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Duquesne

An Organizational Ethics Framework to Balance Individual Privacy and Population Interests Regarding Genetic Technologies

Abstract

dc:description.abstract

<p>The American culture holds the right to privacy as one of the most esteemed rights for individuals. As such, the culture adamantly defends the right to privacy to ensure individuals have the opportunity to live freely. In the American healthcare system, the right to privacy is critical for individual autonomy. However, genetic science has pushed this boundary as it emphasizes the interdependency between individual and population health. Genetic technologies for healthcare have been increasing at an exponential rate since the early 2000s. Their implantation into clinical care has been a slower process due to ethical dilemmas. Specifically, ethical dilemmas revolve around the use of individual genetic information for population benefit and future research. Ethical discourse on these dilemmas is typically from either the individual or population health perspective. This dissertation presents a healthcare organization’s perspective of ethical dilemmas when integrating genetic technologies into the organization. Specifically, this dissertation develops an organizational ethics framework to address the tensions between individuals and populations when implementing genetic technologies. The framework integrates three recurring and related ethical concepts in discussions about genetics: consent, conflict, compromise. The proposed framework is intended for organizational use to balance individual privacy and population benefits in both clinical care and research settings.</p>

Degree

thesis:*
Name thesis:degree_name
PhD
Level thesis:degree_level
One-year Embargo
Discipline thesis:degree_discipline
Health Care Ethics
Year dc:date.available
2017

Author and committee

dc:creator, dc:contributor.*
Author dc:creator
  • Trani, Christine
Contributors dc:contributor
  • Gerard Magill
  • Henk ten Have
  • Joris Gielen

Subjects

dc:subject × 8

Rights

Language dc:language
English

Identifiers

dc:identifier.*
Repository record dc:identifier
https://dsc.duq.edu/etd/227
OAI identifier oai:identifier
oai:dsc.duq.edu:etd-1213

Chain of custody

source
Harvested from
Duquesne
Base URL
dsc.duq.edu/do/oai/
Last updated
2026-07-24
Source record
OAI-PMH GetRecord
citation

Trani, Christine. An Organizational Ethics Framework to Balance Individual Privacy and Population Interests Regarding Genetic Technologies. One-year Embargo thesis, 2017. https://dsc.duq.edu/etd/227