There’s a scene in the classic movie “The Wizard of Oz” that shows Dorothy’s house tossed around in the air by the force of a twister. From the start of the movie until that point, the film is shot in dull, black-and-white tones — a monotone wash of gray. Then the house crash lands in Oz. When she opens the door of her home for the first time, Dorothy is greeted by a spectacular vista of color and layers of marvelous detail. She’s opened the door to an entirely new world.
While there’s certainly no fantasy involved in data analytics, there’s a similarity to be found in trying to improve population health with only traditional health care data — it’s often a wash of gray. But add the data gleaned from analyzing non-clinical factors and it can produce insights that are rich, multidimensional and impactful.
Analyzing data related to social and behavioral health factors, known as social determinants of health (SDOH), can help your organization avoid making decisions based solely on partial data. SDOH data analysis adds color and clarity. It offers a thorough picture that helps you know where and how to invest your resources so you can keep your populations — and your enterprise — healthier and sustainable.