Bunyamin Ozaydin

Bunyamin Ozaydin
Assistant Professor

Scientist (C), Informatics Institute , School of Medicine
Assistant Professor (P), Health Services Administration , School of Health Professions

Overview

Bunyamin Ozaydin, PhD is an Assistant Professor in the Department of Health Services Administration and Scientist at School of Medicine Informatics Institute. He has a Master's Degree in Electrical Engineering and a PhD in Computer Engineering. Prior to his faculty appointment, he has worked in the Departments of Ophthalmology and Anesthesiology in various informatics roles for almost a decade. He mainly teaches in the Graduate Programs in Health Informatics focusing on systems analysis and design, databases, and various courses in the Data Analytics track. Dr. Ozaydin's research interests include data infrastructures that enable data mining and analytics for health research and application of machine learning techniques in healthcare.

Selected Publications

Academic Article

Year	Title	Altmetric
2020	Analyzing workers’ compensation claims and payments made using data from a large insurance provider. International Journal of Environmental Research and Public Health. 17:1-12. 2020
2020	Healthcare Research and Analytics Data Infrastructure Solution: A Data Warehouse for Health Services Research. Journal of Medical Internet Research. 22. 2020
2020	Does Transparency Affect Hospital Care Outcomes: A Systematic Review of the Literature.. Advances in health care management. 19:129-156. 2020
2019	Inclusiveness and ethical considerations for observational, translational, and clinical cancer health disparity research. Cancer. 125:4452-4461. 2019
2019	Introduction to “health informatics, healthcare quality and safety, and healthcare simulation: the new triad to advance healthcare operations”. Health Systems. 8:153-154. 2019
2019	The emerging literature for the triad of health informatics, healthcare quality and safety, and healthcare simulation. Health Systems. 8:215-227. 2019
2019	Hospital Competition and Financial Performance: A Meta-Analytic Approach. Journal of Health Care Finance. 2019
2018	The Impact of Hospital Competition on Strategies and Outcomes of Hospitals: A Systematic Review of the U.S. Hospitals 1996-2016. Journal of Health Care Finance. 23-42. 2018
2018	Illuminating informatics: Tracking the journey of electronic health data through health information systems. Journal of AHIMA / American Health Information Management Association. 89:40-43. 2018
2018	Longitudinal analysis of high-technology medical services and hospital financial performance. Health Care Management Review. 43:2-11. 2018
2017	Benefits and risks of machine learning decision support systems 2017
2017	Three-Dimensional Anthropometric Evaluation of Facial Morphology. Journal of Craniofacial Surgery. 28:e470-e474. 2017
2017	Text-mining analysis of mHealth research.. Mhealth. 3:53. 2017
2016	Organizational and environmental factors associated with hospital financial performance: A systematic review. Journal of Health Care Finance. 43:13-37. 2016
2015	Vitamin E modulates lung oxidative stress, serum copper, zinc, and iron levels in rats with pulmonary contusion. Turkish Journal of Medical Sciences. 45:268-276. 2015
2011	Association between retinal thickness measured by spectral-domain optical coherence tomography (OCT) and rod-mediated dark adaptation in non-exudative age-related maculopathy. British Journal of Ophthalmology. 95:1427-1432. 2011
2011	System modeling and analysis using communication channels. Journal of Integrated Design and Process Science. 15:1-33. 2011
2009	The African descent and glaucoma evaluation study (ADAGES): Design and baseline data. JAMA Ophthalmology. 127:1136-1145. 2009
2004	Pervasive Shannon Metrics and Component-Based Software. International Journal of Computer and Information Science (IJCIS). 5. 2004
	Healthcare Research and Analytics Data Infrastructure Solution: A Data Warehouse for Health Services Research (Preprint)

Chapter

Year	Title	Altmetric
2016	Data Mining and Clinical Decision Support Systems. 45-68. 2016

Research Overview

In the most general sense Dr. Ozaydin is interested in data infrastructures that enable efficient data mining and analytics in various health-related data. He has been working on developing data warehouses for health services research data and colorectal and breast cancer research data. He is also interested in applications of machine learning techniques to health data to classification and pattern recognition type questions and development and implementation of rule-based and predictive decision support systems.

Investigator On

3/3 Morehouse School of Medicine/Tuskegee University/University of Alabama Cancer Center Partnership awarded by National Cancer Institute/NIH/DHHS

UAB Site Phase 2: I/UCRC for Center for Health Organization Transformation awarded by NSF - National Science Foundation

Teaching Overview

Dr. Ozaydin mainly teaches in the Graduate Programs in Health Informatics. His courses include Analysis and Design of Health Information Systems and Databases and Data Modeling core courses. He also teaches Advanced Database Design and SQL for Health Care and Healthcare Business Intelligence courses in the Data Analytics track.