Applied Intelligence and Computing
Assessing the Role of AI in Streamlining Workflow for Healthcare
Authors: Ashween Ganesh, Murtuza Ali Mohammed, Vazeer Ali Mohammed and J. Logeshwaran
Publishing Date: 01-01-2025
ISBN: 978-81-955020-9-7
Abstract
The creation of synthetic intelligence (AI) in the workflow of clinic administrators can revolutionize the industry. AI can be used to streamline obligations such as information series, analysis, and management, which simplifies the operational strategies of the clinic environment. It, in flip, enhances the performance of operations, reduces operational fees, and consequences in improved performance. The primary advantages of AI in the healthcare putting consist of the elimination of manual duties, quicker and more correct information analysis, and advanced scientific protection. Automation of records collection tasks can lessen information access errors in addition to improving the accuracy and pace of affected person and coverage records retrieval. Additionally, AI can help improve the accuracy of facts analysis, which in flip improves choice-making and diagnostics for both scientific practitioners and the administrative body of workers. Another advantage of implementing AI in hospitals is the improvement of affected persons’ safety. AI may be used to investigate the affected person’s histories of individuals and alert directors when patient care fails to fulfill requirements. Additionally, AI may be used to provide signals for medications that are being administered inappropriately. It permits better-affected person monitoring and allows directors to make well-timed and informed interventions. Finally, AI can be used as a tool to streamline administrative responsibilities, inclusive of coping with billing and insurance claims.
Keywords
Intelligence, Individuals, Requirements, Administrative, Responsibilities.
Cite as
Ashween Ganesh, Murtuza Ali Mohammed, Vazeer Ali Mohammed and J. Logeshwaran, "Assessing the Role of AI in Streamlining Workflow for Healthcare", In: Mukesh Saraswat and Rajani Kumari (eds), Applied Intelligence and Computing, SCRS, India, 2025, pp. 283-292. https://doi.org/10.56155/978-81-955020-9-7-27