2026 Annual Conference
Poster Topic Area: Population Health and Patient Experience
Attend our Poster Sessions on Thursday, April 16, 3:00 pm – 5:00 pm and Friday, April 17, 11:30 am – 1:30 pm for one-on-one time with Poster presenters to learn more, ask questions, and chat over implications for your own organization.
Eligible for Continuing Education Credit
Charles S. Day, MD, MBA, System Medical Director, Value Specialty Care, Henry Ford Health System and Vice Chair of Academics and Value Integration and Professor of Orthopedic Surgery, Henry Ford Health, and Kyrillos Ayoub, BA, MD Candidate, Wayne State University
This poster presents a three-year retrospective analysis from an integrated academic health system evaluating the clinical outcomes and financial performance of liver transplants performed with and without the TransMedics organ preservation system. Findings highlight the trade-offs between high upfront surgical costs and downstream gains in capacity, outcomes, and post-acute efficiency. Participants will explore how to assess the value of high-cost technologies through a system-level lens that integrates access, quality, and sustainability, offering a practical framework for capital investment decisions in complex surgical care.
Upon completion of this activity, learners should be able to:
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Evaluate how advanced surgical technologies impact both per-case margins and system-level outcomes, including access and efficiency.
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Apply cost-effectiveness and value-based frameworks to guide investment decisions in high-cost specialty innovations.
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Develop strategies to balance financial sustainability with improved clinical outcomes in transplant and other high-acuity service lines.
Intended Audience: Chief Medical Officers, Chief Financial Officers, Chief Clinical Officers, medical group and service line leaders, high-value care and strategy officers, clinical operations and finance directors within integrated health systems
Charles S. Day, MD, MBA, System Medical Director, Value Specialty Care, Henry Ford Health System and Vice Chair of Academics and Value Integration and Professor of Orthopedic Surgery, Henry Ford Health, and Sanjana Kumar, MD Candidate, Wayne State University
As high-value care expands beyond primary care, orthopedic practices face increasing pressure to demonstrate measurable value in nonsurgical interventions. This poster presents a cost-effectiveness analysis comparing corticosteroid (CS) and high molecular weight hyaluronic acid (HMW-HA) injections for knee osteoarthritis using time-driven activity-based costing (TDABC) and patient-reported outcomes (PROMIS). Results show that CS injections provide greater value, delivering similar or better outcomes at a fraction of the cost.
Upon completion of this activity, learners should be able to:
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Interpret cost-effectiveness data to guide evidence-based treatment decisions in orthopedic and musculoskeletal care
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Apply value-based care methodologies, including PROMs and TDABC, to evaluate nonsurgical interventions
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Develop strategies to align clinical decisions with value-based payment models and system-level cost sustainability
Intended Audience: Chief Medical Officers, Chief Financial Officers, Chief Clinical Officers, and service line and operations executives in orthopedics or musculoskeletal health, high-value care and quality officers, academic and community medical group leaders
Denise White-Perkins, PhD, Chair, Department of Family Medicine, Director, Healthcare Equity Initiatives; Alexandra Hunter, MPH, Virtual Care Consultant; and Thor Person, MA, MSW, MPH, Research Project Manager; Henry Ford Health
Telehealth holds promise for increasing access to care, but older adults and populations with low digital literacy remain at risk of exclusion. This session highlights a community-driven approach to identifying barriers and developing scalable solutions to improve telehealth equity, drawing on insights from a multi-stakeholder summit, ongoing interventions include digital literacy coaching, telehealth equity dashboards, and inclusive platform design.
Upon completion of this activity, learners should be able to:
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Identify key barriers to telehealth access for older adults and digitally underserved populations
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Apply community-informed strategies to design inclusive digital health programs
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Develop actionable frameworks to integrate telehealth equity initiatives into system-level care delivery
Intended Audience: Chief Medical Officers, Chief Nursing Officers, Chief Clinical Officers, high-value care, digital health, and population health leaders, operations executives overseeing telehealth implementation, clinical strategy and innovation teams within integrated health systems
Simone Sursely, MS, Manager, and Jay Masters, Supervisor, Mayo Clinic Rochester
As patient volumes increase, healthcare systems face the challenge of providing personalized, holistic support without overextending staff. This session highlights how one academic medical center leveraged a phased approach—repurposing staff, creating a SharePoint knowledge management system, and implementing a chatbot—to expand patient access to community resources. Attendees will learn strategies to improve patient experience, increase staff efficiency, and provide accurate, timely information while maintaining current staffing levels.
Upon completion of this activity, learners should be able to:
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Identify strategies to increase patient access to community resources without adding staff
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Implement technology solutions, such as knowledge management systems and chatbots, to support front-line staff and patients
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Measure and optimize patient engagement and satisfaction using phased technology and communication strategies
Intended Audience: Chief Experience Officers, Chief Patient Experience Officers, Chief Operating Officers, Chief Nursing Officers, directors of patient services, social work, and care navigation, clinical and administrative leaders focused on patient engagement, experience, and digital innovation
Elizabeth Ruvalcaba, MSPH, Senior Research Project Lead; Jennifer Obenrader, PharmD, Clinical Senior Research Project Lead; Elizabeth Ciemins, PhD, MPH, MA, Senior Vice President Research & Analytics; and Meghana Tallam, MPH, Population Health Research Analyst, AMGA
Lung cancer remains the leading cause of cancer death, yet only a fraction of high-risk patients undergo recommended screening. This poster highlights multisite quality improvement initiatives designed to increase early detection through system-level interventions. Attendees will hear real-world strategies, lessons learned, and early outcomes from participating health systems, including EHR-based eligibility algorithms, team-based workflows, and outreach interventions. This peer-to-peer session provides actionable approaches to improve lung cancer screening, promote multidisciplinary collaboration, and advance population health outcomes.
Upon completion of this activity, learners should be able to:
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Identify system-level barriers to lung cancer screening and early detection in high-risk populations
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Describe practical quality improvement interventions, including EHR-based tools and multidisciplinary workflows, to increase screening rates
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Apply lessons from peer health systems to design scalable, adaptable strategies for improving early lung cancer diagnosis
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, clinical operations leaders and directors of oncology, primary care, and preventive care services, quality improvement and analytics teams focused on population health metrics and health system leaders interested in value-based care initiatives and early cancer detection
Brittany Chatterton, MD, MAS, Medical Director, Population Health System Learning, Evaluation, and Dissemination, Assistant Clinical Professor, Department of Internal Medicine, and Reshma Gupta, MD, MSHPM, Chief of Population Health and Accountable Care, Associate Clinical Professor, Department of Internal Medicine, UC Davis Health
Advance care planning (ACP) is a critical quality metric tied to high-value care programs such as CMS Primary Care First. This session presents a multipronged, systemwide framework designed to increase ACP engagement across ambulatory, hospital, emergency department, and transitions-of-care settings. Attendees will learn how an interdisciplinary approach—including patient registries, EHR prompts, dedicated social workers, and standardized documentation—led to a 43% improvement in ACP completion rates across 34,000 patients.
Upon completion of this activity, learners should be able to:
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Describe the multidisciplinary framework for ACP implementation across ambulatory, inpatient, and transitions-of-care settings
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Implement system-level tools such as patient registries, EHR prompts, and workflow pathways to increase ACP engagement
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Evaluate ACP program outcomes and leverage lessons learned to improve patient-centered care and value-based performance metrics
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, clinical operations leaders and directors of ambulatory, hospital, and social work services, high-value care and quality improvement officers, health system leaders interested in integrating patient-centered planning and metrics across care settings
Holly Marie Meyer, MS, Artificial Intelligence Manager – Radiology; Eric Ernest Williamson, MD, Chief Medical Information Officer; and Eric Burton Reeve, Administrator – Department of Radiology, Mayo Clinic Rochester
This poster presents a mature, scalable program for delivering AI into clinical radiology practice. Building on the Framework for AI Software Technology (FAST) and guided by the Enterprise Radiology AI Subcommittee (ERAIS), the model demonstrates how governance, strategic alignment, and operational workflows enable AI solutions to move from concept to clinical use. Attendees will learn practical strategies for implementing AI at scale, integrating new technologies like generative AI, ensuring regulatory compliance, and achieving measurable workflow efficiency and clinical impact.
Upon completion of this activity, learners should be able to:
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Describe a replicable framework for managing AI projects from ideation through clinical deployment
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Identify the key governance, structural, and regulatory elements necessary to sustain a radiology AI program
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Apply strategies to align AI initiatives with institutional priorities, engage stakeholders effectively, and maintain post-production support
Intended Audience: Chief Medical Officers, Chief Information Officers, Chief Financial Officers, Chief Clinical Officers, Chief Digital Officers, Chief Technology Officers, Chief Innovation Officers, Chief Strategy Officers, senior operational leaders in integrated health systems, academic medical centers, and large independent medical groups, leaders responsible for digital transformation, enterprise AI strategy, or radiology operations, clinical and operational stakeholders involved in scaling AI across healthcare systems
Rupen Amin, MD, Regional Chief Medical Officer, Harmonycares Medical Group
Effective population health requires more than data—it demands actionable workflows that engage interdisciplinary teams in proactive care. This session presents a practical, integrated model combining clinician mentor meetings, panel management, and high-risk huddles to identify, prioritize, and manage complex patients at high risk for utilization and adverse outcomes. Attendees will explore real-world examples, interactive exercises, and strategies for embedding these approaches into existing workflows to improve patient outcomes, reduce costs, and enhance provider satisfaction.
Upon completion of this activity, learners should be able to:
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Describe an integrated population health model that combines mentor meetings, panel management, and high-risk huddles to drive actionable care planning
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Apply strategies to use data and dashboards effectively to identify high-risk patients and monitor care interventions
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Implement interdisciplinary accountability mechanisms to ensure follow-through and measurable improvements in outcomes, utilization, and cost of care
Intended Audience: Chief Medical Officers, Chief Nursing Officers, Chief Financial Officers, Chief Clinical Officers, Chief Population Health Officers, Chief Quality Officers, population health directors/managers, care management leads, medical group leaders, advanced practice clinician leaders, informatics and data analytics leads
Aoife Egan, MB, BCh, PhD, Associate Professor of Medicine and Consultant in the Division of Endocrinology; Brent Helgren, MA, Operations Manager, Endocrinology; and Ryan Meloche, MBA, Mayo Clinic Rochester
This poster highlights the use of technology to automate collection of continuous glucose monitoring (CGM) and insulin pump data for patients with diabetes. By streamlining manual workflows, improving data availability for clinical decision making, and optimizing billing practices, the project demonstrates how technology can enhance quality metrics, reduce clinician workload, and generate additional revenue.
Upon completion of this activity, learners should be able to:
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Describe how technology can streamline CGM and insulin pump data collection to reduce manual effort and improve workflow efficiency
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Analyze how automated data collection supports clinical decision making, enhances quality metrics, and improves patient outcomes
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Identify strategies to optimize billing and revenue opportunities through better documentation and utilization of diabetes technology data
Intended Audience: Chief Medical Officers, Chief Nursing Officers, Chief Financial Officers, Chief Clinical Officers, Chief Population Health Officers, endocrinology/diabetes program directors, clinic managers, quality improvement leads, informatics/data analytics leads
Johanna Warren, MD, Senior Associate Chief Medical Officer, Ambulatory, Oregon Health & Science University
This poster showcases a scalable, equity-centered program designed to operationalize system-level clinical guidelines across a multi-hospital academic health system. Presenters will share the framework, governance model, and implementation outcomes from two case studies—diabetes management and cervical cancer screening—demonstrating measurable improvements in alignment, care variation, and equity performance. Through interactive discussion and breakout exercises, participants will apply the framework to their own organizations, developing strategies for governance, informatics integration, and equity monitoring to close the gap between evidence and practice.
Upon completion of this activity, learners should be able to:
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Describe a practical framework for translating evidence-based guidelines into standardized, systemwide clinical practice
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Identify key enablers of success—including governance, informatics integration, and equity-focused performance tracking—for large-scale guideline implementation
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Apply the framework to their organization to design an actionable strategy that embeds equity and reduces care variation across sites and specialties
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Clinical Officers, Chief Population Health Officers, Chief Health Equity Officers, Vice Presidents/Directors of Quality or Performance Improvement, Informatics and Data Leaders, Population Health and Care Delivery Executives, Academic and Community Integration Leaders
Steven Fried, MD, Medical Director, Primary Care Quality and Resource Stewardship, and Laurie Paoletti-Kortas, RN, Directory of Quality and Safety, Primary Care, Henry Ford Health
Diabetic retinopathy remains a leading cause of preventable blindness, yet adherence to annual retinal screenings remains low. This presentation highlights a successful initiative integrating Tele-Retinal cameras into primary care clinics to improve diabetic eye exam performance and early disease detection. By embedding screening into routine visits, the program enhances care access, strengthens primary–specialty collaboration, and drives measurable improvements in quality metrics.
Upon completion of this activity, learners should be able to:
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Describe how integrating tele-retinal screening technology into primary care workflows can improve diabetic eye exam adherence and early disease detection
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Identify key operational and clinical steps for implementing an interdisciplinary diabetic eye screening protocol
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Evaluate how technology-enabled screening can improve quality performance metrics, patient experience, and long-term cost efficiency
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, Chief Clinical Officers, Primary Care and Specialty Service Line Leaders, Directors of Quality or Population Health, and Digital Transformation or Innovation Executives
Benjamin Blackburn, MBA, Senior Operations Project Manager, and Emily Carlson, MHA, LSSGB, Senior Quality Manager, Division of Family and Community Medicine, University of Utah Hospitals and Clinics
What began as a focused effort to improve colorectal cancer screening evolved into a systemwide transformation grounded in collaboration, data transparency, and operational redesign. This poster shares how one large academic health system dismantled silos and aligned primary care, gastroenterology, labs, and system services to drive equitable, patient-centered screening. Through an interactive simulation, participants will step into stakeholder roles to identify barriers, navigate competing incentives, and codesign solutions that strengthen population health outcomes and readiness for high-value care.
Upon completion of this session, participants will be able to:
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Identify systemic, financial, and operational barriers that limit colorectal cancer screening performance and equity
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Describe strategies for aligning cross-departmental teams and workflows to improve population-level preventive care outcomes
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Apply lessons from a simulation exercise to design sustainable, patient-centered screening strategies within their own organizations
Intended Audience: Chief Population Health Officers, Chief Medical Officers, Chief Quality Officers, Chief Operating Officers, Clinical and Operational Leaders: Primary Care, Gastroenterology, Laboratory Services, Care Management, Quality and Population Health Directors, and project management leaders supporting system integration initiatives
Louai Bilal, MD, MSc, Medical Director, Inpatient Med-Psych Unit, and Eric Cain, MD, MBA, Physician-in-Chief and Chief of Staff, The Permanente Medical Group
Health systems across the country struggle to care for patients with both acute psychiatric and complex medical needs. This session presents the development and measurable impact of a comanaged, LPS-designated Medical-Psychiatric Unit (MPU) that integrates behavioral health and medical care within a single inpatient setting. Participants will learn how this model bridges care gaps, reduces ED boarding, and improves outcomes for high-risk populations through interdisciplinary collaboration, clear operational structures, and financial and regulatory alignment.
Upon completion of this session, learners should be able to:
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Describe key design elements, staffing models, and regulatory considerations for developing an integrated Medical-Psychiatric Unit (MPU)
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Identify operational, legal, and cultural barriers to comanaging behavioral health and medical complexity—and strategies to overcome them
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Evaluate performance metrics that demonstrate clinical, operational, and financial impact, including reductions in length of stay, ED utilization, and disparities in access
Intended Audience: Chief Medical Officers, Chief Behavioral Health Officers, Chief Nursing Officers, Chief Operating Officers, Chief Population Health Officers, Operational & Clinical Leaders: Behavioral Health Directors, Hospital Medicine and Psychiatry Service Line Leaders, Nursing Directors, Quality and Safety Executives, and System Planners focused on integrated care models
Jennifer Obenrader, PharmD, Clinical Senior Research Project Lead; Elizabeth Ruvalcaba, MSPH, Senior Research Project Lead; Ann Von Holle, PhD, Senior Population Health Analyst; Elizabeth Ciemins, PhD, MPH, MA, Senior Vice President Research & Analytics, AMGA; Jennifer Rucci, MD, President of The Eventus Institute for Strategic Thought and Innovation, Eventus WholeHealth and Stephen Combs, MD, Vice-President and Chief Medical Officer, Ballad Health
Health systems across the country struggle to care for patients with both acute psychiatric and complex medical needs. This session presents the development and measurable impact of a comanaged, LPS-designated Medical-Psychiatric Unit (MPU) that integrates behavioral health and medical care within a single inpatient setting. Participants will learn how this model bridges care gaps, reduces emergency department (ED) boarding, and improves outcomes for high-risk populations through interdisciplinary collaboration, clear operational structures, and financial and regulatory alignment.
Upon completion of this session, learners should be able to:
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Describe key design elements, staffing models, and regulatory considerations for developing an integrated Medical-Psychiatric Unit (MPU)
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Identify operational, legal, and cultural barriers to comanaging behavioral health and medical complexity—and strategies to overcome them
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Evaluate performance metrics that demonstrate clinical, operational, and financial impact, including reductions in length of stay, ED utilization, and disparities in access
Intended Audience: Chief Medical Officers, Chief Behavioral Health Officers, Chief Nursing Officers, Chief Operating Officers, Chief Population Health Officers, Behavioral Health Directors, Hospital Medicine and Psychiatry Service Line Leaders, Nursing Directors, Quality and Safety Executives, and System Planners focused on integrated care models
Meghana Tallam, MPH, Population Health Research Analyst; Ann Von Holle, PhD, Senior Population Health Research Analyst; and Elizabeth Ciemins, PhD, MPH, MA, Senior Vice President Research & Analytics, AMGA
The obesity treatment landscape is rapidly evolving due to the widespread adoption of GLP-1 receptor agonists and growing awareness of evidence-based weight management treatments (WMTs). Using real-world data from more than two million patients, this session explores how treatment utilization, sequencing, and adherence have shifted over time—and the implications for long-term patient outcomes, access, and care delivery models. Attendees will gain insight into how these trends are reshaping primary care, endocrinology, and population health strategies, as well as the operational and financial challenges of integrating obesity care into chronic disease management frameworks.
Upon completion of this session, learners should be able to:
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Describe recent real-world trends in weight management treatment utilization, including pharmacologic, behavioral, and surgical interventions
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Evaluate the clinical and operational implications of GLP-1 receptor agonist adoption on care pathways, continuity, and cost management
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Identify system-level strategies to improve access, coordination, and sustainability of comprehensive obesity care
Intended Audience: Chief Medical Officers, Chief Pharmacy Officers, Chief Population Health Officers, Chief Strategy Officers, Chief Financial Officers, Service Line Directors in Endocrinology, Primary Care, or Bariatric Medicine; Quality and Performance Executives; Population Health and Care Management Leaders
Emily Schuh, MSW, LCSW, Care Management Social Services Program Manager, and Mandy Young, BS, RRT, Manager of Care Coordination, Community Paramedicine Project Coordinator, St. Elizabeth Physicians
This presentation highlights how community paramedicine can reduce emergency department utilization and address social drivers of health (SDOH) through strong partnerships between healthcare systems and local emergency medical services. St. Elizabeth Physicians’ collaboration with regional EMS agencies in Northern Kentucky demonstrates how interdisciplinary care teams can connect patients to appropriate community and ambulatory resources, reducing unnecessary EMS calls and improving health equity. By bringing integrated care directly into patients’ homes, the program promotes medication adherence, home safety, and social support—resulting in a 55% reduction in emergency department use and improved patient trust and engagement.
Upon completion of this activity, learners should be able to:
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Describe how collaboration between healthcare systems and local EMS teams can reduce avoidable emergency utilization through targeted community interventions
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Identify strategies for addressing social drivers of health that contribute to frequent EMS use, including social isolation, health literacy, and socioeconomic barriers
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Evaluate the impact of community paramedicine models on health equity, patient experience, and system efficiency
Intended Audience: Chief Medical Officers, Chief Population Health Officers, Chief Nursing Officers, Chief Strategy Officers, Directors of Care Management, EMS Leadership, Ambulatory Operations Executives, Quality Improvement and Health Equity Leaders
Ann Von Holle, PhD, Senior Research Population Health Research Analyst, and Elizabeth Ciemins, PhD, MPH, MA, Senior Vice President, Research & Analytics, AMGA
This presentation examines real-world primary adherence (PA) to medications prescribed for major depressive disorder (MDD) using a large national dataset of electronic health records and claims. Despite the proven benefits of antidepressant therapy, a significant proportion of patients never fill their initial prescriptions, resulting in poorer outcomes and higher costs. Analysis of more than 130 million de-identified patient records from the Optum Labs Data Warehouse revealed an overall PA rate of 78%, with adherence declining sharply among patients with multiple prescriptions or frequent medication switches. Findings underscore the need for targeted interventions to improve early adherence, support medication initiation, and prevent treatment discontinuation.
Upon completion of this activity, learners should be able to:
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Define PA and describe its significance in the treatment of MDD
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Summarize real-world adherence trends across antidepressant classes and treatment sequences
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Identify opportunities for healthcare systems and clinicians to improve adherence and patient engagement in early treatment phases
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Behavioral Health Officers, Operational & Clinical Roles: Directors of Behavioral Health, Population Health Analysts, Pharmacy and Care Management Leaders, and Quality Improvement Specialists
Stephen Shields, MPH, Senior Population Health Research Analyst; Emily Nick, MPH, Senior Manager, Rize to Immunize Campaign, AMGA; Nkem Akinsoto, MSc, Assistant Director, Population Health, UW Physicians
The Rise to Immunize® (RIZE) campaign is a national initiative mobilizing AMGA member medical groups to collectively administer 30 million adult vaccines by 2027. This session will highlight how RIZE participants are closing care gaps, benchmarking progress, and implementing sustainable workflows that improve immunization delivery across influenza, pneumococcal, Td/Tdap, zoster, RSV, COVID-19, and hepatitis B. Attendees will hear from a high-performing participating health system that achieved measurable gains in adult vaccination rates through evidence-based approaches in provider and staff education, IT optimization, patient engagement, and financial management. Presenters will also share campaign outcomes, lessons learned, and scalable best practices for improving preventive care and population health performance.
Upon completion of this activity, learners should be able to:
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Describe the national RIZE campaign framework and its evidence-based strategies to increase adult immunization rates
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Identify successful operational and clinical interventions that improve vaccination workflows, documentation, and patient outreach
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Apply practical lessons from a high-performing organization to close immunization care gaps and strengthen health systemwide prevention strategies
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, Chief Operating Officers, Medical Directors, Quality Improvement Leaders, Population Health Managers, Immunization Program Coordinators, and Data Analytics Teams
Kamillia Dela Paz, MSN, RN, MEDSURG-BC, Clinical Operations Supervisor – Lab Support Services, and Quyen Hurlburt, MSN, RN, CCTC, Director, Nursing and Clinical Operations, Cedars-Sinai Medical Network
This presentation will highlight a successful quality improvement initiative that reduced specimen rejection rates in ambulatory care settings through data-driven process improvements, standardized training, and continuous staff education. By implementing evidence-based best practices in specimen collection, monitoring, and reporting, the nursing lab services team achieved a reduction in specimen rejection from 0.71% to 0.49% within one year. Attendees will learn how to apply these strategies to improve patient safety, reduce waste, and enhance operational efficiency in their own organizations.
Upon completion of this activity, learners should be able to:
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Identify common causes of specimen rejection and their impact on patient safety and clinical efficiency
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Apply evidence-based best practices for specimen collection, labeling, and handling to reduce error rates
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Develop and sustain an ongoing education and data monitoring program to maintain high-quality laboratory performance across ambulatory care settings
Intended Audience: Chief Nursing Officers, Chief Quality Officers, Chief Operating Officers, Laboratory Directors, Ambulatory Operations Leaders, Clinic Managers, Clinical Staff: Nursing Leaders, Medical Assistants, Phlebotomists, and Quality Improvement Specialists
Brandi Anderson, MSN, Cardiovascular Quality Program Coordinator, Baylor Scott & White (invited); Elizabeth Ruvalcaba, MSPH, Senior Research Project Lead; Jennifer Obenrader, PharmD, Clinical Senior Research Project Lead; and Elizabeth Ciemins, PhD, MPH, MA, Senior Vice President Research & Analytics, AMGA
Poor adherence to direct oral anticoagulants (DOACs) in patients with non-valvular atrial fibrillation (NVAF) increases hospitalizations and risk of stroke, heart attack, and pulmonary embolism. Three healthcare organizations implemented coordinated, data-driven interventions to improve DOAC adherence through enhanced prescription fill tracking, multidisciplinary outreach, and patient education. Using claims, EHR data, and real-time pharmacy fill information, each organization designed workflows to identify patients at risk for nonadherence and provide targeted support.
Upon completion of this activity, learners should be able to:
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Identify key barriers contributing to poor DOAC adherence, including cost, access, and data visibility gaps within health systems
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Apply strategies for systematically gathering and leveraging medication adherence data to identify and intervene with at-risk patients
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Design multidisciplinary, technology-enabled interventions that improve primary and secondary DOAC adherence and reduce preventable cardiovascular events
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, Chief Pharmacy Officers, Chief Operating Officers, Directors of Pharmacy and Ambulatory Care, Quality Improvement and Population Health Leaders, Cardiology and Primary Care Service Line Administrators, Clinical Informatics Leaders, Ambulatory Nurse Leaders and Pharmacist Leads
Suki Singh, MD, DABOM, System Medical Director for Weight Management and Obesity Medicine Clinics, and Denise White Perkins, MD, PhD, Chair, Department of Family Medicine, Henry Ford Health
Obesity remains one of the most underdiagnosed and undertreated chronic conditions, despite its association with multiple comorbidities and increased mortality. To address these gaps, Henry Ford Health implemented a multipronged quality improvement initiative designed to improve obesity diagnosis, referral, and management across its integrated health system. Interventions included CME training modules for providers, EMR-based decision support tools, and the designation of “clinical obesity champions” with dedicated time for obesity-focused visits.
Upon completion of this activity, learners should be able to:
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Describe system-level interventions that improve obesity diagnosis, treatment, and referral management within an integrated health system
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Evaluate implementation strategies—including CME, decision support tools, and clinical champions—that strengthen provider engagement and care coordination
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Identify barriers, facilitators, and common pitfalls when integrating obesity care into primary care workflows
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Population Health Officers, Chief Operating Officers, Chief Transformation Officers, Primary Care and Specialty Service Line Leaders, Quality Improvement and Population Health Directors, Clinical Informatics and EMR Optimization Leaders, Medical Education and Physician Development Directors, Ambulatory Operations Leaders
Kelly Lopez, BSN, RN, PHN, CIC, Infection Prevention Nurse, and Quyen Hurlburt, MSN, RN, CCTC, Director, Nursing and Clinical Operations, Cedars-Sinai Medical Network
Ambulatory clinic teams often face challenges maintaining compliance with sterilizer monitoring and documentation requirements due to manual processes, inconsistent submissions, and staff turnover. This quality improvement project at Cedars-Sinai Medical Network redesigned reprocessing compliance workflows using electronic systems—REDCap and Tableau—to streamline data submission, improve visibility, and enhance accountability. Over three years, compliance increased from 49% to 95% through technology integration, targeted staff education, and real-time performance monitoring.
Upon completion of this activity, learners should be able to:
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Identify common barriers to reprocessing compliance and describe the impact of manual documentation processes on quality and patient safety
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Evaluate how technology solutions such as REDCap and Tableau dashboards can enhance efficiency, transparency, and data accuracy in compliance monitoring
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Apply strategies for improving staff engagement and education to sustain long-term compliance in ambulatory clinic settings
Intended Audience: Chief Quality Officers, Chief Operating Officers, Chief Nursing Officers, Chief Information Officers, Chief Ambulatory Officers, Ambulatory Operations Directors and Managers, Infection Prevention and Sterilization Leaders, Clinical Education and Staff Development Leaders, Quality Improvement and Regulatory Affairs Managers, Data Analytics and Clinical Informatics Specialists
Stephen Shields, MPH, Senior Population Health Research Analyst, AMGA, and Ruthvik Padival, MD, Medical Director of Inflammatory Bowel Disease, Intermountain Health
Obesity is a major driver of healthcare resource utilization (HCRU), but its effect on patients with ulcerative colitis (UC) has not been well defined. This retrospective cohort study used de-identified electronic health record data from the Optum Labs Data Warehouse to examine demographic, clinical, and utilization patterns across body mass index (BMI) categories in patients with UC. Results demonstrated that higher BMI was associated with elevated inflammatory biomarkers and greater use of emergency, inpatient, and outpatient services. Findings highlight the importance of integrated obesity management strategies in patients with UC to improve outcomes and reduce healthcare burden.
Upon completion of this activity, learners should be able to:
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Describe the relationship between BMI and HCRU in patients with UC
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Interpret key trends in inflammatory biomarkers and clinical outcomes across BMI categories
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Discuss the implications of obesity management on care quality, cost, and patient outcomes in inflammatory bowel disease populations
Intended Audience: Chief Medical Officers, Chief Population Health Officers, Chief Quality Officers, Chief Financial Officers, Gastroenterology Service Line Leaders, Population Health and Care Management Directors, Quality Improvement and Analytics Leaders, Physician Executives overseeing Chronic Disease Management
Zia Khan, MD, Chief Medical Officer, Privia Medical Group, and Jessica Gustin, PharmD, Chief Operating Officer, SynerGrx
This poster presents outcomes from a pharmacist-led Chronic Care Management (CCM) program demonstrating significant impact on medication adherence metrics critical to Medicare Star Ratings and high-value care. The retrospective study compared patients enrolled in pharmacist-led CCM vs. standard care, all having failed adherence measures in 2023. Results showed the CCM group achieved 93.3% composite adherence versus 71.05% in controls (p=0.016), with average PDC scores improving from 63% to 94%. Pharmacists provided education, barrier identification, and consistent engagement, reducing primary care burden while driving quality performance. This poster offers a scalable framework for optimizing adherence metrics and value-based reimbursement through innovative pharmacist integration.
Upon completion of this activity, learners should be able to:
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Evaluate the clinical and financial impact of pharmacist-led CCM programs on medication adherence rates and value-based care performance metrics
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Identify key implementation strategies for integrating pharmacists into interdisciplinary chronic care teams to improve quality measure outcomes
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Apply evidence-based pharmacist intervention models to reduce primary care burden while optimizing Medicare Star Ratings and adherence scores
Intended Audience: Chief Medical Officers, Chief Quality Officers, Chief Financial Officers, Chief Pharmacy Officers, Vice Presidents of Population Health, High-Value Care Directors, Medical Group Executives, Health System Quality Leaders, Pharmacy Directors, Care Management Directors
Stacy Pronga, MA, RDCS, Supervisor, Echocardiography Lab, Department of Cardiology, and Brynn Howard, MHA, Administrator, Department of Cardiology, Mayo Clinic – Rochester
This poster outlines a strategic initiative by the Department of Cardiovascular Medicine addressing growing demand for outpatient echocardiography testing amid staffing shortages and capacity constraints. The team implemented a data-driven templating and scheduling strategy leveraging EHR automation, capacity dashboards, and waitlist analytics to prioritize high-acuity patients and reduce manual scheduling burden. Results demonstrated improved patient access, enhanced operational efficiency, and nearly eliminated manual scheduling processes, improving team satisfaction and reducing burnout.
Upon completion of this activity, learners should be able to:
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Design and implement data-driven scheduling templates using EHR automation to optimize capacity and prioritize high-acuity patients
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Apply capacity monitoring tools and waitlist analytics to improve operational efficiency and reduce manual scheduling burden
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Utilize real-time scheduling data to inform strategic decision making and enhance patient access in resource-constrained environments
Intended Audience: Chief Operating Officers, Chief Medical Officers, Chief Information Officers, Vice Presidents of Operations, Cardiology Service Line Directors, Practice Administrators, Ambulatory Care Leaders, Health System Operational Excellence Directors, Scheduling Operations Managers, Clinical Department Chairs