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Enregistrement W3109907142

Cost analysis and Potential Reduction of Medication Errors Due to Implementation of CPOE & BCMA in the Fraser Health Authority

2018· article· en· W3109907142 sur OpenAlexaffvenueabout
Kane Christian Larson

Notice bibliographique

RevueUBC Faculty of Medicine medical journal · 2018
Typearticle
Langueen
DomaineMedicine
ThématiquePharmaceutical Practices and Patient Outcomes
Établissements canadiensUniversity of British Columbia
Organismes subventionnairesnon disponible
Mots-clésMedicineMedical emergencyPatient safetyHealth careOrder entryComputerized physician order entryEmergency medicineOperations management
DOInon disponible

Résumé

récupéré en direct d'OpenAlex

Medication errors are blunders in the patient treatment process that have the potential to cause harm. Currently, there are an estimated 70,000 preventable adverse events per year in Canada, and one-quarter of the events are related to medication errors; resulting in 700 deaths a year. The cost of these medication errors is estimated to be $2.6 billion per year in Canada, each preventable adverse drug event in a hospitalized patient is estimated to cost $4,685 CAD ($6,750 inflation adjusted to 2017) and increases the length of stay by 4.6 days.   The most frequently cited method for preventing medication errors is incorporating a closed-loop medication management system (CLMM). The ideal CLMM system seamlessly integrates information technology from automated dispensing devices (ADD), computerised provider order entry (CPOE), and bedside bar-coded medication administration (BCMA). The integration will enable each stage of the medication management process such as prescribing, transcription, dispensing, and administration to be consolidated into an efficient and save structure to optimize patient health. Given the significant capital investment required to implement CLMM, the question Fraser Health Authority executives may have is how many medication errors can realistically be prevented and is it worth the cost?   Fraser Health is British Columbia’s largest Health Authority, it is comprised of 12 acute care hospitals, 7,760 residential care beds, 25,000 staff, and had an operating budget of over $3 billion. Presently, Abbotsford Regional Hospital, Surrey Memorial, Royal Columbian, and Chilliwack Hospital have deployed ADDs, and the rest of the Fraser Health hospitals will eventually receive them; however, implementation of CPOE and BCMA is only in the planning stages.   When modelling the cost-benefit of a CLMM system, challenges include estimating the true number of medication errors (as these are often self-reported), estimating the cost of change management, and estimating the cost of inevitable implementation delays. In the published literature, economic analyses of the individual components of CLMM systems can be found. For example, the average cost of implementing CPOE in a single hospital is estimated to be $5.3 million ranging from $2.3 million for a hospital with less than 200 beds to $20.3 million for a hospital with more than 500 beds (the numbers are inflation adjusted to 2017 and currency converted to CAD). Nonetheless, investment in CPOE appears to be cost-effective over time, one NHS study showed that predicted effects of CPOE implementation on a 400 bed hospital had a net health valuations of 62 million CAD (currency converted and inflation adjusted to 2017) over a 5-year period . Another study at Brigham and Women’s Hospital (793 beds), where CPOE was pioneered, estimated a net benefit of $4.3 million CAD (inflation adjusted 2017) per year, just in time-savings with staff (unit clerks, nurses and pharmacists). With regards to improving safety, it is estimated that CPOE can reduce up to 50% to 88% of medical errors within US hospitals.   The other CLMM component that Fraser Health has yet to incorporate is BCMA, a technology that checks the 5 rights of medication administration (right drug, right dose, right route, right patient, and right time) at the bedside. BCMA has been shown to reduce medication errors by up to 49% to 51% and generate an annual savings of $2.2 million from time saving. Thus, we hypothesize that If a CLMM system was previously deployed in Fraser Health, a significant number of medication errors would have been prevented, partially or completely offsetting its cost. This analysis examines the potential benefits of implementing BCMA and CPOE in Fraser Health, a system that will already have ADDs.

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)0,005
score de la tête « metaresearch » (Gemma)0,001
Version: codex-gemma-dda1882f352aStatut de validation: machine_predicted_unvalidated
Catégories candidatesCharge utile insuffisante (le modèle a refusé de juger)
Catégories consensuellesaucune
DomaineSignal candidat: aucune · Signal consensuel: aucune
Devis d'étudeSignal candidat: Observationnel · Signal consensuel: aucune
GenreSignal candidat: Empirique · Signal consensuel: Empirique
Score de désaccord entre enseignants0,628
Score d'incertitude au seuil1,000

Scores Codex et Gemma par catégorie

CatégorieCodexGemma
Métarecherche0,0050,001
Méta-épidémiologie (sens strict)0,0000,000
Méta-épidémiologie (sens large)0,0010,000
Bibliométrie0,0000,001
Études des sciences et des technologies0,0000,001
Communication savante0,0000,000
Science ouverte0,0000,000
Intégrité de la recherche0,0000,000
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 Opus0,132
Tête enseignante GPT0,500
Écart entre enseignants0,367 · 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 tête enseignante, pas un consensus.

Devis d'étudeObservationnel
Domainenon disponible
GenreEmpirique

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

En bref

Citations0
Publié2018
Routes d'admission3
Résumé présentoui

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