Board 110 - Program Innovations Abstract Simulation in Healthcare Recruitment
Notice bibliographique
Résumé
Introduction/Background Developed in 2001 by McMaster University, the Multiple Mini Interview (MMI) approach is an interview format that uses short independent assessments, typically in a timed circuit, to obtain an aggregate score of a candidate’s non-cognitive skills, such as interpersonal, professionalism and ethical/moral judgment. Holland Bloorview Kids Rehabilitation Hospital, Canada’s largest paediatric rehabilitation facility, piloted a new approach utilizing simulation as an innovative way to meet recruitment needs, satisfying the need for efficiency and focus on a client and family centred approach. Holland Bloorview’s approach was to adapt MMI principles, adding simulation and working with clients and families as partners in the decision making process. Methods The interview circuit was made up of eight stations (including two rest stations) and mini interviews lasted five minutes, with a two minute preparation period preceding the interview. Of these eight stations, two were designated simulation stations. Each station consisted of one interviewer and one rater. Stations evaluated previous work related experience, communication, interpersonal, teamwork, conflict resolution and decision making skills. Behaviour management, creativity, innovation and client engagement abilities were also evaluated, with a focus on the candidate’s ability to demonstrate a link between the desired skill set and a client and family centred approach. Simulation in healthcare recruitment is leading practice in healthcare. Conclusion Eighteen candidate interviews were completed within three hours - resulting in an 83% reduction in direct interview time in comparison to traditional interview processes and a 30% increase in efficiency related to pre and post interview activities. Offers were extended within five business days following the interviews and 100% of the vacancies were filled. The simulation stations were designed to reflect job relevant scenarios. Overall, interviewers and raters believed the simulation stations to be the best measure of the candidate’s ability to manage critical interpersonal challenges inherent to the position. In our upcoming evaluation, we will be looking for positive linkages to support simulation stations as valid predictors of successful performance. At Holland Bloorview, we value the knowledge and experience of our clients and family and encourage their input and participation in decision making. Clients participated as interviewers and raters and contributed a unique perspective to the selection process. The adapted MMI approach to recruitment with simulation exercises has fostered collaboration across peer groups, integration of clients and families in decision making, built positive energy for simulation and resulted in time efficiencies. For organizations that recruit and have limited resources, this approach can facilitate positive change and foster collaboration within a unique framework. References 1. Eva, K. W., Rosenfeld, J., Reiter, H. I. and Norman, G. R. (2004), An admissions OSCE: the multiple mini interview. Medical Education, 38: 314-326. 2. Lemay, J.-F., Lockyer, J. M., Collin, V. T. and Brownell, A. K. W. (2007), Assessment of non-cognitive traits through the admissions multiple mini-interview. Medical Education, 41: 573-579. Disclosures Holland Bloorview Kids Rehabilitiation Hospital.
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 enseignantsNi 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.
Scores Codex et Gemma par catégorie
| Catégorie | Codex | Gemma |
|---|---|---|
| Métarecherche | 0,005 | 0,001 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,000 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,001 | 0,004 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,002 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,001 | 0,002 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,000 |
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.
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 tête enseignante, 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 ».