Supporting a population health approach in primary care: can electronic health records act as patient registries to support integrated mental health care?
Bibliographic record
Abstract
Background: The Thames Valley Mental Health and Addiction Collaborative Care Network is a proof-of-concept initiative between psychiatry, primary care, and community mental health to create an integrated care network. Grounded in practice-based population health management, we have been working to leverage primary care electronic health records (EHRs) as point of care registries. Audience: Health system leaders, designers, planners and clinicians, especially in the areas of primary care, mental health and digital health. Approach: The Thames Valley Mental Health and Addiction Collaborative Care Network is a proof-of-concept initiative between psychiatry, primary care, and community mental health and addictions in the London, Ontario region to create an integrated care delivery network, within existing resources. Our unique model of collaborative mental health care incorporates the key collaborative care elements (based on the University of Washington AIMS Centre), with a strong population health focus, delivered within a team-based primary care setting. Practice-based population health management (PB-PHM) has been identified as an important component for the management of chronic disease within primary care. A key enabler of PB-PHM is a patient registry which can support the identification of patients within a target population, provide prompts and reminders about preventative health care, and inform quality improvement practices. However, there is limited information available about how to implement such registries and current primary care EHRs have limited functionality in this regard. This workshop will introduce the audience to population health management, describe the elements of a point-of-care registry and describe our journey of co-designing a point-of-care registry using primary care EHRs. This interactive workshop will introduce participants to the concepts of population health management and the role of patient registries in supporting an equity driven quadruple aim. Through the use of design thinking tools, participants will explore the jobs to be done in practice-based population health management and discuss the ways in which existing electronic health records can support patient segmentation, preventative care, chronic disease management and patient engagement in a team-based primary care setting. The presenters will review limitations of the currently available tools, the primary care practice environment and opportunities for future development. Outline for 60 minute workshop- 5 minutes Introduction- 5 minutes describing the collaborative care model, principles of population health management, and elements of a patient registry- 30 minutes - through the use of design thinking tools, participants will explore the jobs to be opportunities and challenges implementing PB-PHM and discuss the ways in which existing electronic health records can be developed as registries- 0 minutes - summary of lessons learned and take-awaysOutcomes: Following this presentation, participants will be able to: Understand the components of population health management in the context of integrated health systems Describe how practice-based population health management and patient registries can enhance chronic disease management within a primary care setting using the example of collaborative mental health care Identify the ways that existing primary care electronic health records (EHRs) can support practice-based population health management Describe the challenges and opportunities with current primary care EHRs and practice context in designing patient care digital registries
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How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.001 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.001 | 0.000 |
| Bibliometrics | 0.001 | 0.001 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.001 |
| Insufficient payload (model declined to judge) | 0.000 | 0.000 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; a candidate call from one teacher head, not a consensus.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".