Chalasani Sri Harsha, Syed Jehath, Ramesh Madhan, Patil Vikram, Pramod Kumar T M
Dept. of Pharmacy Practice, JSS College of Pharmacy, JSS Academy of Higher Education & Research, Mysuru 15, Karnataka, India.
Dept. of Radiology, JSS Medical College & Hospital, JSS Academy of Higher Education & Research, Mysuru 15, Karnataka, India.
Explor Res Clin Soc Pharm. 2023 Oct 21;12:100346. doi: 10.1016/j.rcsop.2023.100346. eCollection 2023 Dec.
Artificial intelligence (AI) is a transformative technology used in various industrial sectors including healthcare. In pharmacy practice, AI has the potential to significantly improve medication management and patient care. This review explores various AI applications in the field of pharmacy practice. The incorporation of AI technologies provides pharmacists with tools and systems that help them make accurate and evidence-based clinical decisions. By using AI algorithms and Machine Learning, pharmacists can analyze a large volume of patient data, including medical records, laboratory results, and medication profiles, aiding them in identifying potential drug-drug interactions, assessing the safety and efficacy of medicines, and making informed recommendations tailored to individual patient requirements. Various AI models have been developed to predict and detect adverse drug events, assist clinical decision support systems with medication-related decisions, automate dispensing processes in community pharmacies, optimize medication dosages, detect drug-drug interactions, improve adherence through smart technologies, detect and prevent medication errors, provide medication therapy management services, and support telemedicine initiatives. By incorporating AI into clinical practice, health care professionals can augment their decision-making processes and provide patients with personalized care. AI allows for greater collaboration between different healthcare services provided to a single patient. For patients, AI may be a useful tool for providing guidance on how and when to take a medication, aiding in patient education, and promoting medication adherence and AI may be used to know how and where to obtain the most cost-effective healthcare and how best to communicate with healthcare professionals, optimize the health monitoring using wearables devices, provide everyday lifestyle and health guidance, and integrate diet and exercise.
人工智能(AI)是一种变革性技术,应用于包括医疗保健在内的各个工业领域。在药学实践中,人工智能有潜力显著改善药物管理和患者护理。本综述探讨了人工智能在药学实践领域的各种应用。人工智能技术的融入为药剂师提供了工具和系统,帮助他们做出准确且基于证据的临床决策。通过使用人工智能算法和机器学习,药剂师可以分析大量患者数据,包括病历、实验室结果和用药记录,协助他们识别潜在的药物相互作用、评估药物的安全性和有效性,并根据患者的个体需求做出明智的建议。已经开发了各种人工智能模型来预测和检测药物不良事件、协助临床决策支持系统进行与药物相关的决策、自动化社区药房的配药流程、优化药物剂量、检测药物相互作用、通过智能技术提高依从性、检测和预防用药错误、提供药物治疗管理服务以及支持远程医疗计划。通过将人工智能融入临床实践,医疗保健专业人员可以增强他们的决策过程,并为患者提供个性化护理。人工智能允许为单个患者提供的不同医疗服务之间进行更大程度的协作。对患者而言,人工智能可能是一个有用的工具,用于提供关于如何以及何时服药的指导、帮助患者教育以及促进用药依从性,并且人工智能可用于了解如何以及在何处获得最具成本效益的医疗保健,以及如何最好地与医疗保健专业人员沟通、使用可穿戴设备优化健康监测、提供日常的生活方式和健康指导,以及整合饮食和锻炼。