Big Data Helps Walgreens Treat Walk-in Patients

Cloud-based electronic medical records and analytics systems give Walgreens health data to diagnose and treat patients at in-store clinics.

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Clinicians at Walgreens in-store health clinics are using big data to augment conventional medical tools for patient checkups, in order to better assess each patient's condition and provide recommendations.

The goal is to treat patients' immediate needs--that is, the concerns that brought them to the clinic in the first place--as well as to deliver a holistic medical experience that can increase the patient's overall health and avoid future medical costs.

"The ability to deliver advanced analytics at the point of care can help identify and resolve gaps in quality of care," says Heather Helle, who oversees more than 400 clinics as COO of Walgreens' clinics division.

In-store clinics are a big deal for Walgreens, whose CEO Greg Wasson tells financial analysts the company wants "to play a central role in emerging care models." Walgreens also runs health centers at large companies that want on-site care for employees. Last year, Walgreens started to deploy Inovalon's Electronic Patient Assessment Solution Suite (ePASS), a Web-based decision-support system that includes medical data and the tools to analyze it.

The suite includes data provided by health insurance companies and offers access to a registry containing information culled from 7.5 billion medical events involving more than 100 million individuals.

The data includes demographics, enrollment, diagnoses, procedures, pharmacy information and laboratory results from commercial, Medicare, and Medicaid managed-care plan members. Hundreds of health plans in the U.S. and Puerto Rico are part of the system, which handles more than 140 million insured members, 540,000 physicians and 220 clinical facilities, according to Inovalon.

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