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Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services

Authors :
del Río, Ana Fernández
Leong, Michael Brennan
Saraiva, Paulo
Nazarov, Ivan
Rastogi, Aditya
Hassan, Moiz
Tang, Dexian
Periáñez, África
Publication Year :
2024

Abstract

Pharmacies are critical in healthcare systems, particularly in low- and middle-income countries. Procuring pharmacists with the right behavioral interventions or nudges can enhance their skills, public health awareness, and pharmacy inventory management, ensuring access to essential medicines that ultimately benefit their patients. We introduce a reinforcement learning operational system to deliver personalized behavioral interventions through mobile health applications. We illustrate its potential by discussing a series of initial experiments run with SwipeRx, an all-in-one app for pharmacists, including B2B e-commerce, in Indonesia. The proposed method has broader applications extending beyond pharmacy operations to optimize healthcare delivery.<br />Comment: Presented at The First Workshop on AI Behavioral Science (AIBS'24) at KDD 2024, August 25, Barcelona, Spain

Details

Database :
arXiv
Publication Type :
Report
Accession number :
edsarx.2408.07647
Document Type :
Working Paper