Transforming health through a learning health system

Source: https://cumming.ucalgary.ca/about/cumming-school-medicine/our-priorities/transforming-health-through-learning-health-system Parent: https://cumming.ucalgary.ca/

We support a learning health system that integrates evidence into health decisions and advances the Quintuple Aim (improving the patient experience of care; the health of populations; health equity; the health care provider experience; and value for money).

Objectives

1. Support Alberta’s health system to deliver on the Quintuple Aim
2. Lead the development of multidisciplinary care models, particularly the primary care home
3. Become the leading health data analytics centre in Canada

Principles

• Integrate research and clinical practice
• Engage with patients
• Improve safety and quality
• Partner with Strategic Clinical Networks
• Incorporate health data and predictive analytics
• Promote workforce sustainability (urban and rural)
• Incorporate data science and clinical research
• Develop registries and clinical trials
• Evaluate strategic data governance and sovereignty

Strategies

1.      Collaborate with Alberta Health and Alberta Health Services to improve the learning health system

• Leverage the provincial ConnectCare deployment for decision support and pragmatic clinical trials
• Prepare an evidence-informed, comprehensive and real-time workforce plan for all the health professions
• Develop novel out-patient testing policies
• Devise and evaluate novel payment models for primary care teams

2.     Improve access to rural care

• Create health professional training hubs
• Sustainable workforce – increase in primary and generalist care providers
• Evaluate the differences in health status, health behaviours, health service use, costs and outcomes of rural and urban populations in Alberta, using data from AHS and primary care practices

3.     Develop CSM real world evidence platform

• Become a leading data analytics center in Canada by reducing barriers to data access and integrating multiple current data sources
• Evaluate opportunities to invest in artificial intelligence, machine learning and related technologies
• Enhance real-time data collection, integration, analysis and reporting and increase evidence-based decision making
• Implementation of One Child Every Child, Canada’s First Research Excellence Fund
• Increase data sharing for transdisciplinary scholarship and cross-faculty collaboration
• Identify opportunities for health and system improvement through tracking and analyzing patient outcomes
• Explore partnerships with other jurisdictions that have similar learning health system infrastructure
• Leverage machine learning and artificial intelligence methods to support clinical decision-making and enhance health outcomes in Alberta