AI News NQ Analysis

System for Healthcare Professionals to Quickly Search and View Drug Safety Information Introduced to Kaken Pharmaceutical

NQ Score 56/100

Key facts

  • System for Healthcare Professionals to Quickly Search and View Drug Safety Information Introduced to Kaken Pharmaceutical
  • Hitachi Social Information Services Introduces Drug Safety Information Search System to Kaken Pharmaceutical.
  • Date: Sat Mar 28 2026 16:45:38 GMT+0900 (Japan Standard Time)

Direct answer

Hitachi Social Information Services Introduces Drug Safety Information Search System to Kaken Pharmaceutical.

Citation
System for Healthcare Professionals to Quickly Search and View Drug Safety Information Introduced to Kaken Pharmaceutical (Sat Mar 28 2026 16:45:38 GMT+0900 (Japan Standard Time)), PR TIMES
Source
PR TIMES
Date
Sat Mar 28 2026 16:45:38 GMT+0900 (Japan Standard Time)

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Frequently Asked Questions

Q: What company was responsible for building the new drug safety information system for Kaken Pharmaceutical?
A: Hitachi Social Information Services Co., Ltd. built the drug safety information system for Kaken Pharmaceutical Co., Ltd.
Q: What is the main objective of the new system introduced to Kaken Pharmaceutical for medical settings?
A: The main objective is to allow healthcare professionals to timely search and view critical drug safety information directly in medical settings.
Q: How does this new system improve the process for healthcare professionals to obtain drug safety information?
A: The system enables direct searching and viewing of adverse event information, reducing the previous need to contact pharmaceutical company MRs.
Q: What specific details about adverse events can healthcare professionals find using the new information system?
A: Healthcare professionals can find details such as the number of adverse event cases, their onset time, and the outcomes from the system.
Q: Which search functionalities are available in the drug safety information system implemented at Kaken Pharmaceutical?
A: The system offers extensive search conditions, including searching by product, adverse event, and patient information, with filtering via graphs.