Beyond boundaries: Charting the frontier of healthcare with big data and ai advancements in pharmacovigilance

Arohi Agarwal , Gagan Singh , Samyak Jain , Piyush Mittal
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Abstract

The healthcare sector is intricate, generating vast amounts of data from various sources at an accelerated pace. The contemporary trend of Big Data Analytics is pivotal, impacting not only the pharmaceutical industry but also transforming healthcare, contributing to personalized treatment, aiding in preventive healthcare, managing electronic health records, facilitating adverse drug reporting, and incorporating consumer reviews. This article provides an overview of the inevitable influence of big data and the utilization of artificial intelligence in revolutionizing both healthcare and the pharmaceutical sector. It delves into the notable benefits and challenges encountered in advancing data analytics of the early 21st century.In many countries, Post-marketing surveillance of drug safety relinquishes on a systematic analysis of spontaneous using Generative artificial intelligence (AI) to overcome gaps in the present PV ecosystem is critical to maintaining an uninterrupted record of security and effectiveness within healthcare analytics, data mining techniques, predictive analytics, and the emergence of scientific fields like bioinformatics and health informatics are empowered by Big Data. Nevertheless, the integration of AI in healthcare, especially in pharmacovigilance, aligns with the evolving landscape of electronic health information technology. In conclusion, review highlights the transformative impact of Big Data and AI in healthcare, emphasizing their applications in pharmacovigilance and pharmacoepidemiology. The continuous evolution of these technologies holds promise for improving patient safety, personalized medicine, and overall healthcare outcomes.
超越边界:利用大数据和人工智能在药物警戒方面的进步,绘制医疗保健的前沿
医疗保健行业错综复杂,以更快的速度从各种来源生成大量数据。大数据分析的当代趋势是至关重要的,它不仅影响着制药行业,而且改变着医疗保健,促进个性化治疗,帮助预防性医疗保健,管理电子健康记录,促进不良药物报告,并纳入消费者评论。本文概述了大数据的不可避免的影响,以及人工智能在医疗保健和制药行业的革命性应用。它深入探讨了21世纪初在推进数据分析中遇到的显着好处和挑战。在许多国家,药物安全的上市后监测放弃了对自发的系统分析,使用生成式人工智能(AI)来克服当前光伏生态系统中的差距,这对于在医疗保健分析、数据挖掘技术、预测分析以及生物信息学和健康信息学等科学领域中保持不间断的安全性和有效性记录至关重要。然而,人工智能在医疗保健中的整合,特别是在药物警戒方面,与电子卫生信息技术的不断发展相一致。总之,综述强调了大数据和人工智能在医疗保健中的变革性影响,强调了它们在药物警戒和药物流行病学方面的应用。这些技术的不断发展有望改善患者安全、个性化医疗和整体医疗保健结果。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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来源期刊
Health sciences review (Oxford, England)
Health sciences review (Oxford, England) Medicine and Dentistry (General)
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