AI-Powered Strategies for Employee Retention in Healthcare: A Comprehensive Review

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Bharath SB, P Ponmurugan Panneer Selvam, V .P. Thirulogasundaram , R Maheshwari

Abstract

  One of the major challenges in the health sector is employee retention because labor is highly competitive globally, while healthcare professionals have special demands. The current review looks at the potential role of artificial intelligence in mitigating the challenge of employee retention in healthcare institutions. Complementary AI technologies include machine learning and deep learning, which have offered new ways to measure employee attrition by personalizing engagement strategies and enhancing performance management systems. AI, therefore, can recognize patterns and give actionable recommendations to enhance staff satisfaction and reduce turnover with inputs from extensive datasets. Despite the promising benefits, the implementation of the AI-based retention strategy is challenging due to high costs, data-privacy-related challenges, and cultural shifts within organizations. The review further explicates the future direction and emerging trends, trying to highlight the importance of collaborative research and ethics-related issues in AI deployment. It is in this respect that the results especially bear out the potential of AI to significantly transform health care work environments into sustainable and supportive ones. 

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