Omolola Ogunyemi, PhD
Title Professor
Institution Charles R. Drew University of Medicine and Science
Department Preventive and Social Medicine
School College of Medicine
Address 1731 E. 120th Street,2nd Floor, LSRNE Building


Telephone (323) 249-5732
Fax (323) 249-5726
Email
Awards and Honors
1991 New York City Transit Authority Internship Award: "Outstanding Achievement & Exceptional Performance"
1997 American Medical Informatics Association Fall Symposium: Nominated for a Best Paper award
1998 AT&T Research: Second place winner, Ph.D. division, student poster competition
2003 National Library of Medicine: Member, Biomedical Library and Informatics Review Committee (2003-2007)
2005 American Medical Informatics Association Fall Symposium: Nominated for a Distinguished Paper award
2010 National Library of Medicine: Member, Literature Selection and Technical Review Committee (2010 - 2014)
2013 National Library of Medicine: Chair, Literature Selection and Technical Review Committee (2013 - 2014)
2017 Charles R. Drew University of Medicine and Science Academic Senate Outstanding Faculty Award
2019 Elected Fellow, American College of Medical Informatics
Overview
Lola Ogunyemi is a computer scientist and biomedical informatics researcher. Her research interests include computerized medical decision support, reasoning under uncertainty, 3D graphics and visualization, and machine learning. Her current research focuses on developing and evaluating novel computerized decision support systems for different biomedical domains, including trauma, breast cancer, diabetes, depression, chronic kidney disease, and HIV. She is currently working on a National Library of Medicine-funded R01 study of machine learning and diabetic retinopathy. She has been principal investigator on a National Library of Medicine-funded R01 study of computerized decision support for penetrating trauma, and on a National Cancer Institute-funded R03 study of individualized breast cancer risk prediction using Bayesian networks. She is currently Director of Charles Drew University's Center for Biomedical Informatics and a co-chair of the UCLA CTSI's biomedical informatics program. She is also an Adjunct Professor of Radiological Sciences in the David Geffen School of Medicine at UCLA with the Medical Imaging Informatics group.

Dr. Ogunyemi holds an undergraduate degree in Computer Science from Barnard College, Columbia University and an M.S.E, and Ph.D. in Computer and Information Science from the University of Pennsylvania. Before moving to Charles Drew University to become the Director of the Center for Biomedical Informatics, Dr. Ogunyemi was a biomedical informatics faculty member in the Department of Radiology at Brigham and Women's Hospital and Harvard Medical School from 1999 until 2007. She was also a member of the affiliated faculty in the Harvard-MIT Division of Health Sciences and Technology from 2003 until 2007. She served as a faculty member in the Boston-area National Library of Medicine-funded biomedical informatics fellowship training program (1999-2007). She has taught graduate level biomedical informatics courses in the Harvard-MIT Division of Health Sciences and Technology, at UCLA, and short courses on informatics at the University of Natal (now KwaZulu-Natal), Durban, South Africa. She served as an editorial board member of the journal Computers in Biology and Medicine from 2007 until 2013. She served on the National Library of Medicine's Biomedical Library and Informatics Review Committee study section from 2003-2007 and on the National Library of Medicine's Literature Selection and Technical Review Committee from 2010-2014 as a member and as chair (2013-2014). She served as a member of the Agency for Healthcare Research and Quality's Health Information Technology Research study section (2016 - 2019). She is currently an editorial board member for the Journal of Biomedical Informatics (2015 - 2022), an elected Fellow of the American College of Medical Informatics and a Member-at-Large of the American College of Medical Informatics Executive Committee.
Education & Training
University of Pennsylvania, Philadelphia, USAPh.D.1999Computer and Information Science
University of Pennsylvania, Philadelphia, USAM.S.E.1994Computer and Information Science
Barnard College, New York, USAB.A.1993Computer Science
Teaching
CDU MBS 520, Principles of Biomedical Informatics, Thursdays 6 - 8 p.m., Fall 2016, Fall 2017, Fall 2018, Fall 2019, Fall 2020.
Publications
1. Cheng Y, Mohanty AF, Ogunyemi OI, Smith CA, Leroy G, Zeng QT. 2018 Salary Survey of AMIA Members: Factors Associated with Higher Salaries. AMIA Annu Symp Proc. 2019; 2019:275-284.
  View in: PubMed
 
2. Ogunyemi OI, Gandhi M, Tayek C. Predictive Models for Diabetic Retinopathy from Non-Image Teleretinal Screening Data. AMIA Jt Summits Transl Sci Proc. 2019; 2019:472-477.
  View in: PubMed
 
3. George SM, Hayes EM, Fish A, Daskivich LP, Ogunyemi OI. Understanding the Knowledge Gap Experienced by U.S. Safety Net Patients in Teleretinal Screening. AMIA Annu Symp Proc. 2016; 2016:590-599.
  View in: PubMed
 
4. Ogunyemi O, Kermah D. Machine Learning Approaches for Detecting Diabetic Retinopathy from Clinical and Public Health Records. AMIA Annu Symp Proc. 2015; 2015:983-90.
  View in: PubMed
 
5. Ogunyemi O, George S, Patty L, Teklehaimanot S, Baker R. Teleretinal screening for diabetic retinopathy in six Los Angeles urban safety-net clinics: final study results. AMIA Annu Symp Proc. 2013; 2013:1082-8.
  View in: PubMed
 
6. Ogunyemi OI, Meeker D, Kim HE, Ashish N, Farzaneh S, Boxwala A. Identifying appropriate reference data models for comparative effectiveness research (CER) studies based on data from clinical information systems. Med Care. 2013 Aug; 51(8 Suppl 3):S45-52.
  View in: PubMed
 
7. Ogunyemi O, Moran E, Patty Daskivich L, George S, Teklehaimanot S, Ilapakurthi R, Lopez K, Norris K. Autonomy versus automation: perceptions of nonmydriatic camera choice for teleretinal screening in an urban safety net clinic. Telemed J E Health. 2013 Aug; 19(8):591-6.
  View in: PubMed
 
8. Ogunyemi O, Teklehaimanot S, Patty L, Moran E, George S. Evaluating predictive modeling's potential to improve teleretinal screening participation in urban safety net clinics. Stud Health Technol Inform. 2013; 192:162-5.
  View in: PubMed
 
9. George S, Moran E, Fish A, Ogunyemi L. Understanding the digital divide in the clinical setting: the technology knowledge gap experienced by US safety net patients during teleretinal screening. Stud Health Technol Inform. 2013; 192:946.
  View in: PubMed
 
10. George S, Hindman D, Ani C, Ogunyemi O, Mukherjee S, Ilapakurthi R, Verma M, Baker R, Dayrit M. In Building Community Capacity: Skills and Principles, Rosemary M Caron and Joav Merrick, eds. Development of a Clinical Information System in an Underserved Community Clinic: A Community Partnered Participatory Research Approach (CPPR). 2012.
 
11. Fish A, George S, Terrien E, Eccles A, Baker R, Ogunyemi O. Workflow concerns and workarounds of readers in an urban safety net teleretinal screening study. AMIA Annu Symp Proc. 2011; 2011:417-26.
  View in: PubMed
 
12. Ogunyemi O, Terrien E, Eccles A, Patty L, George S, Fish A, Teklehaimanot S, Ilapakurthi R, Aimiuwu O, Baker R. Teleretinal screening for diabetic retinopathy in six Los Angeles urban safety-net clinics: initial findings. AMIA Annu Symp Proc. 2011; 2011:1027-35.
  View in: PubMed
 
13. Martins D, Ani C, Pan D, Ogunyemi O, Norris K. Renal dysfunction, metabolic syndrome and cardiovascular disease mortality. J Nutr Metab. 2010; 2010.
  View in: PubMed
 
14. Ogunyemi O, Mukherjee S, Ani C, Hindman D, George S, Ilapakurthi R, Verma M, Dayrit M. CEDRIC: a computerized chronic disease management system for urban, safety net clinics. Stud Health Technol Inform. 2010; 160(Pt 1):208-12.
  View in: PubMed
 
15. Ahmed BA, Matheny ME, Rice PL, Clarke JR, Ogunyemi OI. A comparison of methods for assessing penetrating trauma on retrospective multi-center data. J Biomed Inform. 2009 Apr; 42(2):308-16.
  View in: PubMed
 
16. Chun J, Schnabel F, Ogunyemi O. Assessing a Bayesian risk prediction model in a high-risk breast cancer population. AMIA Annu Symp Proc. 2007 Oct 11; 913.
  View in: PubMed
 
17. Ogunyemi O. Methods for reasoning from geometry about anatomic structures injured by penetrating trauma. J Biomed Inform. 2006 Aug; 39(4):389-400.
  View in: PubMed
 
18. Matheny ME, Ogunyemi OI, Rice PL, Clarke JR. Evaluating the discriminatory power of a computer-based system for assessing penetrating trauma on retrospective multi-center data. AMIA Annu Symp Proc. 2005; 500-4.
  View in: PubMed
 
19. Wang D, Peleg M, Tu SW, Boxwala AA, Ogunyemi O, Zeng Q, Greenes RA, Patel VL, Shortliffe EH. Design and implementation of the GLIF3 guideline execution engine. J Biomed Inform. 2004 Oct; 37(5):305-18.
  View in: PubMed
 
20. Boxwala AA, Peleg M, Tu S, Ogunyemi O, Zeng QT, Wang D, Patel VL, Greenes RA, Shortliffe EH. GLIF3: a representation format for sharable computer-interpretable clinical practice guidelines. J Biomed Inform. 2004 Jun; 37(3):147-61.
  View in: PubMed
 
21. Sordo M, Boxwala AA, Ogunyemi O, Greenes RA. Description and status update on GELLO: a proposed standardized object-oriented expression language for clinical decision support. Stud Health Technol Inform. 2004; 107(Pt 1):164-8.
  View in: PubMed
 
22. Peleg M, Boxwala AA, Tu S, Zeng Q, Ogunyemi O, Wang D, Patel VL, Greenes RA, Shortliffe EH. The InterMed approach to sharable computer-interpretable guidelines: a review. J Am Med Inform Assoc. 2004 Jan-Feb; 11(1):1-10.
  View in: PubMed
 
23. Sordo M, Ogunyemi O, Boxwala AA, Greenes RA. GELLO: an object-oriented query and expression language for clinical decision support. AMIA Annu Symp Proc. 2003; 1012.
  View in: PubMed
 
24. Ogunyemi OI, Clarke JR, Ash N, Webber BL. Combining geometric and probabilistic reasoning for computer-based penetrating-trauma assessment. J Am Med Inform Assoc. 2002 May-Jun; 9(3):273-82.
  View in: PubMed
 
25. Boxwala AA, Tu S, Peleg M, Zeng Q, Ogunyemi O, Greenes RA, Shortliffe EH, Patel VL. Toward a representation format for sharable clinical guidelines. J Biomed Inform. 2001 Jun; 34(3):157-69.
  View in: PubMed
 
26. Ash N, Ogunyemi O, Zeng Q, Ohno-Machado L. Finding appropriate clinical trials: evaluating encoded eligibility criteria with incomplete data. Proc AMIA Symp. 2001; 27-31.
  View in: PubMed
 
27. Peleg M, Ogunyemi O, Tu S, Boxwala AA, Zeng Q, Greenes RA, Shortliffe EH. Using features of Arden Syntax with object-oriented medical data models for guideline modeling. Proc AMIA Symp. 2001; 523-7.
  View in: PubMed
 
28. Ogunyemi O, Clarke JR, Webber B, Badler N. TraumaSCAN: assessing penetrating trauma with geometric and probabilistic reasoning. Proc AMIA Symp. 2000; 620-4.
  View in: PubMed
 
29. Peleg M, Boxwala AA, Ogunyemi O, Zeng Q, Tu S, Lacson R, Bernstam E, Ash N, Mork P, Ohno-Machado L, Shortliffe EH, Greenes RA. GLIF3: the evolution of a guideline representation format. Proc AMIA Symp. 2000; 645-9.
  View in: PubMed
 
30. Ogunyemi O, Clarke JR, and Webber B. Using Bayesian networks for diagnostic reasoning in penetrating injury assessment. Proceedings of the Thirteenth Annual IEEE Symposium on Computer-Based Medical Systems; Houston, Texas; IEEE Computer Society Press. 2000; 115-120.
 
31. Ogunyemi O, Webber B, and Clarke JR. Probabilistically predicting penetrating injury for decision support. Proceedings of the Eleventh Annual IEEE Symposium on Computer-Based Medical Systems. Lubbock, Texas; IEEE Computer Society Press. 1998; 44-49.
  View in: External Web Site
 
32. Ogunyemi O, Webber B, Clarke JR. Probabilistic predictions of penetrating injury to anatomic structures. Proc AMIA Annu Fall Symp. 1997; 714-8.
  View in: PubMed
 
33. Chi DM, Kokkevis E, Ogunyemi O, Bindiganavale R, Hollick MJ, Clarke JR, Webber BL, Badler NI. Simulated casualties and medics for emergency training. Stud Health Technol Inform. 1997; 39:486-94.
  View in: PubMed
 
34. Ogunyemi O, Kaye J, Webber B, Clarke JR. Generating penetration path hypotheses for decision support in multiple trauma. Proc Annu Symp Comput Appl Med Care. 1995; 42-6.
  View in: PubMed
 
35. Badler N, Webber B, Clarke JR, Chi D, Hollick M, Foster N, Kokkevis E, Metaxas, D, Ogunyemi O, Kaye J, Bindiganavale R . Medisim: Simulated medical corpsmen and casualties for medical forces planning and training. In The National Forum: Military Telemedicine On-Line Today. Research, Practice and Opportunities, IEEE Computer Society Press. 1995.
  View in: External Web Site
 
Funding Opportunities

Click terms below for current NIH/NSF funding opportunities.
  • Diabetic Retinopathy


  • Telemedicine


  • Mass Screening


  • Safety-net Providers


  • Decision Support Systems, Clinical


Local representatives can answer questions about the Profiles website or help with editing a profile or issues with profile data. For assistance with this profile:
 
Keyword
Last Name
Institution
Department
School
    
 
 
 
Co-Authors  
Ani, Chizobam
George, Sheba
Hindman, David
Martins, David
Pan, Deyu
See all (7) people
Physical Neighbors  
Lucas-Wright, Anna (Aziza)
Martins, David
Williams, Pluscedia
George, Sheba
Mukherjee, Sukrit


© Charles Drew University of Medicine And Science - Accelerating Excellence In Translational Science (AXIS), All rights reserved.