Conference Presentation: Destination: Patient Outcomes – Our Journey to Improving Patient Care
Systems Thinker Approach: Finding, Analyzing, and Gathering Data Insights for Modern Continuing Medical Education
Sunday, January 21
1:30 PM - 2:30 PM
Location: Mediterranean 2
Physician Credits: 1.0
Nursing CE Credits: 1.0
Pharmacy Credits: 1.0
ACPE UAN: 0809-9999-18-055-L04-P (Knowledge)
Bonny McClain, MSc, DC
Data-preneur informed by health economics, public policy, and clinical medicine
Data & Donuts
Greensboro, North Carolina
Co-Founder and Presdient
Health Advocacy Partners
Data gathered from medical education professionals lists lack of data numeracy as a quantifiable barrier to developing robust needs assessments, pre- and post-activity outcomes questions and analyses, as well as meaningful metrics for evaluation of learning frameworks and lifetime learning opportunities. Continuing Medical Education is uniquely positioned to partner and guide physicians from empiric therapy recommendations to point of care patient-centered care. The complexity of alternative payment models, electronic medical record integration, social determinants of health and evolving policy recommendations both in Medicare and Medicaid as well as commercial models has created a data void to inform not only improved patient outcomes but also the health of our communities.
Participants will learn about a variety of data sources and tools available for informing care in the modern healthcare ecosystem. How to formulate a 360 degree healthcare question relevant for decision making and what solutions work best in each scenario. When should we look to health economics and outcomes research? What are the pros and cons of randomized controlled studies, observational studies, and HEOR?
The expanded context of policy both upstream and downstream from disease, an evolving clinical landscape with advanced genomic studies, food policy, and a dynamic regulatory framework will benefit from a system thinking approach to data and medical education.
It would be appropriate to define the precise application of system's thinking as applied to the development of this educational session. As defined by Arnold and Wade "Systems thinking is a set of synergistic analytic skills used to improve the capability of identifying and understanding systems, predicting their behaviors, and devising modifications to them to produce desired effects. These skills work together as a system."
In a simplified lexicon, I applied systems thinking to the complexity of healthcare by attempting to incorporate multiple perspectives (payer, patient, provider, government, industry...) and use data to demonstrate inter- and intrarelationships and dependencies--we need to look at the complex problem and use data to reliably predict the impact of change to the system. What can data illuminate about the role of biosimilars, biologics, novel drugs, and genetic variants? Let's find out...
- Identify evidence-based sources of data to inform a 360 degree perspective of a learning research question
- Integrate simple maths into routine calculations to evaluate rigor and accuracy of published literature, datasets, and registry data
- Liberate the story and insights from data by creating a powerful narrative to patient level outcomes