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August 18, 2025The American Journal of Applied SciencesOpen Access

Leveraging artificial intelligence for strategic decision-making in healthcare organizations: a business it perspective

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Authors

KRKevin RoyMSMaham SaeedMRMohammad Motiur Rahman

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Overview

Analysis shows AI decreases management expenses by 30% and diagnosis errors by 45%, suggesting improved decision-making in healthcare organizations.

Key Points

  • AI tools lead to a 45% reduction in diagnosis errors, significantly enhancing care quality and safety.
  • By implementing machine learning and performance dashboards, healthcare organizations can adopt more effective strategies.
  • Secondary research and stakeholder interviews were utilized to assess the readiness of organizations to adopt AI technologies.
  • Adopting AI in healthcare has challenges, including poor data sharing and concerns over algorithm bias and acceptance of new technologies.

Cite This Study

Roy et al. (2025) studied this question.

synapsesocial.com/papers/68af33d5cf1dd9ea359e8956https://doi.org/10.37547/tajas/volume07issue08-07
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