One of the world’s largest insurance providers is now using AI and data analytics to monitor patient data, deliver personalized messages and update electronic medical records for physicians.

LeanTaaS, a Santa Clara, California-based software company, announced the completion of a $40 million funding round courtesy of the merchant banking division at Goldman Sachs.

A former executive from payment platform PayPal has launched a new deep learning health intelligence platform, Global Care Analytics, to provide claims-and-cost clinical data and predictive analytics for healthcare companies.

AI is becoming more accessible to researchers of any age after The Penn Medicine Institute for Biomedical Informatics launched a free, open-source automated machine learning system for anyone to use, Penn AI.

Data and analytics were named the top challenge healthcare executives expect their organizations to face next year.

Tempus, a provider of genomic sequencing services and molecular analytics, aims to give physicians the tools to deliver personalized cancer care at a molecular level using interactive analytics and machine learning.

Lillian Dittrick, a fellow with the Society of Actuaries, uses data analytics on patients at Unity Health to combat risks stemming from the treatment of diabetes. Dittrick was able to identify patients with chronic conditions, manage costs and implement quality control measures, all while maximizing patient outcomes and minimizing financial risks.

SALT LAKE CITY – Sept. 7, 2016 – Nearly 80 percent of hospital executives believe the future of healthcare could be significantly improved through the use of predictive analytics, a population health management tool that can help providers stay one step ahead of costly problems like preventable readmissions, patient downturns and contracts with insurers that pay less than the cost of providing care. Yet only 31 percent of hospitals have used the technology for more than a year, and 19 percent have no plans to do so.