数据驱动的健康创新和隐私监管

IF 1.1 4区经济学 Q3 ECONOMICS

B E Journal of Economic Analysis & Policy Pub Date : 2023-11-01 DOI:10.1515/bejeap-2023-0020

Chiara Conti, Anna D’Annunzio, Pierfrancesco Reverberi

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引用次数: 0

摘要

数据驱动的健康创新可能导致利用健康数据开发有针对性的治疗方法。我们考虑隐私敏感的患者，如果得到补偿，他们可能决定分享个人健康数据。每位患者并没有内化共享数据对药物创新的影响。我们的研究表明，只要这种创新具有公益性质，让患者可以免费共享健康数据，那么针对针对性治疗的投资激励就太弱了。其次，降低数据共享风险的隐私保护措施可以促进制药研发和社会福利。

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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Data-Driven Health Innovation and Privacy Regulation

Abstract Data-driven health innovation may lead to develop targeted treatments using health data. We consider privacy-sensitive patients who may decide to share personal health data if compensated. Each patient does not internalize the impact of sharing data on drug innovation. We show that investment incentives in targeted treatments are too weak as long as such innovation has a public good nature so that patients can free ride on sharing health data. Then, privacy protection measures reducing data sharing risks can promote pharmaceutical R&D and social welfare.

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来源期刊

B E Journal of Economic Analysis & Policy ECONOMICS-

CiteScore

1.50

自引率

11.10%

发文量

期刊介绍： The B.E. Journal of Economic Analysis & Policy welcomes submissions that employ microeconomics to analyze issues in business, consumer behavior, and public policy. We aim to be an international forum for scholarship, whether the scholarship considers an issue that is general or that pertains to a particular country or region, but authors should bear in mind that our readers come from around the world. Potential issues of interest include: the interaction of firms, the functioning of markets, the effects of domestic and international policy, and the design of organizations and institutions.