LEARNING HEALTH SYSTEMS APPROACH TO PATIENT CARE
Learning health systems embed researchers in a healthcare system, creating a nimble feedback loop among researchers, clinicians, and patients so they can more quickly improve the quality of care, together. Patient care, education and research are intrinsically linked in this iterative approach to medicine.
LHS USE CASE: COVID-19
Drs. Genevieve Melton-Meaux and Chris Tignanelli found success in building learning health system (LHS) capabilities over the past year in the midst of the pandemic. The development of LHS has spurred new COVID-19 clinical trials using repurposed drugs and led to the first evidence-based COVID-19 clinical care guidelines for emergency physicians on when to admit or discharge patients. Faculty even collaborated with Epic and other centers on a COVID-19 diagnostic artificial intelligence algorithm using chest X-rays and integrated this into the electronic health record at M Health Fairview.
LHS USE CASE:REDUCING OPIOID PRESCRIPTIONS
In healthcare systems around Minnesota, there were major variations in how opioids were prescribed for surgical procedures, even for patients with similar opioid use history and undergoing the same procedures. To turn this around, specialty-specific multidisciplinary teams developed prescribing guidelines for each surgical procedure. In orthopedic surgery, this resulted in a decrease of opioids prescribed by 50%. It's estimated that this work could reduce the number of excess opioids in Minnesota communities by up to 1 million pills per year.