AI in healthcare: enhancing patient interaction and safety
Abstract
The primary objective of this research is to investigate the impact of artificial intelligence (AI) on the patient experience within healthcare services.
Methods: This study employs an integrative approach, drawing from modern institutional frameworks to explore the influence of AI on patient interactions within healthcare settings. Data were sourced from documents, utilizing databases such as LILACS and Medline to identify relevant healthcare literature. Five articles were selected from the gathered samples to illustrate the significance of adopting new technologies in enhancing patient experiences.
Results: The analysis highlights the importance of AI in transforming traditional healthcare management techniques, leading to improved patient safety and quality of care. Despite the limited number of studies on this topic, the selected articles underscore the potential benefits of incorporating AI-driven solutions in healthcare practices.
Citations
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Date
2024-05-01
Type
Article
Subject
Artificial Intelligence
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Citation
Wajiha Zafar1, Danish Khilani2, Hina Abbasi3, Giuseppe Giorgianni4, Dr. Nabila Noble5, Dr. Bency Babu6, Dr. Fidha Hussain7, Abdur Rehman8. (2024). AI IN HEALTHCARE: ENHANCING PATIENT INTERACTION AND SAFETY. Journal of Population Therapeutics and Clinical Pharmacology, v31(5), 158-173. https://doi.org/10.53555/jptcp.v31i5.6198