AI-Powered Automation in Healthcare: Improving Patient Care and Operational Efficiency

Authors: Vidushi Sharma

DOI: https://doi.org/10.5281/zenodo.14785680

Short DOI: https://doi.org/g83swm

Country: USA

Full-text Research PDF File:   View   |   Download

Abstract: Artificial Intelligence (AI) and automation technologies have become pivotal in transforming the healthcare sector, offering innovative solutions that enhance both patient care and operational efficiency. The integration of AI-powered automation can address several critical challenges faced by modern healthcare systems, including rising patient demand, resource limitations, and the increasing complexity of healthcare management. AI-driven systems provide opportunities to automate routine tasks, improve diagnostic accuracy, optimize clinical workflows, and deliver personalized treatment plans based on data analysis. This paper explores the diverse applications of AI-powered automation in healthcare, with a specific focus on its impact on patient care and healthcare operations. Key applications include AI-enhanced diagnostic tools that assist in disease detection, predictive analytics for patient monitoring, and robotic process automation (RPA) for administrative tasks. By automating routine processes, AI enables healthcare professionals to focus more on direct patient care, which can ultimately lead to better outcomes. Furthermore, the paper examines the operational benefits of AI in reducing costs, improving resource allocation, and addressing inefficiencies in administrative processes such as scheduling, billing, and patient communications. However, the adoption of AI-powered automation in healthcare is not without challenges like data privacy, algorithmic bias, and integrating technologies with existing healthcare infrastructures. Ethical considerations related to AI’s role in healthcare are also discussed. Finally, the paper evaluates the prospects of AI-powered automation in healthcare, emphasizing the need for continued innovation, regulatory frameworks, and interdisciplinary collaboration to unlock the full potential of AI while ensuring equitable and safe healthcare delivery.

Keywords: Artificial Intelligence (AI), Healthcare, Automation, Patient Care, Operational Efficiency, Machine Learning, Healthcare Technology, CDS (Clinical Decision Support), Diagnostics,Robotic Process Automation (RPA)

Paper Id: 232085

Published On: 2019-08-13

Published In: Volume 7, Issue 4, July-August 2019

Cite This: AI-Powered Automation in Healthcare: Improving Patient Care and Operational Efficiency - Vidushi Sharma - IJIRMPS Volume 7, Issue 4, July-August 2019. DOI 10.5281/zenodo.14785680

Share this