
The Top Line From data to decisions: how Walgreens is powering smarter pharma strategies (Sponsored)
Dec 8, 2025
Deepak Kuletha, leader of data analytics for biopharma services at Walgreens, shares invaluable insights into how the company leverages its vast daily interactions to generate data that informs pharmaceutical strategies. He discusses how Walgreens helps partners optimize drug launches by uncovering patient behavior trends and addressing access barriers. Deepak highlights the role of machine learning and AI in predicting adherence risks and the importance of maintaining patient privacy while delivering actionable insights. This collaboration is shaping the future of evidence generation in healthcare.
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Scale Creates Actionable Real-World Data
- Walgreens' scale — ~8,000 stores and 9M daily interactions — produces rich real-world data across the patient journey.
- Deepak Kuletha says that synthesizing these data helps pharma spot access, affordability, and outcome trends quickly.
Launching A Drug With Real-Time Pharmacy Signals
- Walgreens supported a pharma launch using real-time prescription and engagement data to spot early adoption and prior-authorization barriers.
- The partner adjusted its patient support program based on those insights to improve therapy access.
Address Access First To Improve Adherence
- Identify access barriers by analyzing dispensing patterns, discontinuations, and claims to target interventions early.
- Implement patient education, timely alerts, and financial/prior-authorization support to boost adherence.
