For over a decade, healthcare organizations have invested millions in building data warehouses and hiring data analysts to improve patient outcomes. However, these efforts have often fallen short because the insights provided by traditional analytics and dashboards are not actionable. They merely describe what is happening without explaining why or suggesting what can be done to either prevent negative outcomes or encourage positive ones.

Now, with advancements in infrastructure and technology, we can go beyond understanding "what is going on" to uncovering "why it’s happening" and determining "what to do about it." At LeanTaaS, we analyze extensive historical electronic health record (EHR) data using sophisticated algorithms to identify trends and patterns, both positive and negative. We then offer prescriptive guidance to address operational issues, such as improving access to limited resources, reducing patient wait times in hospitals or infusion centers, enhancing staff satisfaction, and lowering overall healthcare delivery costs.

Most big data analytics companies focus solely on dashboards and reporting tools filled with vast amounts of data. However, it's time to demand more from analytics companies. The data should tell a story and make actionable recommendations that lead to meaningful process changes. Solutions must develop accurate predictions and generate specific recommendations that help frontline staff make hundreds of tangible decisions daily, rather than just "admiring the problem.