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  4. Vol 4, Issue 2, 2023

Data-Driven Approaches to Hospital Capacity Planning and Management

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DOI: 10.23977/infkm.2023.040202 | Downloads: 16 | Views: 441

Author(s)

Safiye Turgay 1, Ömer Faruk Özçelik 1

Affiliation(s)

1 Department of Industrial Engineering, Sakarya University, Sakarya, Turkey

Corresponding Author

Safiye Turgay

ABSTRACT

Data-driven approaches to hospital capacity planning and management involve using historical and real-time data to identify patterns and trends in patient demand, resource utilization, and other key metrics. This information provides to develop predictive models, forecast patient demand, optimize staffing levels, and improve patient outcomes. Electronic health record systems and Internet of Things devices can also be used to monitor hospital operations in real-time and identify areas of inefficiency. Hospital capacity planning and management are critical to ensuring that healthcare facilities have enough resources to meet the needs of their patients. Data-driven approaches can be helpful in addressing these challenges by providing insights into patient demand, resource utilization, and other key metrics. This article discusses the various data-driven approaches to hospital capacity planning and management and their potential benefits. It also highlights the importance of having the right infrastructure and expertise effectively collect, analyse, and act on this data.

KEYWORDS

Healthcare System; Data Driven; Capacity Planning; Data Management; Simulation

CITE THIS PAPER

Safiye Turgay, Ömer Faruk Özçelik, Data-Driven Approaches to Hospital Capacity Planning and Management . Information and Knowledge Management (2023) Vol. 4: 6-14. DOI: http://dx.doi.org/10.23977/infkm.2023.040202.

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