Leveraging Artificial Intelligence for Green Human Resource Management in Healthcare: A Paradigm Shift


Zahoor H.

The 5th International Cappadocia Scientific Research Congress, , 5-7 , November 5-7, 2023 / Cappadocia-Nevsehir,Turkey organized by IKSAD institute, Nevşehir, Türkiye, 5 - 07 Kasım 2023, ss.380-392

  • Yayın Türü: Bildiri / Tam Metin Bildiri
  • Basıldığı Şehir: Nevşehir
  • Basıldığı Ülke: Türkiye
  • Sayfa Sayıları: ss.380-392
  • İstanbul Gelişim Üniversitesi Adresli: Evet

Özet

This paper delves into the potential of Artificial Intelligence (AI) in revolutionizing Green Human Resource Management (HRM) within healthcare, aiming to balance high-quality patient care with environmental responsibility. The marriage of AI and Green HRM promises to transform healthcare operations, ushering in a sustainable paradigm. AI empowers healthcare units to optimize staffing and resource allocation efficiently, ensuring staff skills are maximized through precise role matching. AI's analytical prowess identifies process enhancements, leading to reduced waste and energy consumption, aligning seamlessly with Green HRM goals. Tailored training programs and virtual assistants foster continuous education, nurturing a culture of learning within the healthcare workforce. This integration brings about positive implications for patient care, elevating resource efficiency for improved experiences and heightened patient satisfaction. However, ethical AI implementation is paramount to maintain trust and integrity. Establishing clear AI adoption guidelines, conducting regular audits, and providing comprehensive training are crucial steps in mitigating biases and ethical concerns. In conclusion, AI in Green HRM represents a significant stride towards sustainable healthcare. By harnessing AI's capacities in staffing optimization, waste reduction, and employee development, healthcare units can enhance operational efficiency while contributing to a greener healthcare ecosystem.

 

Keywords: Artificial Intelligence, Green HRM, Healthcare, Ethical AI Implementation.