Synergizing Ai and ERP for Predictive Supply Chain Management and Quality Assurance in Healthcare

  • - K
  • - S
  • - S
N/ACitations
Citations of this article
9Readers
Mendeley users who have this article in their library.

Abstract

This article explores the transformative potential of integrating Artificial Intelligence (AI) with Enterprise Resource Planning (ERP) systems in healthcare, focusing on applications in predictive supply chain management and quality assurance. The healthcare industry faces increasing pressure to improve efficiency while maintaining high-quality care, and AI-ERP integration offers a compelling solution. By combining ERP's comprehensive data management capabilities with AI's predictive and analytical power, healthcare organizations can enhance operational efficiency, improve decision-making, and ultimately deliver better patient outcomes. The article examines current implementations, case studies, and future projections to provide a comprehensive overview of how this technological synergy can help healthcare providers navigate the complex challenges of modern healthcare delivery, from optimizing inventory levels to ensuring regulatory compliance and proactive risk management.

Cite

CITATION STYLE

APA

-, K. R. K., -, S. C. T., & -, S. P. (2024). Synergizing Ai and ERP for Predictive Supply Chain Management and Quality Assurance in Healthcare. International Journal For Multidisciplinary Research, 6(5). https://doi.org/10.36948/ijfmr.2024.v06i05.29762

Register to see more suggestions

Mendeley helps you to discover research relevant for your work.

Already have an account?

Save time finding and organizing research with Mendeley

Sign up for free