2024/08/14 by Ana Fernández del Río, del Río, Ana Fernández, Michael Brennan Leong +13
Computer Science · Psychology · #Artificial Intelligence (cs.AI) #Computers and Society (cs.CY) #Data Analysis #Data Stream Mining Techniques #FOS: Computer and information sciences #FOS: Physical sciences #Machine Learning (cs.LG) #Mental Health Research Topics #Online Learning and Analytics #Statistics and Probability (physics.data-an)
paper · pdf · doi:10.48550/arxiv.2408.07647
openalex publication_date 2024/08/14 · openalex created_date 2024/09/18 · openalex updated_date 2026/07/28
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.