It's not (just) about privacy: a new perspective on health databases.
Notice bibliographique
Résumé
Introduction Low-cost computing power has made possible the storage and analysis of large quantities of health data. Individual electronic health records (EHRs) offer the potential for major improvements both in patient care and in the extent and quality of data available for population health research. The Canadian government has committed more than $1 billion in infrastructure funds for the so-called Canada Health Infoway, with a specific mandate to accelerate the development of EHR systems across Canada. Several provincial governments are actively supporting complementary initiatives. (1) In addition to facilitating secondary uses of data that were gathered in the course of providing and financing health care, the 'information revolution' facilitates multiple, low-cost analyses of data gathered for purposes. The proposed Canadian Lifelong Health Initiative (CLHI) relies on this capability. This longitudinal prospective program would involve both an early birth cohort and an aging cohort. Health status information, information related to various social determinants of health, and biological materials would be collected and maintained as a research platform to support multiple individual studies, over a period of decades. (2) A larger scale study in the UK (Biobank) will collect baseline data and blood samples from 500,000 people aged 45-69 years, who will be followed for at least 10 years. (3) Such projects offer unprecedented opportunities to study interactions between genetic variations and environmental variables, which can and should be defined in the broadest sense, and to provide an evidence base for policies and interventions to improve population health. Somewhat belatedly, legislative and policy attention has focussed on the ethical and social implications of these new technological capabilities. In the United States, the main national response has been a health information privacy rule under the Health Insurance Portability and Accountability Act (HIPAA) of 1996. (4) In Canada, legislation governing commercial users of health information and federally regulated industries--the Protection of Personal Information and Electronic Documents Act (5)--which came fully into force in January 2004, complementing a variety of existing federal and provincial privacy statutes. (6) However, this article is concerned not with the content and implementation of these requirements, but rather with a key omission in the underlying ethical and public policy rationale. Privacy, and Beyond At least in the Anglo-American countries, ethical analysis of involving health data is highly individualistic. It tends to focus on potential encroachments on individual privacy; on preventing unauthorized or inappropriate access to data related to the health status of a particular, identifiable individual; and (when data are gathered specifically for purposes) on the nature of the process by which consent is obtained from participants. (7) If confidentiality can be assured, then many ethical problems are considered solved, even if data were originally collected with no indication that they would subsequently be used for purposes. For instance, the Tri-Council Policy Statement (TCPS) that provides guidelines for ethics review of federally funded in Canada states that secondary use of data becomes of concern only when data can be linked to individuals. (8) Commentators often presume that a legitimate tradeoff exists between individuals' wishes to control use of information they have provided and society-wide benefits in the form of improved health system performance or improved understanding of the determinants of health. (9) When data are gathered specifically for research, ethical debate tends to focus on the question of whether and how the process of obtaining consent can take into account uses of data that might not be envisioned at the time the participant is originally recruited, and the circumstances under which renewed or amended consent should be sought. …
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 machine sur la base complète
Imitation des enseignantsNi prévalence calibrée, ni vérité terrain. Validation humaine à venir. Le volet Gemma est une étiquette directe du modèle pour chaque travail de la base, lue sur la notice réduite au titre. Le volet Codex est un classifieur appris des 10 348 étiquettes directes de Codex et calibré sur les taux pondérés de l'échantillon; les champs sans appui suffisant ne portent aucun appel Codex. Le mode candidate est l'union des deux volets; le consensus est leur intersection. Ces sorties portent le statut machine_predicted_unvalidated et ne sont pas des étiquettes humaines.
Scores du classifieur distillé par catégorie (deux têtes)
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,030 | 0,044 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,005 | 0,009 |
| Études des sciences et des technologies | 0,004 | 0,031 |
| Communication savante | 0,026 | 0,055 |
| Science ouverte | 0,003 | 0,009 |
| Intégrité de la recherche | 0,012 | 0,010 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,007 | 0,001 |
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 source (Gemma direct ou Codex distillé), 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 ».