Unleashing Synergies and Alliances – Making Sense of the Alphabet Soup
Notice bibliographique
Résumé
Introduction: Learn how our Health System Integration team is exploring how to collaborate with and animate various, diverse teams who are eager to build capacity and strengthen Integrated Care. Target: Our HSI mission is to “help Albertans be as healthy, well and independent as they can be in their homes and communities” at a macro and meso system level. An essential element of IC is robust health and social care networks. As such, HSI enables partnerships with academic, health system, social care, community, government and the third sector leaders and teams. Involvement/Engagement: The HSI team has actively collaborated with multiple system leaders and teams supporting the mission. Realizing the complex interaction with health and social care occurs through many modalities (family, clients and family caregivers, neighborhoods, communities, the volunteer sector, municipalities, many provincial and federal government ministries, primary care, and even business) we promote greater integration, and the importance of co-defining, co-design and co-evaluating. What has Happened: HSI collaborates alongside a wide range of partners and teams working towards IC, particularly those that enable community and upstream action on the social determinants of health. With a view to reducing illness and the need for illness care, the team is strategic in facilitating ongoing conversations with multiple local, national, and international partners. This works towards advancing health system wide structures, achievements, networks and conversations focusing on upstream approaches such as integrated cross-settings approaches (Healthier Together), Asset Based Community Development (ABCD), Supporting Family Caregivers, Social Prescribing, Social Determinants of Health (SDOH), Quintuple Aim, Accreditation Canada People-Centred Care Standard, Adverse Childhood Experiences (ACEs), Enhancing Local Decision-Making, and social factors within the province-wide electronic medical record called Connect Care. Results/Impact: Our engagement has been met with robust interest and enthusiasm. Connections have led to other new connections who shared mutual interest and partnerships, joint research initiatives, joint operational initiatives, communities of practice and inform strategy. Importantly, our decision-maker colleagues have also been able to directly enact policy changes such as enhancing transportation opportunities, initiating social prescribing programs, and municipal well-being built and social infrastructure. Significantly, AHS has recently identified health system integration as one of its top five strategic priorities. Learnings: First, relationships have been key in establishing goals and supporting key opinion leaders, influencers, and key organizations. Taking time to agree on a shared vision has proved to be of critical importance. Participation with local AHS Health Zone service planning who have increased focus on SDOH and ABCD, requires deep listening and collaboration with sectors and community. Next Steps: Our goal is to continue IC conversations, alongside other community partners/systems working in this space. We will highlight strategies to collaborate with community, citizens, families and care providers as equal partners using co-design, co-production and co-evaluation principles. We will continue to create space for teams to learn and explore what has worked well and where there are opportunities for improvement.
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 | 0,016 | 0,034 |
| Méta-épidémiologie (sens strict) | 0,001 | 0,001 |
| Méta-épidémiologie (sens large) | 0,001 | 0,001 |
| Bibliométrie | 0,004 | 0,002 |
| Études des sciences et des technologies | 0,029 | 0,046 |
| Communication savante | 0,027 | 0,028 |
| Science ouverte | 0,003 | 0,027 |
| Intégrité de la recherche | 0,006 | 0,009 |
| Charge utile insuffisante (le modèle a refusé de juger) | 0,023 | 0,005 |
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 ».