Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework

Romagnoli, Alessia; Ferrara, Francesco; Langella, Roberto; Zovi, Andrea

doi:10.1007/s11095-024-03685-3

Pharm Res

2024

DOI: 10.1007/s11095-024-03685-3

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Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework

Alessia Romagnoli,

Francesco Ferrara,

Roberto Langella

et al.

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Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Guerra

2024

Ital J Med

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In hospital settings, effective risk management is critical to ensuring patient safety, regulatory compliance, and operational effectiveness. Conventional approaches to risk assessment and mitigation frequently rely on manual procedures and retroactive analysis, which might not be sufficient to recognize and respond to new risks as they arise. This study examines how artificial intelligence (AI) technologies can improve risk management procedures in healthcare facilities, fortifying patient safety precautions and guidelines while improving the standard of care overall. Hospitals can proactively identify and mitigate risks, optimize resource allocation, and improve clinical outcomes by utilizing AI-driven predictive analytics, natural language processing, and machine learning algorithms. The different applications of AI in risk management are discussed in this paper, along with opportunities, problems, and suggestions for their effective use in hospital settings.

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Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Guerra

2024

Ital J Med

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Healthcare Systems and Artificial Intelligence: Focus on Challenges and the International Regulatory Framework

Cited by 1 publication

References 42 publications

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

Enhancing risk management in hospitals: leveraging artificial intelligence for improved outcomes

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