The Value of Applying Big Data Analytics in Health Supply Chain Management

Area of Science:

• Health Services Research
• Operations Management
• Information Science

Background:

• Healthcare supply chain management (HCSCMP) faces complexities impacting efficiency and patient care.
• The integration of big data analytics (BDA) presents opportunities for optimizing healthcare supply chains (HCSCs).
• Understanding the critical success factors for BDA implementation in HCSCMP is crucial.

Purpose of the Study:

• To evaluate the impact of big data analytics (BDA) on the performance of healthcare supply chain management (HCSCMP).
• To identify critical success factors for the effective implementation of BDA in HCSCs.
• To examine how BDA enhances real-time decision-making within HCSCs.

Main Methods:

• Systematic literature review analyzing 65 papers, with 39 studies included (2016-2023).
• Comprehensive search strategy to identify relevant research on BDA in HCSCMP.
• Analysis of primary research methods, noting a preference for literature reviews and questionnaires.

Main Results:

• BDA significantly improves HCSCMP efficiency, particularly in real-time decision-making and operational management.
• Key enablers for successful BDA adoption in healthcare supply chains were identified.
• Challenges associated with BDA implementation in HCSCMP require careful consideration and mitigation.

Conclusions:

• Big data analytics is a valuable tool for enhancing healthcare supply chain performance.
• Addressing critical success factors and challenges is essential for maximizing BDA benefits in HCSCMP.
• Further research may explore specific BDA applications and their quantifiable impact on HCSC outcomes.