Artificial intelligence to play key role in population health

AI is also being used in other areas of healthcare including analyzing data to help patients take their medications on time, manage diabetes and improve clinical practices in mental health. "Artificial intelligence can help providers gain insights about their patients, their treatments and their workflow that they could never have known on their own" said Harpreet Singh Buttar, transformational health industry analyst at Mountain View, California-based, research firm Frost & Sullivan. He added that by using this technology, doctors will achieve their population health management goals as they make better decisions at a much faster rate. Furthermore, computational computing can be applied to many data sets associated with population health management including data registries, electronic health records, data generated from team care, as well as claims data, information gleaned from hospital readmissions and data related to social determinants that have a significant impact on patient populations. Frost & Sullivan estimates that the market for AI will grow from earned revenues of $634 million in 2014 to $6.6 billion in 2021 at a compound annual growth rate of 40%.