system

A generative AI-based drug information system addresses patient anxiety and pharmacists' workload by providing personalized and interactive medication information, ensuring safe and effective drug use.

JP2026105395APending Publication Date: 2026-06-26SOFTBANK GROUP CORP

Patent Information

Authority / Receiving Office
JP · JP
Patent Type
Applications
Current Assignee / Owner
SOFTBANK GROUP CORP
Filing Date
2024-12-16
Publication Date
2026-06-26

AI Technical Summary

Technical Problem

In modern medical settings, patients, especially the elderly and seriously ill, face challenges in understanding medication efficacy and precautions due to insufficient consultations with pharmacists, leading to anxiety and incorrect administration, while pharmacists struggle to provide efficient and safe information to a large number of patients.

Method used

A drug information provision system using a generative AI model that includes input means for drug names and symptoms, a search means for retrieving information from a database, and an information provision means for personalized and interactive information delivery, along with evaluation means for assessing medication effectiveness.

Benefits of technology

The system provides accurate and personalized drug information to users, reducing anxiety and ensuring safe and appropriate medication use, while supporting pharmacists with the latest treatment guidelines, thus enhancing the efficiency and safety of medical care.

✦ Generated by Eureka AI based on patent content.

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Abstract

We provide the system. [Solution] To provide drug-related information, An input means for entering drug identification information, A search method that retrieves drug effects, precautions, and the latest research information by searching a data set based on the input drug identification information. Information provision means for providing acquired information to users in an interactive format, A reading method for securely obtaining drug information via digital code, A system that includes this.
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