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This session will describe the objectives of a collaborative quality initiative and how they partner with physician organizations and practice units to collect data that is used to identify process that lead to improved delivery of care and outcomes, and highlight developed tools and resources available for front-line care team members supporting specific patient populations.
2:30 p.m. 3:30 p.m.
Larrea Young, Mdes
Design Project Manager
Michigan Collaborative for Type 2 Diabetes (MCT2D)
Jacqueline Rau, MHSA
Program Manager
Michigan Collaborative for Type 2 Diabetes (MCT2D)
Carol Gray, MPH
Manager
Michigan Social Health Interventions to Eliminate Disparities (MSHIELD)
Karla Stoermer Grossman. MHSA, BSN,RN, AE-C
Clinical Site Coordinator
Inspiring Health Advances in Lung CarE (INHALE) CQI
This panel discussion will describe a multi-physician organization experience when participating in the BCBSM serious illness and chronic kidney disease predictive modeling pilots. Each panel member will describe developed processes and highlight best prac8tices that were created to improve the delivery of care to these specific populations.
1:20 p.m. 2:20 p.m.
Dr. Michelle Klanke, DO
Regional Administrative Medical Director of Quality
Trinity Health Alliance of Michigan and Trinity Health Medical Group West Michigan
Erin Lefevre, BSN, RN
Clinical Manager, Ambulatory Care Management
Trinity Health Alliance
Gina Schutter, BS
Manager Quality & Care Management
Holland PHO
Heidi Steinhebel, BSN, RN
Senior Associate Director of Care Management
Trinity Health IHA
Introduction/Welcome
12:00 p.m. 12:15 p.m.
Julie Wietzke, MHSA, MLS
Administrative Director
MICMT
Predictive Analytics: A Clinical Tool for Care Team Transformation
12:20 p.m. 1:10 p.m.
Can the use of predictive analytics help transform healthcare? We believe the answer is YES at Blue Cross Blue Shield of Michigan. Patient interventions are often reactive based upon a visit or encounter within the clinical setting. This session will discuss the importance of having a clinical tool that offers a proactive approach to identify at-risk patients for engagement and interventions to improve quality outcomes. The BCBSM-Analytics Center of Excellence (ACOE) used techniques centered around data science, statistics, evidence-based medicine, and machine learning to develop clinical predictive models that identify patients who may be most at risk of certain chronic conditions. This session will discuss how the care team can utilize this type of clinical tool to improve operational efficiency and quality outcomes for patients.
Heather Stamat, DO, MBA
Medical Director, Clinical Partnerships
Blue Cross Blue Shield of Michigan
Heather Stamat, DO
Blue Cross Blue Shield of Michigan
Navi Brar, MD
St. Clair Nephrology
Andrea Oliverio, MD
University of Michigan
Emily Ashjian, PharmD
University of Michigan
Additional CKD training and resources are available. Please view the Chronic Kidney Disease Care training modules for more information.
View CKD Care Training Modules
Paul Pfeiffer, MD, MS
Susan Crumpacker Brown Research Professor of Depression Department of Psychiatry Michigan Medicine
Dayna LePlatte, MD
Clinical Assistant Professor Department of Psychiatry Michigan Medicine
Heather Stamat, DO
Blue Cross Blue Shield of Michigan
Vidooshi Maru, MD
Trinity Health
Christine Hilmer, RN
Trinity Health
Additional CKD training and resources are available. Please view the Chronic Kidney Disease Care training modules for more information.
View CKD Care Training Modules
Sarah Fraley, LMSW
Mind Body Health Consultants
Heather Stamat, DO
Blue Cross Blue Shield of Michigan
Michelle Klanke, DO
Trinity Health Alliance
Erin Lefevre, RN
Trinity Health Alliance
Michael Heung, MD
University of Michigan
Julie Wright, MD
University of Michigan
Snigdha Reddy, MD
Henry Ford Hospital