Ethics Guide Recommendations for Organ-Donation–Focused Physicians
Bibliographic record
Abstract
Donation physicians are specialists with expertise in organ and tissue donation and have been recognized internationally as a key contributor to improving organ and tissue donation services. Subsequent to a 2011 Canadian Critical Care Society-Canadian Blood Services consultation, the donation physician role has been gradually implemented in Canada. These professionals are generally intensive care unit physicians with an enhanced focus and expertise in organ/tissue donation. They must manage the dual obligation of caring for dying patients and their families while providing and/or improving organ donation services. In anticipation of actual, potential or perceived ethical challenges with the role, Canadian Blood Services in partnership with the Canadian Medical Association organized the development of an evidence-informed consensus process of donation experts and bioethicists to produce an ethics guide. This guide includes overarching principles and benefits of the DP role, and recommendations in regard to communication with families, role disclosure, consent discussions, interprofessional conflicts, conscientious objection, death determination, donation specific clinical practices in neurological determination of death and donation after circulatory death, end-of-life care, performance metrics, resources and remuneration. Although this report is intended to inform donation physician practices, it is recognized that the recommendations may have applicability to other professionals (eg, physicians in intensive care, emergency medicine, neurology, neurosurgery, pulmonology) who may also participate in the end-of-life care of potential donors in various clinical settings. It is hoped that this guidance will assist practitioners and their sponsoring organizations in preserving their duty of care, protecting the interests of dying patients, and fulfilling best practices for organ and tissue donation.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.001 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".