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健康与大数据:企业健康计划收集健康信息的伦理框架。

Health and Big Data: An Ethical Framework for Health Information Collection by Corporate Wellness Programs.

作者信息

Ajunwa Ifeoma, Crawford Kate, Ford Joel S

机构信息

Ifeoma Ajunwa, J.D., Ph.D., is an Assistant Professor of Law at the University of the District of Columbia School of Law. She holds a J.D. from the University of San Francisco School of Law (San Francisco, CA) and a Ph.D. in Sociology from Columbia University in the City of New York. Kate Crawford, Ph.D., is a Principal Researcher at Microsoft Research (Social Media Collective), a Visiting Professor at the MIT Center for Civic Media, a Senior Fellow at the Information Law Institute at NYU, and an Associate Professor in the Journalism and Media Research Centre at the University of New South Wales. She holds a Ph.D. from the University of Sydney (Sydney, Australia). Joel S. Ford, M.D., is an internal medicine resident at Inova Fairfax Hospital in Falls Church, VA. He holds an M.S. in Mechanical Engineering from Stanford University (Palo Alto, CA) and an M.D. from Case Western Reserve University (Cleveland, Ohio).

出版信息

J Law Med Ethics. 2016 Sep;44(3):474-80. doi: 10.1177/1073110516667943.

DOI:10.1177/1073110516667943
PMID:27587451
Abstract

This essay details the resurgence of wellness program as employed by large corporations with the aim of reducing healthcare costs. The essay narrows in on a discussion of how Big Data collection practices are being utilized in wellness programs and the potential negative impact on the worker in regards to privacy and employment discrimination. The essay offers an ethical framework to be adopted by wellness program vendors in order to conduct wellness programs that would achieve cost-saving goals without undue burdens on the worker. The essay also offers some innovative approaches to wellness that may well better serve the goals of healthcare cost reduction.

摘要

本文详细阐述了大公司采用的健康计划的复兴,其目的是降低医疗成本。本文聚焦于讨论大数据收集做法如何在健康计划中得到应用,以及在隐私和就业歧视方面对员工可能产生的负面影响。本文提供了一个道德框架,供健康计划供应商采用,以便开展既能实现成本节约目标又不会给员工带来不当负担的健康计划。本文还提供了一些创新的健康方法,这些方法很可能能更好地服务于降低医疗成本的目标。

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