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Enregistrement W2260933185 · doi:10.4300/jgme-d-15-00569.1

Medium, Message, Panopticon: The Electronic Health Record in Residency Education

2016· letter· en· W2260933185 sur OpenAlexaff
Rachel Ellaway

Notice bibliographique

RevueJournal of Graduate Medical Education · 2016
Typeletter
Langueen
DomaineHealth Professions
ThématiqueElectronic Health Records Systems
Établissements canadiensAlberta Health Services
Organismes subventionnairesnon disponible
Mots-clésAuditHealth careClinical governanceInformation governanceChampionWork (physics)Medical recordPublic relationsMedicineBusinessInternet privacyMedical educationInformation systemComputer scienceManagement information systemsPolitical scienceEngineering

Résumé

récupéré en direct d'OpenAlex

Within a single generation, medical records and record keeping have switched from paper to electronic media. Physician workflows have changed to accommodate a wide range of new e-health systems, including electronic health records (EHRs), hospital information systems, and picture archiving and communication systems. These technologies now pervade much of contemporary clinical practice, mediating the information flow in and around the provision of patient care. Many champion the benefits of e-health, such as greater efficiency and better use of data.1 Many also criticize its shortcomings, such as increased costs, interference with patient communication, and systemic data errors.2 The debate continues apace.One key impact of the move to e-health systems has been a shift of responsibility and effort regarding the creation and management of patient health data. In a systematic review of the utility of electronic patient records (EPRs), Greenhalgh and colleagues observed that “even though secondary work (audit, research, billing) may be made more efficient by the EPR, primary clinical work may be made less efficient . . . creating accurate and complete clinical records requires the sacrifice of time and effort by frontline clinical and administrative staff [which is] justified by more benefits for efficient business processes (eg, billing), governance, and research.”3 It may be surprising to the uninitiated that patients and physicians are not necessarily the main beneficiaries of e-health systems. This, in turn, raises many questions about the ethics and effects of these technologies on residency education.The article by Chen et al4 in this issue of the Journal of Graduate Medical Education reports the findings of a study that used the log data generated by first-year internal medicine residents' mouse clicks and keystrokes using the institutional EHR. The research showed that the average time spent on the system was approximately 7 hours per day in July, which fell to 5 hours per day by January. The authors hypothesized that this was due to the residents' increased competence and confidence in using the EHR system, even though their study did not explore whether this was actually the case.Thus, we have a detailed profile of resident interactions with an EHR over time, but little information on the residents' experiences of using the system. We also know little about how trainees' use of the EHR relates to their clinical training. It is notable that, although residents in the study received training on how to operate the EHR at the start of the year, there was no mention of any subsequent teaching or professional development around EHR use. Indeed, based on the information available, it would seem that the EHR was a nonnegotiable part of the work flow of the residents in this study, rather than part of the formal curriculum. Competencies related to the use of e-health would therefore seem to be a part of the informal or hidden curricula, rather than something explicitly linked to trainees' professional development. That these residents spent a major part of their days using the EHR system, and that this activity was not—as far as we can tell—explicitly related to their training, raises further questions regarding the balance between service and training and who benefits (or should benefit) from this activity. To paraphrase Marshall McLuhan, it seems that the EHR medium is very much a message but one to which we are perhaps paying too little attention.5As much as we might question the relevance of using an EHR for residency training, there is another, perhaps larger, issue: the use of syntactic log data to monitor how health professionals use EHRs and other e-health technologies. Tracking and monitoring are key aspects of Internet technologies,6 and Chen et al have illustrated this power by using the logs of individual residents' clicks and keystrokes to make inferences about their behaviors and the value of those behaviors.4 It should be noted that Chen et al are not the only researchers to use log data to make inferences about clinical behaviors;7 there seems to be a growing acceptance of this approach. Most clinical activities are ephemeral (unless captured on video), and their value depends on whether and how they were observed, as well as on their outcomes. The use of e-health systems is a radical departure from this, as every single user action is recorded for future analysis and interpretation. An EHR is therefore a panopticon: a system that allows the few to observe the many, without the latter being aware that they are being observed.There are many potentially beneficial uses of panoptic technologies, such as preventing errors and flagging suboptimal practices. But there are also less desirable uses, such as obliging users to change their behaviors to conform to institutional norms based on factors such as cost or time rather than optimal patient care. This is further complicated by clinicians' awareness that they are being observed and tracked. This may lead them to change their behaviors using these systems to portray themselves in a more favorable light. While one might hope that this oversight would lead to clinical quality improvement, it is just as likely to be a syntactic response: users who game the system also tend to distance themselves from the moral and ethical consequences of their actions. If unaddressed, these issues will only add to the informal and hidden curricula of e-health in residency education.How residents are being prepared for practice in an e-health mediated world is an important question, perhaps one of the most important questions facing us today. Larger studies are required to explore these issues more thoroughly. For instance, we need to compare and contrast residents' qualitative experiences and their quantitative use of EHRs across multiple programs to begin to appreciate the impact e-health is having on residency education as a whole. More importantly, we need to be paying a lot more attention to the intersections between e-health and the professional development of tomorrow's physicians. If, as it seems, e-health is changing the ecology of residency training, then we need to be a lot better informed and prepared to deal with its consequences.

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 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)0,017
score de la tête « metaresearch » (Gemma)0,008
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesMéta-épidémiologie (sens strict), Intégrité de la recherche, Charge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesIntégrité de la recherche
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Commentaire · Signal consensuel: Commentaire
Score de désaccord entre enseignants0,284
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0170,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0010,001
Études des sciences et des technologies0,0010,000
Communication savante0,0000,000
Science ouverte0,0010,000
Intégrité de la recherche0,0020,017
Charge utile insuffisante (le modèle a refusé de juger)0,0010,000

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 Opus0,065
Tête enseignante GPT0,457
Écart entre enseignants0,391 · 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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.

Devis d'étudeSans objet
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

Citations5
Publié2016
Routes d'admission1
Résumé présentoui

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