Who We Are
Clinical, analytical, and operational expertise focused on improving patient outcomes through practical, real-world solutions.
Built at the Intersection of Clinical Care and Data
SmithAI Health was founded to address a common gap in healthcare.
Health systems have access to large amounts of clinical data, but turning that data into meaningful, timely action remains a challenge.
Our focus is not just on prediction, but on how those predictions are used within real clinical environments to improve outcomes.
Edward A. Smith, MD, MPH
Founder and Principal
Dr. Smith is Harvard-trained in artificial intelligence and brings a unique combination of expertise across medicine, public health, and computational disciplines.
His work has focused on predictive modeling, cost-effectiveness analysis, and the practical application of data within healthcare systems.
He has worked across academic medicine, health systems, and translational research, with a consistent focus on improving how data is used to support patient care.
Daniel D. Von Hoff, MD, FACP
Clinical Advisor
Dr. Von Hoff is a nationally recognized oncologist and leader in cancer drug development.
He has contributed to the development of multiple FDA-approved therapies and has served as President of the American Association for Cancer Research.
His involvement provides clinical perspective and ensures alignment with real-world oncology care.
Why SmithAI Health Exists
Most healthcare AI efforts focus on building models.
Few focus on what happens after the model is built.
SmithAI Health was created to bridge that gap.
Our work centers on translating predictive insight into structured clinical workflows that support earlier intervention, reduce avoidable hospitalizations, and improve patient outcomes.
Practical, Not Theoretical
Our approach is grounded in real-world clinical implementation. This includes experience with:
- Clinical workflow design
- Data integration and reporting
- Physician and nurse adoption
- System-wide deployment within healthcare environments
The goal is not to introduce new complexity, but to enhance existing systems in a way that is measurable and sustainable.
Let’s Start the Conversation
We work with health systems to explore how P2A can be applied within existing clinical and operational workflows.