Providing better care at a lower cost requires a strategic plan to identify at-risk patients who are the most likely to benefit from early interventions. But to do that, health care organizations need the most comprehensive insights and expert-level predictions possible.
Analytics let organizations segment their population by clinical risk or by utilization. This makes it easier to identify patients who are high users of health care services and find utilization outliers among physicians. Analytics can even segment patients by cost. Organizations can see which patients have the highest cost of care, or which physicians are cost outliers.
With analytics, providers can create predictive models to identify patients with chronic but manageable illnesses. This creates an opportunity to single out those who need intervention. Putting the power of analytics into action means applying clinical expertise to devise interventions that both improve population health and bring down costs and utilization. And providers can use analytics to determine the effectiveness of their interventions. This lets them develop and share protocols with everyone in their organization.
Knowing who makes up the patient population is the important first step in creating a complete picture of an organization’s practice. And it starts by creating a plan guided by analytics. Check out this video to learn more about how analytics can help health care organizations better manage populations.
In our next post, we’ll look at how health care providers around the country are using analytics to change the way they deliver care.