Healthcare Systems Struggle to Integrate Predictive Data into Operational Decisions
Healthcare systems have invested heavily in data infrastructure over the past decade, leading to the widespread use of predictive modeling and dashboards in operational planning. Despite these advancements, many organizations still face challenges in integrating predictive data into decision-making processes. According to Osama Usmani, Founder and CEO of Salubrum, while health systems have developed sophisticated data environments, the intelligence derived from these systems often remains a reporting layer rather than a decision-making tool. Predictive models are used to inform discussions, but decisions are frequently based on historical patterns and precedents. This gap is attributed to the lack of a clearly designated owner for the intelligence layer, unlike data governance or EHR platforms, resulting in a slower adaptation of operational processes to predictive insights. 
