October 30, 2024
12:00 PM to 1:00 PM ET
Please join the NEI Office of Data Science and Health Informatics for a session highlighting research opportunities through the Observational Health Data Sciences and Informatics (OHDSI) program. OHDSI is a global collaborative network of researchers, healthcare professionals, data scientists, and informaticians dedicated to improving health outcomes through the analysis of large-scale, standardized healthcare databases. By generating real-world evidence, OHDSI helps uncover insights into disease patterns, treatment effectiveness, and safety profiles.
In this session, Dr. Michelle Hribar and Dr. Cindy Cai will present their research conducted using the OHDSI network and lead a discussion on future research opportunities it offers for the vision health community. A representative from OHDSI, Dr. Patrick Ryan, will present on the network's potential for expanding research collaborations. Additionally, NEI staff will be available to discuss the requirements for the NEI Expand OHDSI Initiative for Eye Care and Ocular Imaging Challenge.
This is a unique opportunity to learn how OHDSI can empower your research, enhance collaboration, and advance eye care. Don’t miss this chance to engage with OHDSI experts and NEI representatives to explore cutting-edge possibilities in data-driven ophthalmology research!
Speakers:
Patrick Ryan, Ph.D.: Patrick Ryan is Vice President, Observational Health Data Analytics at Janssen Research and Development, where he is leading efforts to develop and apply analysis methods to better understand the real-world effects of medical products. He is an original collaborator in Observational Health Data Sciences and Informatics (OHDSI), a multi-stakeholder, interdisciplinary collaborative to create open-source solutions that bring out the value of observational health data through large-scale analytics. He served as a principal investigator of the Observational Medical Outcomes Partnership (OMOP), a public-private partnership chaired by the Food and Drug Administration, where he led methodological research to assess the appropriate use of observational health care data to identify and evaluate drug safety issues.
Patrick received his undergraduate degrees in Computer Science and Operations Research at Cornell University, his Master of Engineering in Operations Research and Industrial Engineering at Cornell, and his PhD in Pharmaceutical Outcomes and Policy from University of North Carolina at Chapel Hill. Patrick has worked in various positions within the pharmaceutical industry at Pfizer and GlaxoSmithKline, and also in academia at the University of Arizona Arthritis Center.
Michelle Hribar, Ph.D., FAMIA: Michelle R. Hribar is an Associate Professor in the Departments of Ophthalmology and Medical Informatics and Clinical Epidemiology at Oregon Health & Science University (OHSU). Her National Institutes of Health-funded research focuses on the effective reuse of electronic health record (EHR) data for research applications in ophthalmology. She has used EHR audit log data for modeling and improving the efficiency of clinical workflows and is studying the quality of ophthalmic clinical data for reuse in research and clinical quality measurement. She recently completed a two-year DATA scholar position at the National Eye Institute where she led efforts to create a federated network of standardized ophthalmic data and imaging within the Observational Health Data Sciences and Informatics (OHDSI) community.
Dr. Hribar received her Ph.D. in Computer Science from Northwestern University and began her professional career in high performance computing, researching and developing parallel software tools at the NASA Ames Research Center. She transitioned to the field of medical informatics when she joined the Biomedical Informatics Shared Resource at OHSU, where she subsequently completed a National Library of Medicine postdoctoral informatics fellowship.
Cindy X. Cai, M.D., M.S.: Cindy Cai is the Jonathan and Marcia Javitt Rising Professor and Assistant Professor of Ophthalmology at the Wilmer Eye Institute. She graduated from Columbia University summa cum laude with a major in biology and minor in music. She received her medical degree from Columbia University and completed her ophthalmology residency at Johns Hopkins with subsequent fellowship training in vitreoretinal surgery at Duke University. She received her Master of Science in Applied Health Sciences Informatics at the Johns Hopkins University. She is now a clinician-scientist and practicing retina specialist at the Wilmer Eye Institute. Her research, supported by the National Eye Institute and Research to Prevent Blindness, is focused on promoting health equity in diabetic retinopathy care using informatics tools. She also has a keen interest in leveraging big data, such as the electronic health record (EHR) and federated data networks, to develop personalized eye care for patients with diabetes.
Disclosures: grant support from Regeneron Pharmaceuticals, Inc.
Series Description:
The NEI Office of Data Science and Health Informatics (ODSHI) cordially invites you to join us for an engaging series of lecture events and dialogues throughout 2024. These gatherings will showcase esteemed experts from academia, industry, non-profits, government sectors, and others who will delve into their cutting-edge work on topics at the intersections of health informatics and data for vision science. Unlike conventional seminars, this series offers interactive sessions that encourages dialogue among audience members and with expert speakers. Embracing a diverse spectrum of topics, these events will highlight the breadth of ongoing research, the pertinent gaps and challenges therein, and the promising opportunities on the horizon.
Accommodations:
If you are an individual with a disability who needs reasonable accommodations to participate in this event, please send an email with your request to the Office of Data Science and Health Informatics at neiodshi@nih.gov at least 3 days prior to the event.