
doi: 10.1007/bf00995163
pmid: 8259528
Empirical research can aid ethical reflection in bioethics by identifying issues, by seeing how they are currently resolved, and by assessing the consequences of these current resolutions. This potential can be misused when the ethical issues in question are fundamentally non-consequentialist or when they are consequentialist but the empirical research fails to address the important consequences. An example of the former problem is some recent studies about bad consequences resulting from commercialized living kidney donor programs. These consequences could be avoided, but the crucial non-consequentialist ethical issues about exploitation and commercialization would still remain. Examples of the latter problem are provided by recent studies of the allocation of ICU beds and of physician deception, where important consequences were not adequately studied.
Human Body, Tissue and Organ Procurement, Patient Selection, Research, Organ Transplantation, Empirical Research, Truth Disclosure, Risk Assessment, Tissue Donors, United States, Resource Allocation, Intensive Care Units, Ethics, Clinical, Ethics, Medical, Interdisciplinary Communication, Philosophy, Medical, Triage, Ethical Theory, Ethical Analysis
Human Body, Tissue and Organ Procurement, Patient Selection, Research, Organ Transplantation, Empirical Research, Truth Disclosure, Risk Assessment, Tissue Donors, United States, Resource Allocation, Intensive Care Units, Ethics, Clinical, Ethics, Medical, Interdisciplinary Communication, Philosophy, Medical, Triage, Ethical Theory, Ethical Analysis
| selected citations These citations are derived from selected sources. This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | 27 | |
| popularity This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network. | Top 10% | |
| influence This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically). | Top 10% | |
| impulse This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network. | Average |
