Innovative Learning Health System projects awarded grant funding
The Medical School’s Department of Learning Health Sciences and the University of Michigan Office of Research are pleased to announce grant awards for projects to advance the development of Learning Health Systems (LHS).
Scaling a Regional Learning Health System: The Development of a Collaborative Quality Improvement Consolidation Center – (CQIC2) at the University of Michigan
Michigan Surgical Quality Collaborative:
- Darrell A. Campbell, Jr., MD
- Michael J. Englesbe, MD
- Greta Krapohl, PhD, RN
- Elizabeth Seese, MS, CCRC
In collaboration with Gretchen Spreitzer, PhD, Ross School of Business and Center for Positive Organizations
Building on the Collaborative Quality Improvement Learning Health System model established in Michigan, this team proposed scaling the regional system to a broader national platform. Under the interdisciplinary leadership of the Institute for Healthcare Policy and Innovation, the Collaborative Quality Improvement Consolidation Center would have the opportunity to emerge as a leader in accelerating a clinically-led, practice-based, catalyst for scaling regional quality improvements on a national scale.
Integration of a Mobile Application for Heart Failure into the Learning Health System
- Michael Dorsch, PharmD, MS, College of Pharmacy
- Clayton Scott, Electrical Engineering and Computer Science
- Scott L. Hummel, MD, MS, Medicine/Cardiovascular Medicine, Heart Failure Program, Ann Arbor Veterans Affairs Health System
- Todd Koelling, MD, Internal Medicine, Heart Failure and Heart Transplantation Management Program
- Larry An, MD, Internal Medicine, Center for Health Communications Research (CHCR) and Cancer Survivorship Program
- Allen Flynn, PharmD, Knowledge Grid program and Department of Learning Health Sciences
This team is at the forefront of designing novel technologies that effortlessly assist in monitoring heart failure status, increase adherence to evidence based medications, promote health behavior modifications, and provide health information back to patients within a learning health system framework. This project will:
- Integrate motivational messages for heart failure patients that will evoke a behavior health change into a mobile application based on the Michigan Tailoring System,
- Integrate remote monitoring sensors data into the mobile application to enhance the use of the data within an algorithm, and
- Create an algorithm, using machine learning, that predicts clinical worsening of heart failure using remote monitoring.
Complete details are available online at: http://lhs.medicine.umich.edu/lks/learning-health-systems/small-grants
