Decision Making Biomedical Support System

Kumari, V. Sheeja; Vijila, J.; Balu, Renjith

doi:10.1002/9781394242528.ch11

Artificial Intelligence‐Based System Models in Healthcare 2024

DOI: 10.1002/9781394242528.ch11

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Decision Making Biomedical Support System

V. Sheeja Kumari,

J. Vijila,

Renjith Balu

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2024

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Leveraging Machine Learning to Enhance Occupational Safety and Health in Hospital

Conica,

Browne,

Danyll

2024

SHMW

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Objective: This study focuses on utilizing Machine Learning (ML) approaches to improve Occupational Safety and Health (OSH) performance, involving the prediction and prevention of risks based on data.Methods: Analysis of a dataset of 550 OSH incident reports from Metax Cancer Hospital (2019–2023) was conducted using descriptive and inferential statistics. Machine Learning algorithms including decision trees, random forests, and support vector machines were used for prediction and evaluation of OSH results. The models were evaluated using various performance metrics such as accuracy, precision, recall, and AUC.Findings: The analysis made key observations on both workplace environmental factors, safety protocols, and incident occurrence. The ML models demonstrated high prediction performance, with random forests achieving the best accuracy in terms of the correct classification of OSH events. These findings highlight the promise of ML to improve the safety performance of hospitals.Novelty: We propose an original contribution of an ML integration process towards OSH improvement in the hospital ecosystem also characterized with complex safety challenges for which predictive analytics can yield substantial risk mitigation.Research Implications: The study proposes a spillover framework for establishing hospital safety intelligence systems that combines data-driven techniques with traditional OSH management structures. It also highlights the role of real-time predictive analytics in improving OSH outcomes. The study demonstrates the ability of ML to facilitate predictive risk assessment and improve safety.

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Leveraging Machine Learning to Enhance Occupational Safety and Health in Hospital

Conica,

Browne,

Danyll

2024

SHMW

View full text Add to dashboard Cite

show abstract

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Decision Making Biomedical Support System

Cited by 1 publication

References 24 publications

Leveraging Machine Learning to Enhance Occupational Safety and Health in Hospital

Leveraging Machine Learning to Enhance Occupational Safety and Health in Hospital

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