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Ethical Issues of Health Management Predictive Modeling

Ethical Issues of Health Management Predictive Modeling
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Author(s): Elizabeth McGrady (University of Dallas, USA)and Linda W. Nelms (Tennessee Department of Health, USA)
Copyright: 2010
Pages: 9
Source title: Biomedical Knowledge Management: Infrastructures and Processes for E-Health Systems
Source Author(s)/Editor(s): Wayne Pease (University of Southern Queensland, Australia), Malcolm Cooper (Ritsumeikan Asia Pacific University, Japan)and Raj Gururajan (University of Southern Queensland, Australia)
DOI: 10.4018/978-1-60566-266-4.ch007

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Abstract

In the wake of continuously escalating healthcare costs, health management in the workplace has gained new momentum as employers strategize to optimize the health of their workforce while containing healthcare costs. Gaining acceptance as a viable tool to aid employers is a process called Predictive Modeling. On the surface, Predictive Modeling may contribute significantly to delivering the right interventions to the right person at the right time by identifying high risk individuals, and underusers and overusers of health services. This chapter discusses the ethical principles of nonmaleficence, beneficence, justice and autonomy, as well as value judgments and human rights as applied to Predictive Modeling to guide professionals and employers in health management decisions.

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