Infusion Center Leverages Data Science To Overcome Scheduling Complexities

By Christine Kern, contributing writer Case study demonstrates a 30 percent reduction in patient wait times with data analytics platform. Healthcare Informatics reports data science is transforming operations at Stanford Health Care Infusion Centers, cutting patient wait times by 30 percent at peak times at its infusion centers with the deployment of a data analytics platform that uses data science and optimization algorithms. According to Sridhar Seshadri, vice president of Cancer Services at Stanford Health Care, patients were facing long wait times in the middle of the day, between 11 a.m. and 2 p.m., and the infusion chairs were underutilized during other times of the day. “There is a classic healthcare phenomenon where there is a valley in the early part of the week and then again in the later…


Link to Full Article: Infusion Center Leverages Data Science To Overcome Scheduling Complexities

Pin It on Pinterest

Share This

Join Our Newsletter

Sign up to our mailing list to receive the latest news and updates about homeAI.info and the Informed.AI Network of AI related websites which includes Events.AI, Neurons.AI, Awards.AI, and Vocation.AI

You have Successfully Subscribed!