UPMC’s Pamela Peele, PhD, discusses the challenges health systems need to overcome to leverage their data for predictive analytics
An August 2018 survey by the Center for Connected Medicine (CCM) and HIMSS Media suggests that health organizations are confronting the reality of challenges with predictive analytics in health care.
The survey found that approximately 7 out of 10 hospitals and health systems say they are taking some action to formulate or execute a strategy for predictive analytics. This is not surprising given the focus in health care over the past decade to harness the large volumes of data to make improvements in health outcomes and cost reductions – and considering the hype surrounding predictive analytics as a solution for health care.
In fact, the top use cases driving interest in predictive analytics are enabling the delivery of more cost-effective care, reducing hospital readmissions, identifying at-risk patients, and providing more proactive, preventive care, according to the survey of 100 IT and business leaders at U.S. hospitals and health systems.