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Optimisation of logistics operations in healthcare systems using predictive data analytics

Author

Listed:
  • Divya Agarwal
  • Aditi Sharma

Abstract

Healthcare organisations worldwide are under continuous pressure to provide the best treatment to patients yet keeping in mind the cost of treatment. Predictive analysis is an approach towards the efficient management of logistics where algorithms are performed on the data collected from electronic health records, wearable medical devices or from any trusted sources. Later, optimisation can be done by analysing the result. This would result in positive patient outcomes and ensure the smooth functioning of healthcare systems worldwide without putting extra pressure on them. Importance of predictive data analytics in healthcare and various ways to optimise patient outcomes are discussed in this paper.

Suggested Citation

  • Divya Agarwal & Aditi Sharma, 2024. "Optimisation of logistics operations in healthcare systems using predictive data analytics," International Journal of Logistics Systems and Management, Inderscience Enterprises Ltd, vol. 49(1), pages 82-97.
    • Handle: RePEc:ids:ijlsma:v:49:y:2024:i:1:p:82-97
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