Title: Optimisation of logistics operations in healthcare systems using predictive data analytics

Authors: Divya Agarwal; Aditi Sharma

Addresses: Amity Institute of Applied Sciences, Amity University, Noida, India ' Amity Institute of Applied Sciences, Amity University, Noida, India

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.

Keywords: predictive data analytics; logistics; healthcare systems; supply chain; operations management; algorithms; optimisation; patient stay; hospital resources; analysis.

DOI: 10.1504/IJLSM.2024.141530

International Journal of Logistics Systems and Management, 2024 Vol.49 No.1, pp.82 - 97

Received: 02 Dec 2021
Accepted: 30 Jan 2022
Published online: 23 Sep 2024 *

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