AI-Driven Personalization of Patient Hospitality Services: Enhancing Comfort and Care in Healthcare Facilities

Artificial Intelligence (AI) has become a transformative force in healthcare, offering innovations not only in clinical treatments but also in patient hospitality services. The integration of AI into healthcare environments has the potential to personalize patient care, making the overall experience more comfortable, efficient, and responsive to individual needs. This paper explores the application of AI-driven personalization in patient hospitality services, highlighting its impact on patient comfort and satisfaction. By examining existing literature and case studies, the paper discusses how AI technologies can optimize room settings, tailor meal options, personalize communication, and enhance overall service delivery. The findings suggest that AI-driven personalization leads to improved patient satisfaction, better engagement, and ultimately, enhanced care outcomes.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-04-17
DOI
https://doi.org/10.5281/zenodo.15234201
Primary Topic
Prenatal Screening and Diagnostics
Type
article
Field-Weighted Citation Impact
0.00
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article

AI-Driven Personalization of Patient Hospitality Services: Enhancing Comfort and Care in Healthcare Facilities

Zenodo (CERN European Organization for Nuclear Research)
Prenatal Screening and Diagnostics
article

AI-Driven Personalization of Patient Hospitality Services: Enhancing Comfort and Care in Healthcare Facilities

article en

Abstract

Artificial Intelligence (AI) has become a transformative force in healthcare, offering innovations not only in clinical treatments but also in patient hospitality services. The integration of AI into healthcare environments has the potential to personalize patient care, making the overall experience more comfortable, efficient, and responsive to individual needs. This paper explores the application of AI-driven personalization in patient hospitality services, highlighting its impact on patient comfort and satisfaction. By examining existing literature and case studies, the paper discusses how AI technologies can optimize room settings, tailor meal options, personalize communication, and enhance overall service delivery. The findings suggest that AI-driven personalization leads to improved patient satisfaction, better engagement, and ultimately, enhanced care outcomes.

Zenodo (CERN European Organization for Nuclear Research)
Chaudhary Charan Singh Haryana Agricultural University (IN)
Openalex Percentile: Top 45%
Prenatal Screening and Diagnostics
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