Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services
<|reference_start|>Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy Services: 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.<|reference_end|>
@article{del río2024adaptive,
    title={Adaptive Behavioral AI: Reinforcement Learning to Enhance Pharmacy
  Services},
    author={Ana Fern'andez del R'io, Michael Brennan Leong, Paulo Saraiva, Ivan
  Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang and 'Africa Peri'a~nez},
    journal={arXiv preprint arXiv:2408.07647},
    year={2024},
    archivePrefix={arXiv},
    eprint={2408.07647},
    primaryClass={cs.LG cs.AI cs.CY physics.data-an}
}