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Introduction of an Integrated Pathology Image Management, Artificial Intelligence, and Reporting System
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Status of AI-Enabled Clinical Decision Support Systems Implementations in China.

Mengting Ji1, Xiaoyun Chen2, Georgi Z Genchev3,4

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AI-enabled Clinical Decision Support Systems (AI+CDSSs) are emerging in Chinese hospitals, with 23.75% implemented. Professionals acknowledge AI+CDSSs benefits and challenges, focusing on system integration and data quality.

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Area of Science:

  • Health Informatics
  • Artificial Intelligence in Medicine
  • Clinical Decision Support

Background:

  • AI-enabled Clinical Decision Support Systems (AI+CDSSs) show great promise for advancing healthcare.
  • Significant investment in AI+CDSSs development necessitates understanding their real-world implementation.
  • Assessing the current status of AI+CDSSs in clinical practice is crucial.

Purpose of the Study:

  • To evaluate the current implementation status of AI+CDSSs in Chinese hospitals.
  • To identify concerns related to the current and future implementation of AI+CDSSs.

Main Methods:

  • A survey of 160 tertiary hospitals across six Chinese provinces.
  • Descriptive analysis, Fisher exact test, and Mann-Whitney U-test were employed.
  • Statistical analysis to compare implemented and non-implemented hospitals.

Main Results:

  • 23.75% of surveyed hospitals (38/160) had implemented AI+CDSSs.
  • Significant differences observed in hospital grade, scale, and patient volume between implemented and non-implemented facilities.
  • Most respondents (81.58%) reported neutral to satisfied with AI+CDSSs, citing system function, data quality, and bias as key concerns.

Conclusions:

  • AI+CDSSs are not yet widespread in Chinese clinical settings.
  • Healthcare professionals recognize both the potential advantages and existing challenges of in-hospital AI+CDSSs.
  • Further development and integration strategies are needed to address identified concerns.