Analyzing the Impact of AI-Powered Call Center Automation on Operational Efficiency in Healthcare

Abstract

This paper concerns how artificial intelligence is used to automate call center systems in the healthcare service and how this would impact operational outcomes. The major operational elements of health cloud, service cloud voice, and Einstein Co-Pilot for the health call centers are to improve services and reduce costs as the healthcare services are expanding. It shows how AI manages patient dialogue by adopting systematic procedures using CRM strategies in developing service platforms. The DevOps, coupled with the Agile/Safe procedure maintenance approach of the best practices, is efficient for maintaining continuous integration and optimization of these AI solutions. Another study touches on the practical improvements in a medical facility that enhance phone contact efficiency and the overall patient wait. The article says healthcare institutions face the challenges of system integration and implementation for these technologies that both touch on system integration and training and financial issues. AI automation can make healthcare call centers successful and sustainable by being used in a supervised manner to bring huge advantages to the work of the call centers.