AI in workplace wellness initiatives involves the use of artificial intelligence tools to improve and customize employee health and wellness programs. These technologies evaluate data, forecast possible health hazards, and offer personalized suggestions to enhance employee well-being. AI can customize wellness initiatives, provide real-time assistance, monitor health information, and anticipate possible burnout. It can evaluate employee information to pinpoint health risks and predict future health issues (Mittal et al. in A review of the role of artificial intelligence in employee engagement. In Proceedings of the 2023 9th international conference on advanced computing and communication systems (ICACCS), vol 1. IEEE, pp. 2502–2506, 2023). For example, AI can detect indicators of stress or burnout by examining work habits, productivity rates, and biometric information. This enables employers to act proactively and deliver support before issues worsen. AI algorithms evaluate employee information (e.g., health records, lifestyle choices, social media usage) to develop personalized wellness strategies. This may involve tailored workout programs, dietary strategies, and methods for managing stress. Platforms powered by AI can recommend activities and resources tailored to personal preferences and requirements.

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AI in Workplace Wellness Programs

  • Soumi Majumder,
  • Nilanjan Dey

摘要

AI in workplace wellness initiatives involves the use of artificial intelligence tools to improve and customize employee health and wellness programs. These technologies evaluate data, forecast possible health hazards, and offer personalized suggestions to enhance employee well-being. AI can customize wellness initiatives, provide real-time assistance, monitor health information, and anticipate possible burnout. It can evaluate employee information to pinpoint health risks and predict future health issues (Mittal et al. in A review of the role of artificial intelligence in employee engagement. In Proceedings of the 2023 9th international conference on advanced computing and communication systems (ICACCS), vol 1. IEEE, pp. 2502–2506, 2023). For example, AI can detect indicators of stress or burnout by examining work habits, productivity rates, and biometric information. This enables employers to act proactively and deliver support before issues worsen. AI algorithms evaluate employee information (e.g., health records, lifestyle choices, social media usage) to develop personalized wellness strategies. This may involve tailored workout programs, dietary strategies, and methods for managing stress. Platforms powered by AI can recommend activities and resources tailored to personal preferences and requirements.