Artificial Intelligence Fueling the Need for a Digital Workforce in Healthcare
By: John Sharp, Senior Manager, Personal Connected Health Alliance
WHY IT MATTERS
Mount Sinai defines decision centricity as it’s “mission is to improve population health and the effectiveness, efficiency, and equity of health care by developing, analyzing, and disseminating evidence to guide clinical decision making and policy.”
That theme was repeated in various flavors throughout the AI4 Healthcare Conference here last week.
Berger said, for instance, that it is important to empower users with tools to make decisions. He also quoted his CEO Ken Davis on the topic of population health “If our beds are filled, it means we've failed.”
AI and machine learning are one of the ways hospitals such as Mount Sinai focus on keeping patients out of those beds. Berger said Mount Sinai runs analytics against some 1.5 billion data points from the EMR, claims and other sources to create patient profiles through propensity matching.