Technical & Data Core (TDC)

Bynum, Julie – MD, MPH
Credentials: MD, MPH
Role:

Core Leader, Technical & Data Core (TDC)

Primary title: Margaret Terpenning Collegiate Professor of Internal Medicine
Primary Institution: University of Michigan
Complete Titles:

Margaret Terpenning Collegiate Professor of Internal Medicine
Associate Director, Division of Geriatric & Palliative Medicine, University of Michigan

Bio: Julie Bynum, MD, MPH is a Margaret Terpenning collegiate professor of internal medicine and Associate Director of the Division of Geriatric & Palliative Medicine at University of Michigan, earned her BS from Union College, an MPH from the Johns Hopkins School of Hygiene & Public Health, and an MD from Johns Hopkins University School of Medicine. One of Dr. Bynum’s contributions to the field has been to develop a method of creating “virtual” physician-hospital networks that allows the measurement of care delivered and its outcomes for a population served by a specific group of providers. These networks were used in the conceptual development of the Accountable Care Organization legislation.
Core/Team Associations:
Chang, Chiang-Hua – PhD, MS
Credentials: PhD, MS
Role:

Executive Committee, Technical & Data Core (TDC)

Primary title: Research Assistant Professor
Primary Institution: University of Michigan
Complete Titles:

Research Assistant Professor, University of Michigan

Bio: Chiang-Hua Chang, PhD, MS recently joined the faculty of the Division of Geriatric and Palliative Medicine, Department of Internal Medicine at the University of Michigan after spending many years at Dartmouth. After working as a master’s trained statistician as part of The Dartmouth Atlas team, she obtained a PhD in the Evaluative Clinical Sciences and transitioned to Dartmouth faculty where she became an expert in observational studies of health services research in Medicare. With over 30 years of extensive expertise in using Medicare and Medicaid claims data, Dr. Chang has studied regional variation, workforce, care delivery patterns, risk effects of prescription use, and impact of continuity in dementia among Medicare beneficiaries. She is part of the Technical and Data Core providing expertise on development validation processes to identify people living with dementia based on various data sources using novel algorithms, and assisting pilot project teams for specific technical and data issues.
Core/Team Associations:
Dorr, David – MD, MS
Credentials: MD, MS
Role:

Executive Committee, Technical & Data Core (TDC)

Primary title: Professor and Vice Chair of Medical Informatics and Clinical Epidemiology; Professor of Medicine
Primary Institution: OHSU
Complete Titles:

Professor and Vice Chair of Medical Informatics and Clinical Epidemiology
Professor of Medicine, Division of General Internal Medicine and Geriatrics
Chief Research Information Officer, Biomedical Informatics Graduate Program, Oregon Health & Science University School of Medicine

Bio: David Dorr, MD, MS earned his BA in Economics (with minors in Mathematics and Psychology) and his MD from Washington University in St. Louis. He completed Internal Medicine residency at Oregon Health & Science University, and earned a Master’s in Medical Informatics and Health Services Administration from the University of Utah. Broadly, Dr. Dorr’s interests lie in complex care management, especially for older adults and other at-risk populations, coordination of care, collaborative care, chronic disease management, quality, and the requirements of clinical information systems to support these areas. From these interests, he has broadened into clinical information needs, Electronic Health Record (EHR) deployment and Health Information Exchange as a way to expand systems-based approaches to all of health care. Dr. Dorr performs evaluations of care management and informatics initiatives using a variety of methodologies. In his spare time, he is an avid bicyclist and completed Cycle Oregon 2016, riding over 450 miles across the southern coast.
Core/Team Associations:
Lima, Julie – PhD
Credentials: PhD
Role:

Team Leader, IRB & Regulation Team
Team Leader, Data Sharing & Standards Team
Executive Committee, Technical & Data Core (TDC)
Executive Committee, Regulation & Ethics Core

Primary title: Assistant Professor, Health Services, Policy & Practice
Primary Institution: Brown University School of Public Health
Complete Titles:

Assistant Professor, Health Services, Policy & Practice, Brown University School of Public Health

Bio: Julie Lima, MPH, PhD, is assistant professor of health services, policy & practice in the School of Public Health at Brown University. She has been with Brown’s Center for Gerontology and Health Care Research for more than 15 years and is the Center’s expert on data compliance and human subjects research regulatory matters. She maintains the Center’s Handbook of Computing and Research, developed its resource sharing procedures in compliance with NIH policies, and trains faculty and research staff on best practices for acquiring and working with sensitive data. She is also a member of Brown University’s Human Research Advisory Group (BhRAG). As a health services researcher, Dr. Lima has hands-on experience working with both survey and administrative data and has collaborated with national leaders in the areas of unmet need for care for people living with functional limitations in the community; quality of care at the end of life; culture change practices in the nursing homes; and post-acute care among Medicare beneficiaries. She received her Masters of Public Health from Boston University and her doctorate from Brown University.
McCreedy, Ellen – PhD, MPH
Credentials: PhD, MPH
Role:

Executive Committee, Technical & Data Core (TDC)

Primary title: Assistant Professor
Primary Institution: Brown University School of Public Health
Complete Titles:

Assistant Professor, Brown University School of Public Health

Bio: Ellen McCreedy, PhD, MPH is interested in improving the quality of life for people living with advanced dementia. Her research goals are to reduce the amount of futile and burdensome care received at the end of life; and to provide comfort, meaning, and moments of joy to people living with dementia and their families. Professor McCreedy received her MPH in Global Health from the University of South Florida, her PhD in Health Services Research from the University of Minnesota, and recently completed a postdoctoral research fellowship at Brown University, Center for Gerontology and Healthcare Research. Dr. McCreedy is directing a pragmatic trial of a personalized music intervention to reduce agitation and isolation in nursing home residents living with dementia.
Core/Team Associations:
Mor, Vincent – PhD
Credentials: PhD
Role:

Principal Investigator, Administration & Management Core (AC)
Member, Steering Committee

Primary title: Professor of Health Services, Policy & Practice and the Florence Pirce Grant University Health
Primary Institution: Brown University School of Public Health
Complete Titles:

Professor of Health Services, Policy & Practice and the Florence Pirce Grant University Health, Brown University School of Public Health
Research Health Scientist, Providence Veterans Administration Medical Center

Bio: Vincent Mor, PhD professor of health services, policy & practice and Florence Pirce Grant professor in the Brown University School of Public Health, has been principal investigator of 40+ NIH-funded grants focusing on use of health services and outcomes of frail and chronically ill people. He has evaluated the impact of programs and policies including Medicare funding of hospice, changes in Medicare nursing home payment, and the introduction of nursing home quality measures. He co-authored the Congressionally-mandated Minimum Data Set (MDS) and was architect of an integrated Medicare claims and clinical assessment data structure used for policy analysis, pharmaco-epidemiology and population outcome measurement. Dr. Mor developed summary measures using MDS data to characterize residents’ physical, cognitive and psycho-social functioning. These data resources are the heart of the NIA-funded Program Project Grant he leads, “Changing Long Term Care in America,” examining the impact of Medicaid and Medicare policies on long-term care. These data are also at the core of a series of large, pragmatic cluster randomized trials of novel nursing home-based interventions led by Dr. Mor.
Platt, Richard – MD, MSc
Credentials: MD, MSc
Role:

Executive Committee, Technical & Data Core (TDC)

Primary title: Professor and Chair of the Department of Population Medicine
Primary Institution: Harvard Medical School
Complete Titles:

Professor and Chair of the Department of Population Medicine, Harvard Medical School
Executive Director, Harvard Pilgrim Health Care Institute

Bio: Richard Platt, MD, MSc is professor and chair of the Harvard Medical School Department of Population Medicine, and Executive Director of the Harvard Pilgrim Health Care Institute. He has extensive experience in developing systems and capabilities for using routinely collected electronic health information to support public health surveillance, medical product safety assessments, comparative effectiveness and outcomes research, and quality improvement programs. He also has led health system based intervention studies. He is principal investigator of the FDA’s Sentinel program, which performs post-marketing safety surveillance using the electronic health data from over 125 million people. He co-leads the coordinating centers of the NIH Health Care System Research Collaboratory; PCORnet, PCORI’s National Patient Centered Clinical Research Network; and a CDC Prevention Epicenter. He is a member of the Institute of Medicine Leadership Consortium: Collaboration for a Value and Science Driven Learning Health System, and the Association of American Medical Colleges Advisory Panel on Research.
Core/Team Associations:
Vydiswaran, V.G. Vinod – PhD
Credentials: PhD
Role:

Executive Committee, Technical & Data Core (TDC)

Primary title: Assistant Professor of Learning Health Sciences
Primary Institution: University of Michigan
Complete Titles:

Assistant Professor of Learning Health Sciences, University of Michigan

Bio: V.G. Vinod Vydiswaran, PhD is an assistant professor of learning health sciences at the University of Michigan Medical School and assistant professor of information, School of Information. Dr. Vydiswaran’s areas of interest include: natural language processing, text and data mining, health information extraction, information trustworthiness, machine learning. His current research focus is on mining and analyzing health information from multiple sources, including electronic health records, scientific literature, community health forums, and social and information networks, with special interest in analyzing online textual information to infer credibility of medical assertions.
Core/Team Associations: