Speakers: Abu Saleh Mohammad Mosa, PhD

Abu Saleh Mohammad Mosa, PhD

Director of Research Informatics Lab
Assistant Research Professor of Health Informatics
Core Faculty of Institute for Data Science and Informatics (PhD Program)
Adjunct Assistant Professor of Electrical Engineering and Computer Science
University of Missouri School of Medicine 

 

Abu Saleh Mohammad Mosa, PhD is an Assistant Research Professor of Health Informatics, an Adjunct Assistant Professor of Electrical Engineering and Computer Science, a member of the Core Faculty of Institute for Data Science and Informatics, and he leads the Research Informatics Lab at the NextGen Biomedical Informatics Center at the University of Missouri (MU) School of Medicine. Dr. Mosa also served as the Director of Research Informatics for the MU School of Medicine and the Institute for Clinical and Translational Science from 2013 to 2019. Dr. Mosa obtained his Bachelor’s degree in Computer Science and Engineering from the Bangladesh University of Engineering and Technology, followed by a Master’s degree in Computer Science from the University College Dublin, and a Doctoral degree in Health Informatics from the University of Missouri. Dr. Mosa received the NIH Data Science Rotations for Advancing Discovery (RoAD-Trip) Fellowship in 2018 and received the honor of 2020 inductee of the Fellow of American Medical Informatics Association (FAMIA). Dr. Mosa served as the principal investigator (PI) and co-investigator for numerous extramural research grants funded by PCORI, NIH, AHRQ, State of Missouri, and industry partners. He also served as the site-PI for MU’s participation in the Greater Plains Collaborative (GPC) PCORNet Clinical Research Network, which is a national healthcare data infrastructure grant funded by PCORI.

Making Real-World EHR Data Accessible for Research

Real-World EHR data is a key ingredient for conducting prospective clinical trials, observational studies, and health data science research. Deployment of tools, techniques and engagement methods for improved accessibility of clinical data to research community is highly important for increasing research productivity. The University of Missouri (MU) School of Medicine is modernizing the data and computational infrastructure for supporting its NextGen Precision Health Initiative that aligns with the national efforts such as the PCORnet Clinical Research Network (PCORnet CRN) and CTSA Accrual to Clinical Trials Network (CTSA ACT). The presentation will primarily focus on data warehousing, technology architecture, record linkage, data quality, and accessibility of data for research.