Consulting physician in pharmacovigilance, Madison, Connecticut.
Clin Ther. 2018 May;40(5):790-797. doi: 10.1016/j.clinthera.2018.02.013. Epub 2018 Mar 28.
Pharmacovigilance (PV) is under unprecedented stress from fundamental changes in a booming pharmaceutical industry, from the challenges of creating and maintaining an increasingly complex PV system in a globally diverse regulatory environment, and from unpredicted consequences of historical PV cost-reduction strategies. At the same time, talent availability lags demand, and many PV professionals may no longer be finding personal fulfillment in their careers. The situation creates risks for companies. Advantages and disadvantages of potential strategies to address this increasing problem at a corporate and industry level and in collaboration with regulatory agencies are discussed, as well as opportunities to adopt new technologies, including artificial intelligence and machine-learning to automate pharmacovigilance operations. These approaches would address burdensome and wasteful effort assuring regulatory compliance and free up resources to support the original mission of PV as an important public health activity and to reinvest in the development of new drugs.
药物警戒(PV)正面临着制药行业蓬勃发展带来的前所未有的压力,面临着在日益复杂的全球监管环境中创建和维护 PV 系统的挑战,以及历史上降低 PV 成本策略带来的意外后果。与此同时,人才供应滞后于需求,许多 PV 专业人员可能不再在职业生涯中找到个人满足感。这种情况给企业带来了风险。讨论了在公司和行业层面以及与监管机构合作解决这一日益严重的问题的潜在策略的优缺点,以及采用新技术(包括人工智能和机器学习)来自动化药物警戒操作的机会。这些方法将解决繁琐和浪费的努力,以确保法规合规,并释放资源,以支持 PV 的原始使命,作为一项重要的公共卫生活动,并重新投资于新药的开发。