Fiduciary law in the hospital context: the prescriptive duty of protective intervention.
Notice bibliographique
Résumé
I. Introduction Hospitals are hazardous places. They house patients in complex environments rife with life-threatening diseases and toxic pharmaceuticals. Significant numbers of hospital patients have compromised immune systems and hence are susceptible to disease, including infectious disease. The spread of disease in hospitals is facilitated by the proximity of patients to one another and the density of the patient population. High risk, often life-threatening medical procedures, are routinely carried out. Hospital services are delivered in dynamic, fast paced environments that too often tax hospital service providers beyond their service limits. Both by virtue of their illnesses and the realities of hospital environments, patients are extremely vulnerable. It is not surprising, therefore, that despite significant efforts to mitigate risk, the incidence of adverse events and morbidity from adverse events in hospitals is distressingly high. In Canada, one out of every thirteen patients in non-specialized acute care hospitals experience adverse events and, annually, death ensues for thousands of Canadians. (1) Increasingly, hospitals, health care authorities, and health safety institutes are developing and implementing programs and strategies designed to mitigate hospital risk. (2) Legal regulation of both hospital environments and activities also contributes to the mitigation of risk. Tort law has a high profile in this task. Less important but not unimportant is fiduciary law. Together, these two bodies of judge-made law improve safety in hospitals by minimizing risk (tort law) and by requiring that service providers be dedicated to their patients' best (fiduciary law). (3) Recent developments in fiduciary law, buttressed by parallel developments in tort law, suggest unequivocally that fiduciary doctrine has expanded to include positive duties of disclosure and protective responsibility. (4) Where fiduciaries are burdened by affirmative responsibilities, much more is expected of them as guardians of their beneficiaries' interests than has historically been the case. Affirmative obligation can import a broad duty to protect beneficiaries, not only from potential misconduct of fiduciaries themselves, but from potentially harmful behaviour of third parties and even other sources of potential harm. In the health care context, such an affirmative duty has the potential to enhance the security and safety of hospitalized patients. (5) Discovery and both reporting and disclosure of risk, harm and error are the sine qua non of an effective patient safety strategy. It is disconcerting that historically there has been and there continues to be significant reluctance to report and disclose suspicious circumstances surrounding patterns of morbidity and mortality, medical error and perhaps even misconduct perpetrated by health service providers. (6) This article will suggest that there is a legal duty, not merely an ethical duty, to disclose and/or report misconduct, medical error and suspicious circumstances of serious health risks faced by patients. While this suggestion is not entirely novel, what may be new is the suggestion that the duty to disclose and report medical error, borne by health care professionals [HCPs], binds not only perpetrators of these errors but other HCPs who are aware of the problem. In other words, the duty to disclose and report includes a duty to whistle-blow. It is fiduciary law that spawns this extraordinary duty. The obligation to whistle-blow is derived from the broad duty of protective intervention, which, in turn, is derived from the core duty of fiducial loyalty. (7) Fiducial loyalty also requires disclosure/reporting of medical error outside of the context of protective intervention, that is, even where there is no apparent threat of new or continuing harm to patients. Given the limited case law that focuses on HCPs/patient fiduciary relationships, demonstrating that a legal duty to whistle-blow exists requires a deep and critical examination of the broad body of fiduciary law. …
Récupéré en direct depuis OpenAlex et désinversé. Les résumés ne sont pas conservés dans cette base de données : les index inversés représentent 8,6 Go des 9,3 Go de texte de la base, et le serveur dispose de 13 Go libres.
Comment cette classification a été obtenuedéplier
Prédiction distillée sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Apprise à partir de 10 348 étiquettes directes de Codex et de 10 348 étiquettes directes de Gemma. Le mode candidate est l'union des têtes enseignantes seuillées; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont ni des étiquettes humaines ni des étiquettes directes de modèles de pointe.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,008 | 0,004 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,000 |
| Bibliométrie | 0,000 | 0,000 |
| Études des sciences et des technologies | 0,000 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,000 | 0,000 |
| Intégrité de la recherche | 0,000 | 0,001 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
Scores machine (provisoires)
Les deux têtes enseignantes du modèle étudiant, lues sur ce travail. Un score ordonne la base pour la relecture; il n'affirme jamais une catégorie, et le statut de validation accompagne chaque rangée tel quel.
Scores de référence d'un modèle non mature (critères de maturité non atteints, 7 itérations). Un score ordonne; il n'affirme jamais une catégorie.
score_only:v0-immature-baseline · tel quel depuis la passe de notation : score_only signifie que le nombre peut ordonner les travaux, et qu'aucune étiquette de catégorie n'en découleClassification
machine, non validéePrédiction automatique; un appel candidat d’une seule tête enseignante, pas un consensus.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».