Humanizing Clinical Intelligence
Doctors ignore most health tech because the tools add friction instead of clarity. I led end-to-end research and design strategy for a physician-facing product that surfaced the right clinical insights at the right moment. By aligning clinical psychology, data modeling, and workflow design, we turned scattered data into trusted signals — driving organic adoption across 21 hospitals and moving our national asthma care ranking from #292 to #3.
Design Lead
Lindsey Roth
Why Consumer Apps Succeed Where Medical Software Fails
Doctors use Netflix, Spotify, and iPhones at home — then walk into clinics filled with clunky, decades-old systems. These tools bury insight under friction, draining time and eroding trust. But when software reduces complexity instead of adding it, better care becomes possible.
Asthma management was a perfect example: doctor visits are pivotal moments for behavioral change, yet patient data was inaccessible — which meant asthma was overlooked until an emergency made it impossible to ignore.
What if clinical products could surface the right information as intelligently as Netflix suggests your next show?
Understanding Clinical Complexity and User Needs
I partnered with clinical advisors to anchor our solution in one meaningful signal: the Asthma Medication Ratio (AMR)—a predictive indicator that could guide decisions without overwhelming providers.
To build around this metric, I led mixed-methods research blending analytics, ethnography, and behavioral science:
Analyzed AMR patterns across locations to identify where asthma care was excelling or falling short —spotlighting success models and priority sites for deeper fieldwork.
Shadowed clinicians to uncover pain points and observed what made some physicians more effective at surfacing asthma care opportunities in time-constrained visits.
Spoke with clinicians and consumers to decode what made health conversations “stick” — revealing psychological cues that helped translate information into action.
Applying Netflix Psychology to Clinical Intelligence
By bringing the simplicity and intelligence of consumer apps to complex clinical systems, we designed a product that reduced friction and earned trust — powering better decisions across 21 hospitals.
Leading Design Transformation at Scale
I pioneered a new approach to clinical tool adoption — replacing top-down mandates with organic physician advocacy by embedding co-design into the heart of the product strategy.
Strategic Co-Design Approach
I built deep partnerships with physicians and care managers across 21 medical centers, involving them in early product decisions that shaped not just features but strategic direction. By transforming clinical stakeholders into design collaborators, we sparked peer-led adoption that scaled naturally across the system.
Cross-Functional Leadership
I led interdisciplinary teams of engineers, data scientists, and clinicians to translate AI capabilities into intuitive experiences. By navigating clinical rigor, technical constraints, and real-world workflow needs, I made strategic tradeoffs that kept simplicity — and physician trust — at the center of the product.
Discovery through Iteration
Weekly prototyping with frontline clinicians revealed critical care gaps — especially around patients who appeared stable but spiked during allergy seasons. These insights led us to prioritize predictive analytics, shifting the product from reactive support to proactive intervention.
The co-design methodology became the foundation for future product development — setting a new organizational standard for how we build, validate, and scale clinical products.
Designing Our Way from #292 to #3
A consumer-first design strategy helped drive our national asthma care ranking from #292 to #3 —demonstrating that design leadership can directly impact human health at scale.
Product-Market Fit at Enterprise Scale
We achieved higher adoption rates than comparable launches—without mandates or marketing—by creating something rare: enterprise products that physicians actively recommended. Instead of adding features, we focused on intuitive interaction patterns and workflow-aligned design, proving that clarity and trust drive product success.
Design-Driven Health Outcomes
By shifting from reactive to predictive care, we enabled earlier intervention for high-risk patients —reducing ED visits, improving outcomes, and lowering costs. Through predictive analytics and frictionless design, we helped clinicians anticipate health risks rather than react to them.
Shaping Organizational Strategy
This success reshaped how the organization invested in technology, redirecting multimillion-dollar roadmaps toward user-centered strategies. The design frameworks we created became institutional playbooks — establishing UX leadership as a driver of innovation, not just interface polish.
*Note: Due to the sensitive nature of this work, I'm limited in the amount I can share re:quantitative stats. Reach out for a full case study.
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