Jarrod Bullard
Sr. Research Data Scientist, Strategic Evidence Generation
Jarrod is a Senior Research Data Scientist with RTI Health Advance.
Jarrod has 5+ years of experience in health services research and big data analytics. Jarrod’s passion includes leveraging complex, fragmented healthcare data to gain insight for opportunities to improve care delivery processes and subsequent patient outcomes and quality of life. Jarrod has extensive experience in experimental and observational research study design and employing various rigorous statistical methodologies best suited for analytic and evaluative purposes as well as developing and validating predictive, risk stratified models. Jarrod’s additional expertise involves building interactive dashboards and data visualizations and utilizing spatial analysis methodologies to identify geographical gaps and opportunities in healthcare.
Prior to joining RTI Health Advance in 2022, Jarrod worked as a Data Scientist with the Atrium Health healthcare system based in Charlotte, North Carolina. There he supported quality improvement related research across the continuing care service areas and readmissions at the enterprise level. His work assisted clients in identifying patients who might benefit from end-of-life care interventions early on, identifying high utilizers across the enterprise and prevention of subsequent acute care utilization and readmission outcomes, and developing quality improvement related metrics and assistance with annual goal calculations and tracking performance.
Jarrod holds a PhD in Health Services Policy and Management with a concentration in Epidemiology from the University of South Carolina and a BS in Biology with a Biomedical emphasis and MPA with a Health Administration concentration both from the University of North Carolina at Pembroke. Jarrod also has an adjunct faculty position in the MPH@UNC program with the Gilling’s School of Global Public Health at the University of North Carolina at Chapel Hill.
Industry Outlook
Enhancing Rigor In Evidence Generation For Health Interventions: ISPOR 2023
ISPOR is the foremost conference highlighting global accomplishments in health economics and outcomes research (HEOR). Read on to learn key lessons from this year's event.
Evidence Generation
Making And Proving The Business Case For Investing In Health Equity
Investing in health equity is a new endeavor that creates a set of planning, budgeting, and operational challenge. See how to make the business case.
Social Determinants Of Health
Comparing SDoH Area-Level Indices Of Social Risk
Learn about social determinants of health indices, how they're used, and which ones to choose with this article's review of 5 prominent indices.
Evaluating The Economic Impact Of Digital Therapeutics
Are you experiencing challenges evaluating the economic impact of digital therapeutics? Here's guidance to choose the best data and assessment models that demonstrate value.
Addressing Both Sides Of SDoH: Modifiable & Non-Modifiable Factors
There are two sides to SDoH. We can organize these into modifiable and non-modifiable factors. Learn more about what these factors include.
Data-Driven Methods For Improving Patient Experience Among BIPOC Communities
Learn why cultural sensitivity leads to better outcomes and how to leverage your data to achieve them in this installment of our three-part health equity series.
Comparing Health Equity & SDoH Indices
There is an enormous number of SDoH- and health equity-related indices. Read more about these indices and recommendations for making sense of the data here.
Collaborative Patient-Provider Relationships Lead To Better Outcomes
Having providers work alongside community-based organizations to foster ongoing understanding & support is key to greater patient satisfaction. Learn more.
Provider-Based Cultural Approaches To Health Equity
Providers are expanding their approach to health equity. Learn more about a subtle yet powerful approach known as cultural humility here.
Where Data Science Meets Health Equity: Understanding The Social Drivers Of Health Outcomes
RTI Rarity™ supports targeted interventions and more accurate risk adjustment required for value-based contracts that entail more risk. Learn more.
Improving Collection Of Self-Reported Race & Ethnicity Data
Race and ethnicity data lack robust consistency, availability, and accuracy. We help clients improve self-reported race & ethnicity data collection.
How To Minimize Bias Among BIPOC Patients With Culturally Competent Care
Providers who deliver culturally competent care better serve BIPOC patients by minimizing bias, improving satisfaction & health outcomes. Learn more.
Extremely Local Level Data Key In Mapping Health Equity Gaps
Research shows that exploring data on an extremely local level offers key insights that lead to more effective health equity interventions. Learn more.
Using Cultural Humility To Address Rural Mental Health Gaps
Mental health services are in short supply. As rural areas become more diverse, it's imperative to address growing needs in culturally humble ways.
Three-Step Approach To Selecting Population Health Interventions
This article explores ways to research, strategize, and choose evidence-based interventions for a population health initiative.
Cultural Humility Improves Patient Experiences, Health Outcomes, Hospital Readmissions
Cultural humility opens the doors for more compassionate, informed care, and better health outcomes. Learn more about cultural humility in healthcare here.
Robust Data Analytics Delivers New Levels Of Population Health Value
Analytics is the workhorse of population health management. Learn how more sophisticated healthcare data analytics capabilities and tools extend PHM value.
Building A More Mature Population Health Management Model
Maximizing population health management's value – to populations, individuals, & healthcare organizations – requires a more mature data model. Learn more.