Director, Center for Populations Health Research
Location: Cleveland Clinic Main Campus
Dr. Dalton is a health services researcher with expertise in data science, risk prediction modeling, econometric analysis, and simulation. His research is grounded in collaborative, systems-based approaches to understanding health status, care and outcomes across diverse patient populations. He has established methods for studying population-level variation in risk, treatment effectiveness and outcomes, particularly across the socioeconomic spectrum and across the life course. He has developed methods for evaluating and optimizing clinical treatment decisions.
Dr. Dalton serves as Associate Staff in Quantitative Health Sciences, Director of the Center for Populations Health Research and Associate Professor of Medicine, Lerner College of Medicine. He began his 16-year career at Cleveland Clinic as a biostatistician, working on the design, analysis and facilitation of clinical trials and observational cohort studies.
Jarrod Dalton, Ph.D. is Director of the Center for Populations Health Research and Associate Staff in the Department of Quantitative Health Sciences at the Lerner Research Institute. He is also Associate Professor of Medicine in the Cleveland Clinic Lerner College of Medicine at Case Western Reserve University. The mission of the Center for Populations Health Research is to improve the health of all lives and promote health equity through partnerships that leverage advanced and innovative research methodologies which consider the diversity of health status, care and outcomes among populations; to translate findings from this research into policy and practice; and to evaluate the impact of these efforts.
Dr. Dalton has conducted National Institutes of Health-funded population health research continuously since 2013, including a National Institute on Aging-funded collaboration between Cleveland Clinic and MetroHealth System to understand neighborhood-level variation in cardiovascular risk. He also co-leads an National Heart, Lung, and Blood Institute-funded project to develop more equitable policies for lung transplant allocation through the application of robust statistical and simulation-based modeling approaches. Dr. Dalton has over 100 peer-reviewed scientific articles, and is a member of the editorial board for Medical Decision Making. His scientific contributions have earned the designation of Top-Ranked Abstract at 3 recent Annual Meetings of the Society for Medical Decision Making (SMDM). He received the 2018 SMDM Outstanding Paper by a Young Investigator Award for his Annals of Internal Medicine article.
1) Assessing and improving accuracy of clinical prediction models implemented in guidelines and policy.
2) Adapting electronic health records for population health research and longitudinal studies in aging.
3) Health services research studies evaluating and optimizing clinical decisions and programs.
4) Methods and technologies for quantitative modeling in population health and clinical systems science.
5) Other studies of variation in disease burden, risk and outcomes within and among specific populations.
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The new method has the potential to guide patient care decisions and improve clinical outcomes.
Following a report on racial disparities in organ transplantation, researchers asked whether socioeconomics or geography affects disparity.
Cleveland Clinic and MetroHealth researchers to use $3.14 million NIH grant to build data models for investigating place-based healthcare inequities.
With a new grant from the National Heart, Lung, and Blood Institute, Drs. Dalton and Valapour will develop an improved risk modeling approach to help prioritize patients with advanced lung diseases who need a transplant.