WellDoc Validates Potential of Its Digital Therapeutic BlueStar

WellDoc, a leading digital health company, announced today that its “clinically proven” hemoglobin A1C reductions for users of its BlueStar digital therapeutic with type 2 diabetes can translate into significant healthcare cost savings.

According to a provided release:

Truven Health Analytics®, part of the IBM Watson Health™ business, conducted an analysis for WellDoc using the MarketScan® Research Databases, a family of research data sets that fully integrate de-identified patient-level health data, productivity, laboratory results, health risk assessments, hospital discharges, electronic medical records (EMR) and morbidity data into data available for healthcare research. Data are contributed by large employers, managed care organizations, hospitals, EMR providers, and Medicare and Medicaid programs. Findings are based on an analysis of commercial and Medicare consumers within the MarketScan Databases.

Truven Health researchers created a complex custom algorithm and applied it to the MarketScan data, resulting in quantified total costs broken down by A1C levels in a way that was comparable between ages, stability and degree of glycemic stability/control.

By WellDoc applying these new Truven Health findings to previous research it conducted about BlueStar’s ability to lower and control A1C, the data show that BlueStar can save on average a range of $254 to $271 per user per month. A commercially covered patient living with type 2 diabetes costs the healthcare system annually an average of $13,000 to $20,000, depending on his or her A1C measurement.1

“The data translate the clinical outcomes seen for BlueStar users into real-world savings in healthcare costs,” said WellDoc President and CEO Kevin McRaith. “Many employers, health plans and health systems are looking to integrate coverage for innovative healthcare technology solutions to help contain, avoid, or save on costs for their members or employees with chronic diseases, such as diabetes. The analysis helps to inform payers in making more precise decisions about which patients can benefit the most from a digital therapeutic.”

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