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Enregistrement W781871830

NIECR--a quiet revolution.

2015· editorial· en· W781871830 sur OpenAlexaboutno aff
John Purvis

Notice bibliographique

RevuePubMed · 2015
Typeeditorial
Langueen
DomaineHealth Professions
ThématiqueElectronic Health Records Systems
Établissements canadiensnon disponible
Organismes subventionnairesnon disponible
Mots-clésWonderDeskMedicineLawPsychology
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

If someone was to ask you to consider important advances in medicine, perhaps like me, you would think of Fleming's discovery of penicillin in the 1940s or the introduction of the portable defibrillator by Pantridge and team in the 1960s. I wonder if you would include today's health gadgets like the Fitbit.(1) Another, quieter gradual revolution is going on in Northern Ireland at the minute.(2),(3) When I started my Consultant career in 1995, it was quite commonplace for a query from a general practitioner to require access to the notes which might take about a month to arrive back with me from Medical Records (who knows what journey those notes went on). My answer to the query would then be dictated on to a cassette tape which would then join a row of similar tapes in a little plastic rack until my secretary reached the correct one. If the GP, frustrated by the delay, rang to find out what was happening, my secretary had to listen to the entire tape from the beginning to find the right segment. All of this seems faintly ludicrous some 20 years later, sitting in my home office, dictating into a desk microphone and watching these words appear a second later on my PC. The 6 Trusts in Northern Ireland are responsible for the healthcare of 1,800,000 people. Care is becoming more complex and often patients will attend more than one hospital site during their treatment. Many patients require intricate medication schedules which are changed frequently by general practitioner or hospital doctor. The “analogue era” of the 1990s can no longer meet our needs. The Northern Ireland Electronic Care Record project was initially mooted in 2005 as a solution to these problems. It was recognised that one Trust alone could not afford to develop the infrastructure required for a viable project. In 2008, site visits to innovative centres in the USA and Canada led to a regional ICT programme board approving a “proof of concept” trial involving case records in Belfast City Hospital, Ulster Hospital Dundonald and 2 large family practices. The project went “live” in January 2010. The aim of NIECR was to provide a single portal for viewing multiple sources of clinical information via a single logon to a single system which would eventually replace the multiplicity of laboratory, imaging, clinical and pharmacy applications that one must switch between to have a meaningful clinical encounter. Converting information held in isolated proprietary systems proved to be a major hurdle for NIECR but so far, more than 16 separate patient information systems have been incorporated into the dataset and there are plans to incorporate not only imaging reports but also the digital image files themselves. Consent to release of data and auditing of access formed a central part of the project with administrators able to review audit trails, especially in the setting of a “break the glass” privacy override. 5000 patient records were reviewed in the “proof of concept” phase. 78% of accesses were with full patient consent and 20% were with privacy overrides. 120 patients opted out of the system through their family practice – none opted out from a clinical setting. 74% of doctors surveyed felt that the new system led to a more rapid and correct diagnosis and 33% reported occasions when the system drew attention to a possible adverse event such as prescribing medication with a history of allergy. Following the successful evaluation phase, NIECR started rolling out across the province in 2012. The system works using a master patient index number based on a unique 10 digit “H&C” number – old hospital number prefixes like CAH, AH or RV are becoming relics of the past. Since roll-out, the system has become widely adopted throughout the province and the statistics are quite staggering:

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)0,003
score de la tête « metaresearch » (Gemma)0,008
Version: metacan-v3-hybrid-931329e0061cStatut de validation: machine_predicted_unvalidated
Catégories candidatesaucune
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Sans objet · Signal consensuel: Sans objet
GenreSignal candidat: Éditorial · Signal consensuel: aucune
Score de désaccord entre enseignants0,239
Score d'incertitude au seuil0,801

Scores du classifieur distillé par catégorie (deux têtes)

CatégorieCodexGemma
Métarecherche0,0030,008
Méta-épidémiologie (sens strict)0,0010,000
Méta-épidémiologie (sens large)0,0010,001
Bibliométrie0,0010,001
Études des sciences et des technologies0,0060,002
Communication savante0,0140,008
Science ouverte0,0010,010
Intégrité de la recherche0,0050,008
Charge utile insuffisante (le modèle a refusé de juger)0,2390,161

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 Opus0,083
Tête enseignante GPT0,414
Écart entre enseignants0,331 · 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'étudeSans objet
Domainenon disponible
GenreÉditorial

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

En bref

Citations1
Publié2015
Routes d'admission1
Résumé présentoui

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