Literature DB >> 27587451

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

Ifeoma Ajunwa1, Kate Crawford1, Joel S Ford1.   

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.
© 2016 American Society of Law, Medicine & Ethics.

Mesh:

Year:  2016        PMID: 27587451     DOI: 10.1177/1073110516667943

Source DB:  PubMed          Journal:  J Law Med Ethics        ISSN: 1073-1105            Impact factor:   1.718


  4 in total

1.  Cross-Sectoral Big Data: The Application of an Ethics Framework for Big Data in Health and Research.

Authors:  Graeme T Laurie
Journal:  Asian Bioeth Rev       Date:  2019-10-01

2.  Genetic testing and employer-sponsored wellness programs: An overview of current vendors, products, and practices.

Authors:  Whitney S McDonald; Jennifer K Wagner; Patricia A Deverka; Laura A Woods; Josh F Peterson; Marc S Williams
Journal:  Mol Genet Genomic Med       Date:  2020-07-26       Impact factor: 2.183

3.  The paradox of the artificial intelligence system development process: the use case of corporate wellness programs using smart wearables.

Authors:  Alessandra Angelucci; Ziyue Li; Niya Stoimenova; Stefano Canali
Journal:  AI Soc       Date:  2022-09-26

4.  Just data? Solidarity and justice in data-driven medicine.

Authors:  Patrik Hummel; Matthias Braun
Journal:  Life Sci Soc Policy       Date:  2020-08-25
  4 in total

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