Registration, breakfast, exhibits

Welcome/overview

Addressing Social Risk Factors to Improve Health Outcomes and Health Equity

It is widely recognized that social risk factors such as food security and housing affect health outcomes, and recent years have seen an increased focus on the health care system’s role in identifying and addressing them. This session will feature a presentation from leaders at Allina Health about their initiatives to identify and address social risk factors. Allina Health was one of 28 health systems nationally that participated in the Center for Medicare and Medicaid Innovation’s (CMMI’s) Accountable Health Communities initiative which provided support for identifying and address social needs. The presentation will be followed by a panel discussion addressing payers’ role in these initiatives and the challenge of financial sustainability.

Break/Exhibits/Networking

Breakout Sessions

Choose to attend any of the following sessions:

Common Health Information Reporting Partnership

Existing mechanisms for sharing health care data between health care providers and payers to improve cost, quality, and equity are fragmented and lack alignment. Together with stakeholders, MNCM has been defining an initiative known as the Common Health Information Reporting Partnership, or CHIRP. CHIRP provides a set of standardized guidelines for the flow of patient-level data in both directions – from provider to payer and payer to provider. The goal of CHIRP is to leverage standardized data flows to reduce reporting burden, save effort in “chart chases” and identifying gaps in care, and improve overall population health and health equity.  This session will feature a panel of providers and payers that have shaped the effort to launch CHIRP.

Making Information on Cost and Quality More Actionable for Consumers

It is challenging for consumers to find and use information on health care quality and cost to inform their decisions. Even when this information is publicly available, employers have a role in helping employees access and interpret it to make health care choices. This session will share information from a randomized experiment involving the State of Minnesota as an employer to better understand how and whether employees use and act on this type of information, and how the learnings from this project fit into the larger context of how employers can use information on health care cost and quality to inform and incentivize consumer choices.

Deep Dive on Social Risk Factors Data Collection

This session provides an opportunity to dig deeper into the challenge of collecting data from patients about social risk factors. It will begin with an overview of a roadmap for social risk factors data collection developed by MNCM stakeholders in 2022, and include perspectives from providers and payers on the key opportunities and challenges associated with efforts to collect data on social risk factors that is accurate, meaningful, and actionable.

Break/Exhibits/Networking

Minnesota Care Coordination Effectiveness Study: Collaborating to Identify and Spread What Works

The Minnesota Care Coordination Effectiveness Study (MNCARES) is a research study comparing the effectiveness of different models of care coordination. The study is a partnership between HealthPartners Institute, the Minnesota Department of Health, and MN Community Measurement. In this session, panelists will discuss the research partnership and the study’s goals, findings from the study, and strategies for disseminating the findings to inform future care coordination efforts.   

Lunch

Breakout Sessions

Choose to attend any of the following sessions:

Minnesota Diabetes and Chronic Kidney Disease Care Improvement Initiative

Among adults with diabetes, there are significant gaps in identification, diagnosis, and management of chronic kidney disease (CKD). MNCM has recently launched a three-year project aimed at reducing these gaps through data-driven tools that will be freely available to all medical groups submitting data for quality measurement through MNCM’s PIPE data system. This session will provide an overview of the project, collaborative efforts to advise on key metrics that will be essential to success, and how providers can participate involved in the improvement initiative.

Modernizing Diabetes Quality Measurement: Incorporating Patient-Generated Data from Continuous Glucose Monitoring

With the advent of sophisticated remote monitoring such as continuous glucose monitoring (CGM) for diabetes control, there are new possibilities for meaningful measurement of patient outcomes. This session will provide information on the role of CGM data in diabetes management and a pilot project to assess the feasibility of incorporating data from CGM into current quality measurement for diabetes.

Transitioning to MNCM’s PIPE Data Infrastructure: Where are We Now, and Where are We Going?

Many medical groups have completed the transition to MNCM’s modernized PIPE data system, while others are still in process. This session will highlight key aspects of the onboarding process, latest PIPE Data Standard, data security, and opportunities for how medical groups can participate in other projects via PIPE. The session will include an opportunity for questions and peer discussion.

Break/Exhibits/Networking

Achieving Optimal Diabetes Outcomes: What Distinguishes High Performing Medical Groups?

This session will highlight the results of a six-year University of Minnesota study that analyzed how the structure of primary care practices in Minnesota affects quality of care and health care resource use for patients with diabetes. The Understanding Infrastructure Transformation Effects on Diabetes (UNITED) study combined data from MNCM quality measurement, health plan claims data, and data from surveys of medical practices. The session will include an overview of the study and its findings, as well as discussion from the medical group perspective.

Adjourn