自适应行为人工智能:强化学习提升药学服务

Ana Fernández del Río, Michael Brennan Leong, Paulo Saraiva, Ivan Nazarov, Aditya Rastogi, Moiz Hassan, Dexian Tang, África Periáñez
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引用次数: 0

摘要

药房在医疗保健系统中至关重要,尤其是在中低收入国家。为药剂师提供正确的行为干预或暗示,可以提高他们的技能、公共卫生意识和药房库存管理水平,确保他们获得基本药物,最终使患者受益。我们介绍了一种强化学习操作系统,通过移动医疗应用提供个性化的行为干预。我们通过讨论印度尼西亚的 SwipeRx(一款面向药剂师的一体化应用,包括 B2B 电子商务)进行的一系列初步实验来说明该系统的潜力。所提出的方法具有更广泛的应用前景,不仅能用于药房运营,还能优化医疗服务。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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