Center for AI-enabled Learning Health Science
Combining AI and clinical data to improve health outcomes
The OHSU Center for AI-enabled Learning Health Science is one of the first in the country to build an AI-driven learning health system.
Our goal is to improve health care for everyone. We are building a system that is practical, ethical, patient-focused and at the forefront of health informatics and learning health science.
Partner with us
We invite researchers, health care providers, and industry partners at OHSU and beyond to join us. Your expertise in patient care, learning health systems, AI or health informatics can help everyone deliver smarter, safer and more equitable care.
Why work with us?
By working with us, you’ll be part of developing a health learning system that improves care for patients in our community and everywhere. You will:
- Help build a secure and scalable AI system
- Work with real clinical and operational data across a top-tier health system
- Partner with experts in AI and health informatics
- Test tools rapidly in real-world health care settings
- Join a team focused on equity, transparency, outcomes and leadership the learning health systems space
How we use AI to improve care
Every time a patient visits OHSU, we collect data, safely and privately, about their condition, treatment and outcomes. Our learning health system gathers this data and applies AI tools to find patterns. These patterns help us see what works best and for which patients.
Doctors and researchers can use these insights to:
- Make better-informed decisions
- Develop new tools and treatments
- Create a feedback loop for continuous improvement
This is health informatics in action, amplified by AI. Health informatics has long supported data use in medicine. But advances in artificial intelligence make it faster and much more powerful.
How our work benefits patients
Our core goal is to improve health care and outcomes for people in our community. By using AI together with OHSU’s clinical data, we can:
- Make data easier to use so doctors can focus on care
- Keep patient information safe and private
- Improve efficiency and timeliness of patient care, and increase access to care
- Treat all patients equitably, no matter their background
- Use the same terms across different systems to reduce confusion and duplication
How we harness the power of AI
We use our health learning system to:
- Develop new treatments informed by large amounts of clinical outcomes data
- Rapidly build and test clinical decision tools and other ideas
- Create and launch practical medical studies
- Carefully and rigorously evaluate what works and what doesn't
- Find solutions that benefit all patients, not just a few
- Build tools that support research
Our work is translational research. This means we bridge the gap between research and clinical practice. We safely and securely bring AI into the real-world clinical and operational decisions that matter most.
Resources to learn more
- AI in healthcare: transforming the practice of medicine, National Library of Medicine
- Six ways AI is transforming healthcare, World Economic Forum
- Harnessing the Promise of Artificial Intelligence Responsibly, Dorr et al, JAMA
Meet the team
The OHSU Center for AI-enabled Learning Health Science is led by experts in medicine, learning health systems and informatics.
-
-
Appointments and titles
- Professor of Medical Informatics and Clinical Epidemiology, School of Medicine
- Professor of Medicine, Division of General Internal Medicine and Geriatrics, School of Medicine
-
Areas of interest
- Predictive analytics
- Artificial intelligence
- Learning health systems
- Informatics
-
-
-
Appointments and titles
- Professor of Medicine, Division of Pulmonary and Critical Care Medicine, School of Medicine
-
Areas of interest
- Patient safety and quality
- Diagnostic excellency
- Learning health systems
- Informatics
-
Partner with us
Email cailhs@ohsu.edu to learn more or join us.
We’re looking for partners in the field of learning health systems at OHSU and beyond:
- Researchers
- Health care providers
- Academics
- Government agencies
- Private companies