case study is a pioneering example of the cross-sectional analysis of research outcomes in public research institutions.

Background

In public research institutions in the medical and life sciences field, numerous research projects are conducted based on national policies and research support programs. While the results of these projects are accumulated as reports and evaluation documents, they are often managed on an annual or project basis, making it difficult to comprehensively grasp past deliberation processes and discussion points across different periods.

For policy consideration and the design of future projects, it is necessary to refer not only to individual research outcomes but also to insights and evaluation results common across multiple projects. Against this background, there is a demand for a mechanism to systematically organize research outcome documents and utilize them in a reusable format.

Use Case: AI Cross-Analyzes Reports and Evaluation Documents to Organize Reference Knowledge for Policy Consideration

At a public research institution (name undisclosed) dealing with the medical and life sciences field, the following documents were input into AI IPGenius on IDX and utilized:

・Outcome reports of research projects

・Interim and ex-post evaluation reports

・Committee and study group materials

・Past survey and analysis reports

AI IPGenius on IDX cross-sectionally analyzed these unstructured data, identifying:

・Key discussion points for each research field

・Issues repeatedly mentioned in evaluation reports

・Common discussion themes across past projects

and other relevant information.

The person in charge utilized the organized information as a basis for reference materials and explanatory documents during policy consideration.

Furthermore, a system was established to link the extracted technology and research themes with MyTokkyo.Ai, allowing for the confirmation of the positioning of related research and technological trends.

About AI IPGenius on IDX