1. It takes a team: Collaboration Inside and Out
- Date: 2022-10-12
- Concurrent Session: Concurrent Session A
- Time: 11:00 - 11:45 am
- Room:
- Style: Presentation (information provided to audience, with opportunity for audience to ask question)
- Focus: Balance between both (e.g. Presentation of a best-practice guideline that combines research evidence, policy issues and practical steps for implementation)
- Target Audience: Leadership (ED, clinical lead, board chair, board member, etc.)
Learning Objectives:
- Plans for work to assign routinely collected data in EMR encounters to IHPs on a large scale
- Methods for analyzing these data
- Questions that could be answered and that may be important to advancing the goals of AFHTO
Summary/Abstract:
Interprofessional Healthcare Providers (IHPs) are key members of interprofessional teams. Disciplines include nursing, social work, clinical pharmacy, dietetics, chiropody and more. IHPs run programs that include, amongst others, diabetes education, mental health supports, and smoking cessation. However, the impact of patient encounters by IHPs and IHP-led programs on health outcomes at a larger scale is challenging to capture. Billing data are often used to measure and monitor services to patients provided by physicians on a provincial scale. Since IHPs do not bill OHIP, these data are of limited value for examining their work. Standardized, cleaned, and curated provincial-level EMR data for analytics are now increasingly becoming available through the Primary care Ontario Practice-based Leaning and Research Network (POPLAR, www.poplarnetwork.ca ), using the POPLAR Data Platform. We propose the development of methods to classify IHPs in EMRs using a standard taxonomy, assign encounters in EMRs to these IHPs, examine text in these encounters using natural language processing and use the information to correlate patient outcomes and IHP activity. Data are securely collected from consenting practices across many Ontario FHTs, merged, processed and curated into a de-identified database; data are analyzed in a Trusted Research Environment at the Centre for Advanced Computing, Queen’s University. We will correlate documented care provided by IHPs with diabetes-related outcome measures (blood pressure control, A1c levels, statins, etc.) as an initial proof-of-concept project.
Presenter:
- Michelle Greiver, Lead, POPLAR, University of Toronto
- Kevin Samson, Lead, QI Program, AFHTO
- Raveen Bahniwal, QI Program, AFHTO