iMpact Seminar

Upcoming iMpact Seminars

Zoom Registration Now Open!

The iMpact seminar series takes place the first Tuesday of each month from 12-1pm CST. The purpose of this online seminar is to enrich those interested in advancing the work of learning health systems. Our focus is exploring the many facets and dimensions of impact that the ideas, technologies, and practices presented have on learning health systems.

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Rachel Richesson | February 7, 2023

Rachel Richesson, PhD, MPH, MS

Rachel Richesson, PhD, MPH

Professor of Learning Health Sciences, University of Michigan Medical School

Computable Phenotyping in Pragmatic Clinical Trials and Learning Health Systems

Learning Health Systems thrive with use of real-world data from electronic health record (EHR) systems in both observational and interventional research to generate real-world evidence. Computable phenotypes are specified definitions that can be used to identify patients with particular clinical conditions through computerized queries to EHR systems or data repositories using defined data elements, codes, and logical expressions. Computable phenotypes can facilitate research and learning by supporting the identification of patient populations, the delivery of clinical interventions, and the assessment of outcomes. The sharing and re-use of computable phenotypes can enhance the efficiency of pragmatic research and the dissemination of evidence-based interventions into real-world settings. This talk will discuss current platforms for identifying existing computational phenotypes as well as challenges and strategies for their implementation and validation in learning health systems.

Paula Lozano | March 7, 2023

Paula Lozano, MD, MPH

Senior Investigator, Kaiser Permanente Washington Health Research Institute
Director, Center for Accelerating Care Transformation
Senior Associate Medical Director for Research and Translation, Washington Permanente Medical Group

Priyanka Desai | April 4, 2023

Priyanka Desai, PhD

Senior Research Scientist at NORC at the University of Chicago

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Rohit Ramaswamy | December 6, 2022

Rohit Ramaswamy, PhD, MPH
Professor of Pediatrics and co-Director of research at the James M. Anderson Center for Health Systems Excellence

Learning Through Spread: Evaluating Community Health Improvement Initiatives in 20 Communities in the U.S.

Community Health Improvement initiatives involve multi-faceted interventions in heterogeneous settings.  Evaluations focusing on just the effectiveness of such initiatives have yielded inconclusive results. Developmental evaluation approaches that gather information routinely over time and feed it back for learning and improvement have been suggested as more suitable for use in complex settings. This talk describes a collaborative formative and summative evaluation of a Robert Wood Johnson Foundation funded national health improvement program called SCALE (Scaling Community Accelerators through Learning and Evaluation) using a developmental evaluation approach. The formative evaluation used a combination of observation, inquiry and reflection to identify opportunities to improve the implementation of the program. The summative evaluation involved a structured process of data synthesis carried out with the communities. Together, the evaluations helped to gain knowledge on common pathways for improvement and change, and to identify factors that accelerated and impeded the process of transformation in communities. This talk will describe the program, the evaluation questions, the approach used, the findings and the lessons learned.

Dr. Rohit Ramaswamy is a Professor of Pediatrics and co-director of research at the James M. Anderson Center for Health Systems Excellence. Prior to joining Cincinnati Children's, he was the Associate Director of the Public Health Leadership Program and a Professor in Maternal and Child Health at the Gillings School of Global Public Health at the University of North Carolina at Chapel Hill.  
 
Dr. Ramaswamy’s area of expertise is in Implementation and Improvement science, which deals with the development and evaluation of systematic methods and tools to sustainably implement and improve complex interventions. His work blends the tools of systems science, design thinking, implementation science and continuous quality improvement to build capacity for implementation. His global projects include the improvement of clinical and operational processes in tertiary maternity hospitals in Ghana, integrating mental health service delivery into the district primary health care system in India. His has developed and taught Implementation Science programs in South Africa and in Zambia. In the US, he has led the development of innovative methods to evaluate complex community transformation initiatives.  Dr. Ramaswamy has a Bachelor of Technology degree in Mechanical Engineering from the Indian Institute of Technology, MS and PhD degrees in Civil Engineering from the Massachusetts Institute of Technology, a MPH degree from the University of North Carolina at Chapel Hill and a Graduate Diploma in Biostatistics from the University of Sydney.


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David Dorr | November 1, 2022

David Dorr, MD, MS

Chief Research Information Officer
Professor and Vice Chair, Department of Medical Informatics & Clinical Epidemiology
Professor, General Internal Medicine and Geriatrics
Oregon Health & Science University

Data-driven learning health system @ OHSU: From shared governance to pragmatic trials

Abstract: We will explore the journey to a learning health system from the informatics perspective. This will include: establishing cross mission priorities, standing up governance, and supporting innovation across the spectrum of needs.


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Special Edition | Linda Zittleman | October 6, 2022

Linda Zittleman, MSPH 

Senior Instructor, Department of Family Medicine; Co-Director, High Plains Research Network, University of Colorado School of Medicine

Notes from the Field - the HPRN Practice-Based Research Network

Abstract: This presentation will provide an overview of the High Plains Research Network (HPRN), a practice-based research network in rural eastern Colorado. The talk will offer a description of the network's origins, structure, staff and infrastructure, and efforts to engage and partner with local community members. Select projects will be featured to illustrate the types of projects and funding sources over its 25 year history - and the impact on the delivery of primary care and the health in the HPRN region.


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Thomas Campion | October 4, 2022

Thomas Campion, PhD

Associate Professor of Population Health Sciences; Chief Research Informatics Officer, Weill Cornell Medicine

Supporting Clinical and Translational Researchers with Electronic Patient Data

Thomas R. Campion, Jr., Ph.D. leads Weill Cornell Medicine's efforts to support clinical and translational investigators with electronic patient data, especially through the secondary use of electronic health record (EHR) data. Dr. Campion is Associate Professor of Research in Population Health Sciences in the Division of Health Informatics. As Chief Research Informatics Officer in the Information Technologies & Services Department (ITS) and Office of the Senior Associate Dean for Clinical Research as well as Director of Biomedical Informatics in the Clinical & Translational Science Center (CTSC), he leads the Architecture for Research Computing in Health (ARCH) program, which matches scientists with tools and services for obtaining electronic patient data. His research interests include electronic infrastructure to support clinical and translational scientists, measurement of the biomedical research enterprise, computable phenotyping, clinical decision support, health information exchange, and organizational issues in informatics. He earned a master of science and doctor of philosophy in biomedical informatics from Vanderbilt University and a bachelor of arts in organizational studies and German from the University of Michigan.


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Chris Longhurst | September 6, 2022

Chris Longhurst, MD, MS

Chief Medical Officer; Chief Digital Officer; Associate Dean, UC San Diego School of Medicine

Building a Highly Reliable, Learning Health System @ UC San Diego

Abstract: The healthcare informatics landscape is changing rapidly and the COVID pandemic accelerated digital health trends like virtual care, remote patient monitoring, and AI-enabled clinical decision support. In this presentation, Dr. Chris Longhurst, Chief Medical and Digital Officer at UC San Diego Health, will share how these tools can support the journey to a highly reliable learning health system. 


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Sripriya Rajamani | August 2, 2022

Sripriya Rajamani, MBBS, PhD, MPH, FAMIA

Clinical Associate Professor, School of Nursing
Affiliate Faculty, Institute for Health Informatics, University of Minnesota
Informatics Consultant, Minnesota Department of Health

Perspectives on the Public Health Informatics Landscape via a Learning Health System Lens

Abstract: The COVID-19 pandemic has highlighted the critical role of public health and underscored the need for a robust public health information infrastructure supported by an informatics-savvy workforce. This presentation will present an overview of the field of public health informatics, highlight select public/population health informatics projects and potential alignment with Learning Health Systems (LHS). The current state of public health informatics workforce including needs to build capacity and diversity and exciting initiatives to improve this, including a recent federally funded informatics training grant will be covered. Ultimately, bringing an LHS framework to public health and strong supporting informatics brings opportunities for new collaborations, including in large part traditional academic-practice partnerships but also partnerships with other stakeholders including community, industry and payer partnerships.


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Christopher A. Harle | July 5, 2022

Christopher Harle, PhD

Professor and Chief Research Information Officer, University of Florida

Building Health Data Services for Data Science and Artificial Intelligence Research Impact
Abstract: As interest in data science applications in health has grown, so has demand for findable, accessible, interoperable, and reusable (FAIR) real-world health data for research. To meet this demand, academic health center information technology (IT) and informatics organizations are tasked with finding new and novel approaches to delivering research data services. In this talk, I will share a conceptual framework that we are applying to research data service operations at the University of Florida (UF) Health. The framework derives from operations management approaches to successfully breaking the tradeoff between efficiency and service in the face of customer-introduced variability. I will discuss our ongoing local efforts to effectively serve trainees and research teams that have a wide range of disciplinary backgrounds, data science skills, and application domain interests.

 


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