How One Health Care Organization Uses Predictive Analytics to Avoid Growing Pains
// By Lisa Ellis //
Placing your service lines, retail clinics, and outpatient facilities in optimal locations may mean the difference between success and failure in today’s competitive marketplace. These days, it’s no longer enough to make decisions about where to locate new offerings based on available sites or what an organization “thinks” might work. Rather, the savviest organizations are making very strategic moves based on information gleaned from existing data about customers’ wants, needs, and behaviors. In an era with a growing focus on patient-centered care, this type of data holds the key to developing a successful growth strategy.
Exploring Cooper University Health Care’s Efforts
Pamela Ladu, MBA, Assistant Vice President, Ambulatory Planning and Logistics, Cooper University Health Care.
This fact is especially true for Cooper University Health Care in Southern New Jersey, the clinical campus of Cooper Medical School of Rowan University. About a two-hour drive from New York City, Cooper serves more than half a million patients a year in a fast-paced and densely populated area where the cost of living is steep. The stakes are high, and Cooper can’t afford to make missteps along the road to success. This fact recently prompted the organization to turn to predictive consumer analytics to get a deeper understanding of the needs and opportunities that exist in its target area, according to Pamela Ladu, MBA, Assistant Vice President, Ambulatory Planning and Logistics for Cooper. Ladu shared Cooper’s experiences with predictive analytics at the 2016 HMPS conference and also spoke with SHCM personally.
Using Predictive Analytics
Ladu says Cooper has a strategic imperative to expand its primary care network. An important part of the equation to achieve this goal is with the help of Buxton, a company in Fort Worth, Texas, that specializes in predictive consumer analytics, to support and guide its growth journey.