The COVID-19 pandemic has accelerated the evolution of the healthcare environment.
The natural language processing engine has helped boost the ratio of acceptance to rejection for chart-assisted recommendations to 6:1 for six diagnoses included in a recent pilot.
The Wall Street Journal says Big Blue is pondering ways it might off-load the healthcare AI subsidiary, and IBM CEO Arvind Krishna has already signaled a ''maniacal focus" on hybrid cloud development.
The Rochester facility, which won't open until staff COVID-19 safety comes more into focus, will enable the two organizations to build on their "shared cultures of collaboration" said Mayo CIO Cris Ross.
Dr. Tanuj Gupta, vice president at Cerner Intelligence, talks gender and racial algorithm bias, whether AI could replace clinicians, and how machine learning should be regulated.
AdventHealth, Advocate Aurora, Northwell, Novant, Providence and Tenet are just some of the major providers collaborating on the new data platform, whose goal is to "improve health equity and advance personalized medicine," according to its CEO.
The informatics group's new position paper explores ways to enable rigorous but flexible oversight and help FDA and other policymakers ensure "adaptive CDS" is safe and effective.
Collaboration on the Azure platform will help "deliver personalized digital experiences and make more data-informed decisions," says Kaiser's interim CIO.
The company's software uses machine learning to suggest diagnoses based on medical records with the aim of ensuring no condition is overlooked.
Moving from manual assessment to automation has reduced code blues, saved lives and increased provider satisfaction.