Health informatics
Workflow, interoperability, data requirements, measurement design, and decision-support approaches grounded in how care is delivered.
Health informatics · Health policy
Dr. Kola Adegoke works across health informatics, policy evaluation, outcomes research, implementation, and organizational leadership—turning complex questions into practical decisions, measurable programs, and usable systems.

At the intersection
The strongest health decisions connect evidence to the systems, people, and operating conditions that determine whether an idea succeeds in practice.
Workflow, interoperability, data requirements, measurement design, and decision-support approaches grounded in how care is delivered.
Rigorous questions, defensible methods, administrative data, and transparent interpretation for consequential policy decisions.
Clear theories of change, measurable indicators, mixed-methods evidence, and reporting built for accountability and learning.
Practical workflows, governance, milestones, quality controls, and handoffs that help evidence survive contact with the real world.
Current leadership
My work sits across enterprise, research, and mission-driven settings, with a consistent focus on clarity, accountability, and measurable improvement.
Health informatics, program evaluation, outcomes research, and implementation advisory work for healthcare and public-interest organizations.
Visit Bimkorlings Consults →Mission-driven leadership supporting health equity, digital inclusion, health education, applied research, and community empowerment.
Visit Coasterners Health →Community pharmacy and health-systems work connecting service delivery, data, measurement, and implementation.
Visit Coasterners Pharmacy →Featured publication
A difference-in-differences analysis examined whether Maryland's all-payer global budget revenue model changed hospital margins and revenue per discharge relative to Massachusetts from 2010 through 2023.
Working principles
Technical quality matters. So do the decisions, workflows, and people that the evidence must serve.
Clarify the choice, audience, and consequence before selecting the method.
Document limitations, definitions, and tradeoffs so confidence is earned.
Translate findings into tools and workflows that teams can actually operate.
Connect outputs to outcomes, equity, service quality, and accountability.
A clear next step
I work best where evidence must lead to action—across health informatics, evaluation, research, and implementation.