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Enregistrement W267629933

The realities of implementing health information legislation: the Manitoba experience, 1997-2004.

2005· article· en· W267629933 sur OpenAlex

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Notice bibliographique

RevuePubMed · 2005
Typearticle
Langueen
DomaineHealth Professions
ThématiqueMedical Research and Practices
Établissements canadiensManitoba Health
Organismes subventionnairesnon disponible
Mots-clésLegislationHealth carePublic relationsHealth policyContext (archaeology)Internet privacyPersonally identifiable informationBusinessPolitical scienceLawComputer science
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

In the late 1990s, an increasing global emphasis on data protection and the expansion of provincial health information systems provided the optimal context for developing health information access and privacy legislation. Manitoba's Personal Health Information Act (PHIA) was thus enacted on December 11, 1997. (1) PHIA was the first law of its kind in Canada and was developed with a view to interpreting internationally accepted fair information principles for application within the local health care system. PHIA requires health information trustees (public bodies and health care providers) to grant individuals access, upon request, to personal health information about themselves. (2) It also requires trustees to protect the personal health information they maintain from inappropriate collection, use, disclosure, retention and destruction. (3) Manitoba's experience with PHIA over the past six years has included some interesting (and a few unforeseen) implementation challenges and has raised several demanding policy questions. This experience has also offered some useful lessons regarding the administration of health information access and privacy legislation. Some of these challenges, policy questions, and lessons are explored below. Implementation Challenges An implementation challenge that emerged early on was the complexity of the legislation. Although PHIA was deliberately drafted in plain language, and although the basic requirements are easily understood, the exceptions to these requirements are sometimes not. Yet an understanding of these exceptions is essential to effective implementation. An employee charged with the responsibility of responding to an access request must understand when it is appropriate or even necessary to sever certain information. (4) Likewise, an employee given the responsibility of discussing treatment and care with a patient's family must understand the amount of information it is appropriate to release without the patient's express consent. (5) While understanding the exceptions can be as important as understanding the rules, these details can sometimes be lost in the myriad of other legal requirements and operational demands trustees must respond to on any given working day. Demands on the time of health providers and health facility staff can also lead to another challenge in implementation: the time necessary to seek and obtain consent. Although PHIA does not currently define consent, common law holds that must be informed to be valid. (6) Obtaining informed may require a discussion with the patient, which in turn requires time and opportunity. Where these are scarce, there is a danger that the principle of no disclosure without consent may, in practice, simply mean no disclosure. Where to disclose is not sought and information is withheld, misunderstandings about the purpose of the legislation may ensue. This, in turn, may further impede appropriate communication. One such misunderstanding is that PHIA assures absolute privacy. Like all information protection legislation, PHIA provides for reasonable confidentiality with exceptions where the right of privacy conflicts with an overriding societal interest. The legislation thus enables reporting to appropriate authorities where there is a child protection issue, communicable disease outbreak, or serious and immediate threat to public safety. (7) Another misunderstanding is that the legislation is a barrier to health care. PHIA permits the disclosure of personal health information to persons providing health care, even without express from the patient, provided that the patient does not specifically object. (8) In doing so, the legislation also recognizes the importance of information sharing within the circle of care insofar as it is necessary for that purpose. Another challenge to effective implementation that occasionally arises is an unwarranted fear of prosecution under the legislation. …

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Prédiction distillée sur la base complète

Imitation des enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,006
score de la tête « metaresearch » (Gemma)0,002
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesÉtudes des sciences et des technologies
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: aucune
Score de désaccord entre enseignants0,889
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0060,002
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0000,000
Études des sciences et des technologies0,0020,000
Communication savante0,0000,001
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
Charge utile insuffisante (le modèle a refusé de juger)0,0000,000

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.

Tête enseignante Opus0,150
Tête enseignante GPT0,459
Écart entre enseignants0,309 · la distance entre les deux têtes enseignantes sur ce seul travail
Statut de validationscore_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 découle