Big wave of artificial intelligence and machine learning coming to healthcare, University Hospitals of Cleveland CEO says


As hospitals and health systems leverage information technology, healthcare executives must advocate for caregivers to improve provider satisfaction, be prepared for a telehealth explosion, embrace machine learning and artificial intelligence, incorporate the Internet of Things, and prepare for more cyber-attacks, said Thomas Zenty, CEO of University Hospitals of Cleveland. Zenty delivered today's keynote address at Allscripts Client Experience, the EHR vendor's user conference here. The wellness of providers, the degree to which they are satisfied with their jobs, is key to operating a hospital or health system. "Physician satisfaction is at an all-time low," Zenty said. "The things we now have to do with our EHRs.

Ten emerging healthcare data analytics trends for 2016 - Think Big Data


User experience for dashboard solutions for medical community will emerge as a key product differentiation Conventionally, user experience has been focused towards consumer interfaces only. Data analytics players will renew their focus on healthcare institutional solutions Startups such as Flatiron Health and Oncora Medical are building data platforms for real-time data analysis from patient records to create real-time R&D dashboards. Genomics research ventures will drive machine learning driven drug discovery initiatives Machine learning for drug discovery isn't a new trend. Interestingly, a range of startups that use data driven machine learning for diagnostic and care predictions are engaging with healthcare institutions to digitize health records and create useful data driven analytics solutions.