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Enregistrement W107836202

Electronic health records as a threat to privacy.

2005· article· en· W107836202 sur OpenAlexaffabout
Glenn Griener

Notice bibliographique

RevuePubMed · 2005
Typearticle
Langueen
DomaineMedicine
ThématiqueEthics in Clinical Research
Établissements canadiensProvincial Laboratory of Public HealthUniversity of Alberta
Organismes subventionnairesnon disponible
Mots-clésInternet privacyGovernment (linguistics)SketchHealth carePatient portalPublic relationsElectronic health recordMasking (illustration)PharmacyBusinessMedicinePolitical scienceComputer scienceLawNursing
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Introduction Governments across Canada are investing millions of dollars into the creation of electronic health records systems. While these systems offer great promise of improving the nation's health care system, they also pose considerable risks to individual privacy. In this brief paper I hope to do two things. First, I hope to foster a clearer understanding of the risks. The risks are often misrepresented or misunderstood because of some prevalent misconceptions about the nature of the proposed electronic systems. For that reason, some explanation of the systems is needed. I use Alberta's Electronic Health Record as an exemplar. Once the nature of the risk is delineated, I sketch some of the steps which I believe are necessary for dealing with them. Alberta's Electronic Health Record--Wrestling with Misconceptions Discussion of a provincial or national electronic health record (EHR) often conjures up the image of a massive new database created by the government and containing a lifetime of one's health information. This picture is undoubtedly fostered by the loose descriptions which are so often offered by proponents of such systems. But it is mistaken on at least two significant counts. In the first place, there is no new warehouse of information. Rather, the Alberta's EHR is an electronic network that links the patient records which are collected and maintained by health professionals and by regional health authorities. The EHR provides a portal through which this information can flow from one care provider to another. Pharmacist Kumar, who operates a community pharmacy, can use his computer to obtain information about a patient from Dr. Lee's record. A crucial point to emphasize is that professional responsibility is maintained by those who have traditionally had responsibility for the collection, use and disclosure of health information. I will return to this point below. A second common misconception is that all information collected by any health professional will be made available through the data exchange system. This need not be the case, and at the present time it is not the case. For instance, the information which is currently available through the Alberta Electronic Health Record is merely a subset of the information which is available within Capital Health's netCARE. (1) And the information which is available through netCARE is itself just a subset of information which physicians and clinics in the region maintain within their own records. Simply stated, much of the health information collected in a variety of settings is not available through current electronic health records. Security and Electronic Health Records The creation of a network linking databases full of health information, information which most people find to be among the most sensitive, creates some new risks. Hackers may invade the system and view individuals' health information or--far worse--change it. Health records may be lost through computer failures. But electronic databases loaded with important personal information are now ubiquitous, and dangers such as these threaten all of them. We have developed confidence in our ability to deal effectively with these hazards. Why should we doubt our ability to manage threats to electronic health records using the state-of-the-art technology and practices developed for other arenas of the electronic environment? Electronic Health Records and Professional Responsibility As noted earlier, the EHR is not a massive new record; rather, it is a portal for the transfer of patient information. Information is collected and recorded by one health care provider and flows through this network to other health care providers. In one sense, the advent of the system changes nothing. Health care providers--be they individual professionals or large regional authorities--maintain responsibility for their patients' health information. …

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 enseignants

Ni 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.

score de la tête « metaresearch » (Codex)0,011
score de la tête « metaresearch » (Gemma)0,029
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Théorique ou conceptuel · Signal consensuel: Théorique ou conceptuel
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,435
Score d'incertitude au seuil0,865

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0110,029
Méta-épidémiologie (sens strict)0,0000,001
Méta-épidémiologie (sens large)0,0000,000
Bibliométrie0,0020,004
Études des sciences et des technologies0,0120,029
Communication savante0,0210,010
Science ouverte0,0030,006
Intégrité de la recherche0,0200,013
Charge utile insuffisante (le modèle a refusé de juger)0,0130,002

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 Opus0,342
Tête enseignante GPT0,538
Écart entre enseignants0,196 · 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

Classification

machine, non validée

Prédiction automatique; un appel candidat d’une seule source (Gemma direct ou Codex distillé), pas un consensus.

Les modèles n’ont appliqué aucune catégorie : rien dans la taxonomie ne correspondait à ce travail.
Devis d'étudeThéorique ou conceptuel
Domainenon disponible
GenreCommentaire

Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».

En bref

Citations6
Publié2005
Routes d'admission2
Résumé présentoui

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