Big data

Using Analytics to Improve Medication Adherence

Lack of simple adherence to prescribed medications results in up to $300 billion of direct costs to the US health care system. While the problem is complex and will require multiple players to solve, this talk will focus on some simple, analytic-driven insights and solutions that prescription bene!t managers (PBMs) and group health plans can use to mitigate the problem within insured populations. We will cover some of the challenges in overcoming non-adherence, including a surprising gap between the perception and reality of individual non-adherence. We will also cover some patent-pending work that Express Scripts (one of the nation's largest PBMs) has done around predicting non-adherence risk, and tailoring interventions to improve adherence.

David tomala
David Tomala
Express Scripts
Senior Director, Advanced Analytics
David Tomala is Senior Director of Advanced Analytics at Express Scripts Inc., one of the nation's largest Prescription Benefit Manager. In this role he is charged with applying quantitative methods to advance Express Scripts's understanding of the consumer. Among Dave's responsibilities are the quantitative assessment of tests, the development and practical application of segmentation, predictive models and other data-mined insights. His team's work on predicting adherence to medications has been featured in the Wall Street Journal. Prior to joining Express Scripts, he spent 10 years in various quantitative roles in financial services including investment banking, mortgage and credit card products.

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