AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges - Summary - MDSpire

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges

  • By

  • Jennifer E Daly

  • Dursun Delen

  • Zheng Han

  • River Smith

  • Jacqueline Honerlaw

  • Kelly Cho

  • Bridget Bennett

  • Jennifer Sippel

  • May 4, 2026

  • 0 min

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Objective:

Emphasize the critical importance of addressing data access challenges.

Key Findings:
  • Include a finding related to the importance of explainable AI.
Interpretation:

Mention the need for a human-centered approach to implementation.

Limitations:
  • Expand to include the impact of bias in AI models.
Conclusion:

Reiterate the need for a multi-faceted approach to overcome barriers in data accessibility.

Original Source(s)

AI in Clinical Decision Support Systems: Promising Applications and Strategies for Managing Data Challenges

  • by Jennifer E Daly, Dursun Delen, Zheng Han, River Smith, Jacqueline Honerlaw, Kelly Cho, Bridget Bennett, Jennifer Sippel

  • May 4, 2026

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