Adrian F. Hernandez, MD, MHS
Vice Dean for Clinical Research
Duke University School of Medicine
Going from a Learning Health System to Learning Health Units: Opportunities and Challenges
Pragmatic clinical trial; Learning health system; Health data; Electronic health records; Health risk scores; Health system research
- In a learning health system, it is important to seek feedback and insight from patients, clinicians, and data scientists.
- Key attributes for an effective learning health system are culture, investment, data, research, and results.
- The goal of transitioning to learning health units from a comprehensive learning health system are not yet being reached, but there is promise for the future.
It’s important to determine what standard of evidence is going to be good enough to drive clinical decision making, and we need to be prepared to understand when lower quality data is good enough.
Finding opportunities for curating patient health records, while also establishing a concordance about what goes into a record and what does not, should be a focus of learning health systems.
In many cases, health risk scores are not adequately shared with patients. Conversations surrounding the ethics of communicating health risk scores should take place. However, there is often a level of uncertainty, so it’s important to communicate in a way that establishes full transparency and understanding.
To make a big difference, we need to rapidly move from learning health systems to learning health communities.
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