A148 EFFICIENCY IN THE ENDOSCOPY UNIT: CAN WE ‘TURN AROUND’ ROOM TURNOVER?
Notice bibliographique
Résumé
Abstract Background Endoscopy units across Canada are being challenged to meet the growing demand for procedures despite limited resources, highlighting the need to optimize endoscopy unit efficiency. Earlier studies have found that non-procedural factors, such as room turnover, represent an ideal target to improve efficiency. Aims The objective of this research project was to identify practices that will improve efficiency for routine outpatient gastrointestinal (GI) procedures at Sunnybrook Health Sciences Centre (SHSC). There were 2 sub-aims: 1) to understand practices at Toronto hospitals that shorten room turnover time and 2) to describe the variation in room turnover time at SHSC. Methods Sub-aim #1: A survey of endoscopy units at five other Toronto hospitals was completed. Questions were designed to gain a better understanding of routine practices and any initiatives undertaken to improve room turnover efficiency. Sub-aim #2: Median room turnover time from April 2018 to March 2019, defined as ‘patient out’ to ‘patient in’, was reported in an anonymized fashion for the following categories: 1) by endoscopist, 2) by nurse, and 3) by unique endoscopist-nurse pair. Only data from routine outpatient endoscopic procedures (e.g. colonoscopy, gastroscopy, flexible sigmoidoscopy) were included. In order to evaluate turnover times by endoscopist-nurse pair, consecutive cases not performed by the same pair were excluded. Procedures affected by patient- and transportation-related delays were also excluded. Results Of the five centers surveyed, three allocated 5 minutes for turnover and two allocated 10 minutes. All centers reported tracking turnover time and four centers reported undertaking initiatives to decrease turnover time such as involving a flow team, hiring team attendants, and sharing performance data. Over the 12-month period, 2504 routine outpatient GI endoscopic procedures were performed at SHSC, with 803 cases meeting inclusion criteria. Median turnover time for the unit was 6 minutes, ranging from 5 to 9 minutes across endoscopists, 5 to 7 minutes across nurses, and 3 to 10 minutes across unique endoscopist-nurse pairs (Figure 1). Efficiency of endoscopist-nurse pairs did not correlate with the number of cases performed as a pair over the 12-month period. Conclusions Endoscopy room turnover times at SHSC are similar to those reported by other local centers, with important variation across endoscopists and nurses. The next phase of this study will involve directly observing each of the most and least efficient individuals and pairs and recording common practices. It is anticipated that these findings will enable us to identify efficient practices that should be incorporated into standard operating procedures and training for endoscopy room personnel. Funding Agencies None
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 | 0,009 | 0,055 |
| Méta-épidémiologie (sens strict) | 0,000 | 0,000 |
| Méta-épidémiologie (sens large) | 0,000 | 0,001 |
| Bibliométrie | 0,001 | 0,003 |
| Études des sciences et des technologies | 0,004 | 0,004 |
| Communication savante | 0,008 | 0,005 |
| Science ouverte | 0,003 | 0,003 |
| Intégrité de la recherche | 0,002 | 0,003 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,005 | 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 ».