Real-time data integration allows care teams to engage patients closer to the point of care and make decisions on next steps.
But in some cases even data accessible in real time comes too late.
Think about the challenges of preventing chronic illnesses like diabetes or hospital admissions. Once the patient is in front of the physician, prevention may not be an option.
Sameera Ahmed, a senior healthcare data analyst at population health management firm Populytics, says this is where predictive analytics can help.
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“I think predictive analytics is great because real time is not soon enough,” says Ahmed.
“Predictive analytics really gives you that insight before certain episodes of care happen, before an unintended or unwanted ER visit happens. It really makes an impact on the patient.”
In the latest #5in5 from Optum Provider, Ahmed explains the kind of data providers need to fuel analytics tools that can be used to build a comprehensive, predictive picture of patients’ health risks.
She answers five questions in five minutes on the traits of a quality data set and the questions quality data can answer.
About the Author:
Leslie Cozatt currently serves as Director of Marketing, Optum Provider – Thought Leadership and Content Strategy. She directs the development of content that spotlights the role of data analytics in healthcare – specifically the transition to value-based care, risk management and population health management. She brings to her role more than 20 years of experience developing B2B and B2C integrated marketing campaigns for companies including ThreeWire, Eliance and 3M. Leslie attended the University of Minnesota and graduated from Wellington College with a BS in International Business & Communication