Notice bibliographique
Résumé
The theme of the congress was Quality and Innovation in the 21st Century: Challenges and Opportunities.The special issue contains papers on many interesting topics.Quality and innovation is the central theme.It has a mixture of theoretical, practical and those that are rooted in conceptual framework thinking for improving health-care organizations.Leadership is at the core of all issues discussed.The papers represent very timely topics that are currently hotly debated and discussed throughout North America and in other parts of the world, that is, the quality and patient satisfaction must improve and costs must go down.The first paper discusses how leveraging supply chain infrastructure can advance patient safety in community-based health-care settings.The authors argue that while the majority of patient safety studies in Canada and abroad have focused on safety in hospital settings, deaths and harm experienced by patients in the community settings (home care, long-term care, complex care and rehabilitation) are less well understood.The authors suggest that improving system infrastructure would reduce the occurrence of adverse events.According to them, the visibility across the continuum of care holds the potential to transform health care in Canada rather than a fragmented system where information is inadequately captured and transferred from provider to provider, to a system that would provide complete, accurate and up-to-date information of patient care, procedures, medications and outcomes to inform the best and safest care possible.The second paper presents a comprehensive approach for studying organizational culture using "soft measures" to facilitate sustainable quality development.The author's work consists of a number of different methods to collect soft data that influences the culture and the leadership within three organizations that were shown statistically significant with positive changes in organizational work culture only after a short period of one year.The next paper is about improving patient flow in an emergency department of hospital using lean methodologies.The emergency department overcrowding (EDOC) and increased length of stay (LOS) have been key global issues for more than 20 years with many serious repercussions.Guided by the Lean management concepts, the author proposes solutions that fall under three themes: ensuring effective triaging of all patients, reducing the total number of patients referred to observation room and reducing maximum LOS and wait times in observation room.The solutions address the vital few causes of the EDOC and prolonged EDLOS that are critical to solving ED problems.The fourth paper is about developing a model for measuring effectiveness of quality management practices in health-care organizations.Health care is the example where the needs of potential clients often exceeds the capabilities of the service delivery system.
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 | 0,000 |
| Bibliométrie | 0,000 | 0,001 |
| Études des sciences et des technologies | 0,001 | 0,000 |
| Communication savante | 0,000 | 0,000 |
| Science ouverte | 0,001 | 0,000 |
| Intégrité de la recherche | 0,004 | 0,005 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,000 | 0,003 |
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; les deux têtes enseignantes s’accordent sur ce qui est montré ici.
Le détail, modèle par modèle et score par score, se trouve en fin de page sous « Comment cette classification a été obtenue ».