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Related Experiment Video

Updated: Jun 24, 2026

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model
08:15

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model

Published on: June 6, 2025

A Network Visualization Query System for Multi-Drug Compatibility Based on a WeChat Mini Program: A Preliminary

Jianhui Yang1, Xiaoqing Huang1, Shurong Wu1

  • 1Department of Pharmacy, Women and Children's Hospital, School of Medicine, Xiamen University, No.10, Zhenhai Road, Siming District, Xiamen, Xiamen, CN.

JMIR Formative Research
|June 23, 2026
PubMed
Summary

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This summary is machine-generated.

This study developed a novel WeChat Mini Program for intravenous (IV) drug compatibility queries, significantly reducing clinician task times. The network visualization system enhances efficiency and understanding of complex drug interactions, though clinical validation is pending.

Area of Science:

  • Medical Informatics
  • Clinical Pharmacy
  • Human-Computer Interaction

Background:

  • Intravenous (IV) drug incompatibility poses a significant medication safety risk, especially with complex regimens.
  • Traditional text-based drug compatibility queries are inefficient and increase clinician cognitive load.
  • Network visualization offers potential for improved drug compatibility querying but is underexplored.

Purpose of the Study:

  • To design, develop, and evaluate a novel drug compatibility query system using a WeChat Mini Program.
  • To integrate diverse data sources and utilize network visualization for complex compatibility relationships.
  • To assess the system's impact on clinical efficiency and user experience.

Main Methods:

  • A preliminary crossover usability and efficiency evaluation was performed.

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Last Updated: Jun 24, 2026

Network Pharmacology and Validation of the Antidepressant Mechanisms of Qiangzhifang in a Chronic Restraint Stress-induced Depression Rat Model
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Published on: June 6, 2025

  • A drug compatibility knowledge base was constructed from authoritative sources.
  • A system evaluation involved 36 pharmacists, 6 physicians, and 5 nurses, comparing task completion times against print resources and assessing quality via MARS and user feedback.

    • Main Results:

    • The novel system significantly reduced task completion times across scenarios (median savings from 2.85 to 31.2 minutes).
    • The system achieved a high mean Mobile Application Rating Scale (MARS) score of 3.88, with Functionality scoring highest (4.21).
    • User feedback highlighted praise for efficiency and design, alongside a need for transparent data sources to build trust.

    Conclusions:

    • A network visualization-based query system shows promise for improving the efficiency of multi-drug compatibility queries.
    • The system may reduce cognitive load and provide an intuitive understanding of drug relationships.
    • Formal clinical accuracy validation is essential before bedside implementation.