The Health Informatics in Diabetes Research Core aims to expand the use of evidence-based health information technologies, increase the capacity for using telehealth, and advance the means of managing, scaling, and analyzing information from large, heterogeneous data sets in diabetes translation research.
This Regional Core capitalizes on collaborations with the University of Missouri, including their statewide network of health care sites and extension centers, as well as the Missouri Telehealth Network. Through this strategic partnership with healthcare organizations and key stakeholders, the Core enhances reach and helps to facilitate research with socioeconomically disadvantaged rural communities.
Core Personnel
Eduardo Simoes, MD, MSc, MPH
Core Director: Health Informatics in Diabetes Research Core | Chair, Dr. Stuart Wesbury Distinguished Professor in Health Management & Informatics, HMI Alumni Distinguished Professor at the University of Missouri School of Medicine
Mirna Becevic, PhD
Core Scientist: Health Informatics in Diabetes Research Core | Assistant Research Professor at the University of Missouri
Mahail Popescu, PhD
Co-Core Director: Health Informatics in Diabetes Research Core | Professor of Health Management and Informatics at the University of Missouri
Suzanne Boren, Ph.D., MHA
Core Scientist: Health Informatics in Diabetes Research Core | Professor of Health Management and Informatics at the University of Missouri
Praveen Rao, Ph.D.
Core Scientist: Health Informatics in Diabetes Research Core | Associate Professor of Health Management & Informatics and of Electrical Engineering & Computer Science at the University of Missouri
Core Services
- Provide rapid scientific reviews to identify research priorities
- Facilitate access to a library of evidence-based diabetes research interventions using eHealth, mHealth, and Telehealth technologies .
- Provide one-on-one consultation on:
- Developing research addressing scientific review priorities
- Conducting diabetes translation research through the Missouri Telehealth Network
- How to manage, collate, and analyze complex data sets for the purpose of developing or evaluating eHealth, mHealth, and telehealth interventions
- The use of new data analytic tools and algorithms to facilitate scalable, accessible, and sustainable data infrastructure
- Analyzing EMR data for developing/evaluating eHealth, mHealth, and telehealth interventions
- Facilitate the Diabetes, Equity, and Telehealth Research Network meeting to further the use of telehealth and informatics relevant the diabetes translation research
HIDR Resources
AI-Driven Prediction of Diabetic Complications: Navigating EHR Complexities
Presented by Humayera Islam, PhD as part of Diabetes & Obesity Collaborative Lectureship Series – May 31, 2024
Diabetes Mobile Applications Feature Analysis, a Focus Group Study of Elderly People, and Clinic Note Analysis against the AADE7
Presented by Quing Ye, PhD(c) as part of Diabetes & Obesity Collaborative Lectureship Series – February 8, 2019
Diabetes Self-Management Mobile Applications and a Focus Group Study of Elderly People
Presented by Quing Ye, PhD(c) as part of Diabetes & Obesity Collaborative Lectureship Series – February 2019
Dissemination and Implementation Research: mobile phone-based interventions in diabetes self-management education and support interventions
Presented by Eduardo J. Simoes, MD, MSc, MPH as part of Diabetes & Obesity Collaborative Lectureship Series – December 2020
Effect of Health Information Technologies on Cardiovascular Risk Factors among Patients with Diabetes
Presented by Yilin Yoshida, PhD, MPH & Eduardo Simoes, MD, MSc, MPH as part of Diabetes & Obesity Collaborative Lectureship Series – March 1, 2019
Electronic Clinical Decision Support in Diabetes Care
Presented by Richelle Koopman, MD as part of Diabetes & Obesity Collaborative Lectureship Series – July 28, 2017
Improving Global Cardiometabolic Health: Challenges and Opportunities
Presented by Simin Liu, MD, MPH as part of Diabetes & Obesity Collaborative Lectureship Series – August 31, 2022
Machine Learning-based Long Term Diabetes Risk Calculator for Adolescents
Presented by Sharan Srinivas, PhD as part of Diabetes & Obesity Collaborative Lectureship Series – May 19, 2022
New Sensors for Diabetes Management- a Medical Informatics Perspective
Presented by Mihail Popescu, PhD as part of Diabetes & Obesity Collaborative Lectureship Series – May 5, 2017
Review of Prevention and Management of Type 2 Diabetes
Presented by Eduardo Simoes, MD, MSc, MPH as part of Diabetes & Obesity Collaborative Lectureship Series – August 25, 2023
- The Health Informatics in Diabetes Research Core is made possible through a partnership with the University of Missouri Department of Health Management and Informatics. Learn more about our partner’s page.