Where to start: Building a foundation of engagement to support healthcare transformation.
Notice bibliographique
Résumé
Introduction: Healthcare transformation is rooted in engagement, engaging people with context and content expertise to shape and co-design programs, services, and systems. The question that is often asked is where do we begin? To offer person centered integrated care, organizations are seeking to understand the needs, experiences, and expertise of those accessing care by building meaningful partnerships with patients, families, and care partners. This workshop will provide attendees with tools, resources, and a roadmap to support building partnerships with people with lived and living experience and engagement models, practices and principles that will support co-designing a healthcare system that is equitable, culturally safe and patient centered. Background: The Greater Hamilton Health Network (GHHN) is one of the first Ontario Health Teams across the province, with a purpose of transforming healthcare in partnership with patients, families, care partners, primary care, local organizations, and the community that is equitable, culturally safe and patient centred. Aims and Objectives:This workshop will provide attendees with an understanding of where to begin when looking to develop an engagement strategy and embed engagement practices and principles into their work at an organizational and system level. With a strong focus on how to develop partnerships with patients, families and carepartners, support patient advisors in their roles, build capacity and integrating lived experience on the team and throughout governance. We will provide examples and outcomes of how engagement has been implemented and successfully used at the GHHN and explore how learnings could be replicated. Emphasis will be placed on how to move from theory into practice. Target audience:This workshop is open to everyone and will work to provide meaningful learning, unlearning, relearning and reflection opportunities for staff, primary care, community organizations, leadership and people with lived and living experience seeking to transform healthcare with engagement as the foundation. Format (timing, speakers, discussion, group work, etc) 5 minutes- Overview of GHHN and introductions 5 minutes- Purpose of Workshop and Objectives 10 minutes-Why Engagement in Healthcare (Benefits, Outcomes) -Patient Advisor example of engagement -Popcorn: common myths of engagement and the real benefits 20 minutes-Building an Engagement strategy and leadership network to support healthcare transformation 10 minutes- Onboarding, integrating lived experience on the team and throughout governance. -Resource package -Activity: Personal Reflection exercise 10 minutes- A culture of engagement that supports providers, patients, families and care partners 20 minutes: Activity: barriers and pathways empathy map exercise (patient, org, staff) 5 minutes- Closing: call to action 5 minutes- Questions Key Learnings/Take away: Patient engagement is a quantifiable measurement of healthcare, offering insights into what is working well and opportunities for growth. This workshop will focus on understanding practical examples of: Models of engagement Engagement strategy Onboarding and capacity building Developing an engagement leadership network Engagement roadmap Meaningful Engagement
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 | 0,035 | 0,029 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,002 | 0,001 |
| Études des sciences et des technologies | 0,015 | 0,031 |
| Communication savante | 0,019 | 0,020 |
| Science ouverte | 0,004 | 0,034 |
| Intégrité de la recherche | 0,007 | 0,012 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,016 | 0,004 |
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 ».