Azra Care’s Large Language Model used artificial intelligence for workflow and automation to enhance patient relationships and relieve administrative workloads. Azra’s platform includes tools for preoperative preparation, data collection and addressing patient questions.
“By combining validated care pathways with machine learning, we are confident Azra’s platform will unburden our dedicated staff, elevate the quality of care we provide, and empower our patients on a seamless journey toward recovery,” Omar Rahman, MD, a surgeon with the practice, said in the release.
At the Becker’s 32nd Annual Meeting: The Business and Operations of ASCs, taking place October 29-31 in Chicago, ASC leaders, surgeons and healthcare executives will explore strategies to drive growth, enhance operational performance, navigate reimbursement challenges and prepare for the future of ambulatory surgery. Apply for complimentary registration now.
