Supply chain automation in healthcare: Transforming logistics for enhanced patient care

This article examines the transformative impact of automation technologies on healthcare supply chains. It explores the technological infrastructure supporting these advancements, including RFID systems, IoT sensors, and blockchain implementations, and their contributions to inventory accuracy, product traceability, and operational efficiency. The article analyzes operational applications such as automated inventory management, robotic order fulfillment, autonomous delivery robots, and temperature monitoring systems that have demonstrated substantial benefits in healthcare settings. Data-driven supply chain optimization through predictive analytics, AI, e-procurement platforms, and automated financial processes is presented with evidence of significant improvements in forecast accuracy, inventory reduction, and cost savings. The article addresses implementation challenges including initial investment barriers, workforce adaptation, regulatory compliance, system integration, and risk management, while offering strategic considerations for successful deployment. Finally, future directions are explored, including emerging technologies, blockchain applications, sustainability considerations, and implications for healthcare policy and standardization.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-30
DOI
https://doi.org/10.5281/zenodo.17222892
Primary Topic
Organizational and Employee Performance
Type
article
Field-Weighted Citation Impact
0.00
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article

Supply chain automation in healthcare: Transforming logistics for enhanced patient care

Zenodo (CERN European Organization for Nuclear Research)
Organizational and Employee Performance
article

Supply chain automation in healthcare: Transforming logistics for enhanced patient care

article en

Abstract

This article examines the transformative impact of automation technologies on healthcare supply chains. It explores the technological infrastructure supporting these advancements, including RFID systems, IoT sensors, and blockchain implementations, and their contributions to inventory accuracy, product traceability, and operational efficiency. The article analyzes operational applications such as automated inventory management, robotic order fulfillment, autonomous delivery robots, and temperature monitoring systems that have demonstrated substantial benefits in healthcare settings. Data-driven supply chain optimization through predictive analytics, AI, e-procurement platforms, and automated financial processes is presented with evidence of significant improvements in forecast accuracy, inventory reduction, and cost savings. The article addresses implementation challenges including initial investment barriers, workforce adaptation, regulatory compliance, system integration, and risk management, while offering strategic considerations for successful deployment. Finally, future directions are explored, including emerging technologies, blockchain applications, sustainability considerations, and implications for healthcare policy and standardization.

Zenodo (CERN European Organization for Nuclear Research)
Duke University (US)
Industry, innovation and infrastructure
Openalex Percentile: Top 26%
Organizational and Employee Performance
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