bayesian health
Building an AI-powered healthcare tool for sepsis
A B2B web application that transforms healthcare data into clinical insights, empowering physicians & care teams with real-time data to save lives.
bayesian health
A B2B web application that transforms healthcare data into clinical insights, empowering physicians & care teams with real-time data to save lives.
⚠️ limited case study
As Product Manager and Designer at Bayesian Health, I spent over two years building out its key features and enabling its product launch at a major health system. Beyond interviewing clinical providers and refining the product down to the pixel, I played a pivotal role in shaping Bayesian Health's product development strategy and implementation processes, aligning our team members in adopting a user-centered, data-driven development approach.
Bayesian Health's mission is to transform healthcare data into clinical insights, empowering physicians & care teams with real-time data to save lives. Their EHR-integrated platform aims to use AI to detect early signs of sepsis and surface important clinical insights to providers in a timely manner.
Sepsis is the third leading cause of death in US hospitals and affects 1.7 million people nationwide each year.
Due to the vast quantity and disaggregation of healthcare data, it can be difficult for providers to detect the early signs of sepsis in patients so that they can administer treatment right away.
We developed an AI-powered healthcare solution that alerts providers about deteriorating patients and surfaces key insights within their existing workflows.
company
Bayesian Health
role
Product Designer & Manager
team
VP of Engineering
Software Engineers
Data Scientists
Clinical Subject Matter Experts
Customer Success Managers
timeframe
2+ years
I originally joined Bayesian Health as a frontend engineer and product designer but soon transitioned into product management due to my cross-domain knowledge and expertise. I led efforts across design, research, and cross-functional collaboration, including:
📍 Driving strategic product roadmaps: Translated stakeholder input and product metrics into clear priorities, driving fast-paced iterations that balanced business goals with user needs across hospital systems.
🩺 Enabled product integration with EHRs and health systems: Developed launch timelines that accounted for system-specific requirements and constraints and enabled product launches with new customers.
🔎 Conducting user-centered research: Interviewed clinical providers to map real-world workflows, validate product assumptions, and shape new product opportunities grounded in clinical insights.
🎨 Establishing a scalable design system: Created Bayesian Health’s first scalable design system and implementation workflows to ensure visual consistency, reusability, and cross-functional efficiency.
👩🏻🏫 Running product demos to prospective partners: Demonstrated the capabilities of our products to hospital system prospects and incorporated their feedback into the roadmap.
💬 Pitching to prospective partners: Delivered tailored product demos to hospital system prospects, capturing feedback that directly shaped product direction and strengthened partner relationships.
♻️ Aligning cross-functional teams: Spearheaded collaboration across engineering, sales, customer success, and data science to maintain strategic alignment and accelerate execution.
lead with data — and empathy
Working with diverse stakeholders taught me the importance of clearly communicating product value. I relied on data to support my proposals and decisions—but above all, I prioritized making users feel heard and understood.
identify knowns and unknowns in advance
Healthcare integrations are inherently complex, so we always planned for the unexpected. Defining knowns and anticipating unknowns early in the process helped us save time and reduce risk.
the importance of observational studies
While phone calls with clinicians were helpful, nothing matched the insight gained from in-person hospital visits. Observing workflows firsthand gave me a deeper understanding of provider pain points and needs within a real clinical setting.