Collaborations and Initiatives

Collaborations and support to advance learning health system capabilities and initiatives are critical to advancing the goals of CLHSS. These allow for us to extend the impact of our work, for new research to generate and be integrated with external evidence, and for that knowledge to be put into practice. As a result, we are contributing to and advancing the learning health system cycle and advancing initiatives resulting in higher quality, safer, and more efficient care for patients. Many of these projects involve collaboration with other institutions across the country.

We are continually developing collaborative partnerships and initiatives as follows.

Practice-Based Research Network

We partner with UMN’s Department of Family Medicine and Community Health’s Practice-Based Research Network (PBRN) to facilitate community-based research and innovation among Minnesota primary care providers. PBRN’s work fosters  relationships between researchers and providers, builds research capacity in physicians and staff, and encourages participation in projects.

To learn more about the PBRN and request services, visit the PBRN website.



ENTRUST AI (ENsuring the TRUSTworthiness of AI/ML Models to Optimize Continual Patient Safety) is aimed at developing computational approaches to track the reliability of the clinical AI predictions and predict patient-specific harms and benefits from interventions.

All of Us Risk Modeling

We are working with data from the All of Us program to develop new methods for risk modeling that are tailored to minority groups.

Evaluation of the SCALED Approach

Through the SCALED (SCaling AcceptabLE cDs) approach, we are adapting a Clinical Decision Support system to also deliver guidelines to prevent VTE in patients with traumatic brain injury.

Federated and Imbalanced Learning

We are developing federated learning for NLP algorithms to classify clinical text and new learning methods for algorithms to work with imbalanced data sets.

I CAN DO Surgical ACP

We received a subaward for I CAN DO Surgical ACP (Improving Completion, Accuracy, and Dissemination Of Surgical Advanced Care Planning) to help test different delivery strategies for an advance care planning tool designed to help older patients and patients with serious illness receive care that matches their goals and values.


Through REST-PSLL (Re-engineering Surgical Recovery and Transitions Using Technology Patient Safety Learning Laboratory), we are designing technology-based solutions to improve the outcomes of emergency laparotomy patients during their home-based recovery.

Interventions for Alzheimer's

We are developing informatics approaches that allow us to use multi-modal resources to assess the effects of drugs and non-pharmacological interventions on Alzheimer's disease and related dementia.


For M-PALS (Managing Pain After Laparoscopic Surgery), the MN-EPC is developing a set of clinical practice guidelines for pain management in abdominal laparoscopic patients that will be implemented and evaluated.

Dietary Supplements

We are creating a dietary supplement knowledge base and developing a translational informatics framework to facilitate research on dietary supplement safety and efficacy.

Dr. Melton-Meaux standing with her arms folded in a data server room.

“This center is about our readiness — so much is going in this direction. This is a platform for faculty to really improve things and transform healthcare.”

— Genevieve Melton-Meaux, MD, PhD, FACMI, FACS