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1. BIOGRAPHICAL SKETCH
NAME: Obeid, Jihad S.
eRA COMMONS USER NAME: JOBEID
POSITION TITLE: Associate Professor, Department of Public Health Sciences
EDUCATION/TRAINING (Begin with baccalaureate education, include postdoctoral training and residency training if applicable.)
INSTITUTION AND LOCATION
DEGREE
(if applicable)
Completion Date
MM/YYYY
FIELD OF STUDY
American University of Beirut, Beirut BS 1982 Biology
American University of Beirut, Beirut MD 06/1987 Medicine
Duke University Medical Center, Durham, NC Resident 06/1990 Pediatrics
Cornell University Medical College Fellow 06/1993 Ped. Endocrinology
Division of Health Sciences and Technology, Harvard-MIT,
Boston, MA
Fellow 06/1995 Medical Informatics
A. Personal Statement
I am Co-Director of the Biomedical Informatics Center at MUSC, which serves the South Carolina Clinical &
Translational Research Institute (SCTR) and Health Sciences South Carolina (HSSC) at a statewide level. I am
a pediatrician, formally trained in Informatics at the Division of Health Sciences and Technology, a joint Harvard-
MIT fellowship program funded by the National Library of Medicine. I have extensive experience in research
informatics, starting in 1998 as Director of the Pediatric GCRC Informatics Core at Weill-Cornell Medical College
(WCMC) and later as Associate Director of Informatics in their Clinical and Translational Science Center. At
MUSC, I oversee several academic and operational informatics initiatives and lead multiple Clinical and
Translational Science Award (CTSA)-related Informatics projects at MUSC and across the state, such as the
Clinical Data Warehouse (CDW), i2b2, REDCap, Palmetto Profiles research networking system and others. I
also am the Principal Investigator of record on IRB protocols for the CDW research workflow, both at MUSC and
statewide at HSSC. At the national level, I was elected a member of the National CTSA Informatics Operations
Committee (2012-2013), co-chaired the REDCap Library Oversight Committee for reviewing shared data
collection instruments within the international consortium, led the Electronic Consent Affinity Group with
membership from several CTSA institutions, and participated on several other working groups. I am the Division
Head for Biomedical Informatics in the Department of Public Health Sciences at MUSC, where I direct and teach
an Informatics course on Data Management in the Master of Science in Clinical Research program. I have been
a co-investigator or informatics leader on several NIH funded projects with research Informatics components.
1. Obeid J, Gabriel D, Sanderson I. A Biomedical Research Permissions Ontology: Cognitive and Knowledge
Representation Considerations. Proc Gov Technol Inf Policies. 2010; 2010: 9-13. PMCID: PMC4669972.
2. Obeid JS, Gerken K, Madathil KC, Rugg D, Alstad CE, Fryar K, Alexander R, Gramopadhye AK, Moskowitz
J, Sanderson IC. Development of an electronic research permissions management system to enhance
informed consents and capture research authorizations data. AMIA Jt Summits Transl Sci Proc. 2013; 2013:
189-93. PMCID: PMC3845791.
3. Obeid JS, Johnson LM, Stallings S, Eichmann D. Research networking systems: the state of adoption at
institutions aiming to augment translational research infrastructure. J Transl Med Epidemiol. 2014; 2(2):
1026. PMCID: PMC4610407.
4. Obeid JS, McGraw CA, Minor BL, Conde JG, Pawluk R, Lin M, Wang J, Banks SR, Hemphill SA, Taylor R,
Harris PA. Procurement of shared data instruments for Research Electronic Data Capture (REDCap). J
Biomed Inform. 2013; 46(2): 259-65. PMCID: PMC3600393.
B. Positions and Honors
Positions and Employment
1987-1990 Pediatric Resident, Duke University Medical Center, Durham, NC
1990-1993 Pediatric Endocrinology Fellow, Cornell University Medical College, New York, NY
1993-1995 Medical Informatics Fellow, Harvard Medical School, Massachusetts Institute of Technology,
Division of Health Sciences and Technology, Brigham and Women’s Hospital, Boston, MA
1995-1996 Research Associate, Medical Informatics, Brigham and Women's Hospital, Boston, MA
2. 1996-2003 Assistant Professor of Pediatrics, Weill Medical College of Cornell University, New York, NY
2004-2007 Research Subject Advocate, General Clinical Research Center, Weill Cornell Medical College,
New York, NY
2004-2007 Director, Informatics Core, Children’s Clinical Research Center, Weill Cornell Medical College,
New York, NY
2007-2008 Biomedical Informatics Associate Director, Clinical Translational Research Center, Weill Cornell
Medical College, New York, NY
2007-2008 Research Subject Advocate, Clinical Translational Research Center, Weill Cornell Medical
College, New York, NY
2008-2009 Associate Professor, Department of Biostatistics, Bioinformatics & Epidemiology, Medical
University of South Carolina, Charleston, SC (MUSC)
2009-Present Associate Professor, Department of Psychiatry & Behavioral Sciences, MUSC
2012-Present Co-director, Biomedical Informatics Center, MUSC
2014-Present Associate Professor, Department of Public Health Sciences, MUSC
2015-Present Division Head, Division of Biomedical Informatics, Health Systems & Policy, Department of
Public Health Sciences, MUSC
Other Experience and Professional Memberships
2009 - Member, American Medical Informatics Association
Honors
1984 Elected member, Alpha Omega Alpha Honor Medical Society
1987 M.D. with Distinction, American University of Beirut
C. Contribution to Science
1. As Co-Director of the Biomedical Informatics Center at MUSC, I had the opportunity to participate on several
statewide and national collaborations. From 2009 to 2011, I co-chaired the REDCap Library Oversight
Committee for reviewing shared data collection instruments within the international REDCap Consortium. In
2012, I led the effort to assess the adoption of research networking tools across the CTSA Consortium. In
late 2012, I was elected to the CTSA Informatics Key Function Operations Committee. More recently I served
on the CTSA Methods and Processes Domain Taskforce workgroup on use of Electronic Health Records for
Recruitment.
a. Obeid JS, McGraw CA, Minor BL, Conde JG, Pawluk R, Lin M, Wang J, Banks SR, Hemphill SA,
Taylor R, Harris PA. Procurement of shared data instruments for Research Electronic Data Capture
(REDCap). J Biomed Inform. 2013 Apr; 46(2): 259-65. PMCID: PMC3600393.
b. Obeid JS, Johnson LM, Stallings S, Eichmann D. Research Networking Systems: The State of
Adoption at Institutions Aiming to Augment Translational Research Infrastructure. J Transl Med
Epidemiol. 2014; 2(2): 1026. PMCID: PMC4610407.
c. Obeid JS, Alexander RW, Gentilin SM, White B, Turley CB, Brady KT, Lenert LA. IRB reliance: An
informatics approach. J Biomed Inform. 2016 Apr; 60: 58-65. PMCID: PMC4837001.
d. Obeid JS, Beskow LM, Rape, M, Gouripeddi R, Black T, Cimino JJ, Embi PJ, Weng C, Marnocha R,
Buse JB. A Survey of Practices for the Use of Electronic Health Records to Support Research
Recruitment. Journal of Clinical Translational Science. In press as of Nov 17, 2017.
2. My early work as a pediatric endocrinologist and director of the Informatics Core in Children’s Clinical
Research Center at WCMC included development of a genotype-phenotype database for a rare endocrine
disorder. The database included novel methods for linking data from individuals in families with genetic
disorder. This work was the foundation of several research projects, which resulted in multiple collaborative
publications that advanced the field of congenital adrenal hyperplasia.
a. Carlson AD, Obeid JS, Kanellopoulou N, Wilson RC, New MI. Congenital adrenal hyperplasia: update
on prenatal diagnosis and treatment. J Steroid Biochem Mol Biol. 1999; 69(1-6):19-29.
b. New MI, Obeid J, Wilson RC, Cabrera MS, Goseco A, Macapagal MC, Marshall I, Nimkarn S, Quintos
JB, Ten S, Ugrasbul F, Vandermolen L, Harbison MD. Profile of the pediatric endocrine clinic at New
York-Presbyterian Hospital, New York Weill Cornell Center. J Clin Endocrinol Metab. 1999; 84(12):
4444-9.
c. New MI, Carlson A, Obeid J, Marshall I, Cabrera MS, Goseco A, Lin-Su K, Putnam AS, Wei JQ,
Wilson RC. Prenatal diagnosis for congenital adrenal hyperplasia in 532 pregnancies. J Clin
Endocrinol Metab. 2001; 86(12): 5651-7.
3. d. Wilson RC, Nimkarn S, Dumic M, Obeid J, Azar MR, Najmabadi H, Saffari F, New MI. Ethnic-specific
distribution of mutations in 716 patients with congenital adrenal hyperplasia owing to 21-hydroxylase
deficiency. Mol Genet Metab. 2007;90(4):414-21. PMCID: PMC1885892.
3. My role as research subject advocate at WCMC provided a strong foundation for later work on several
informatics projects related to informed consent and research permission at MUSC. As the Director of
Academic Informatics in 2009 at MUSC, I participated in a Grand Opportunity (GO) NIH grant for a Research
Permissions Management System (RPMS) at a statewide level. While on that project, I pioneered early work
on the concept of consent ontologies for biobanks, followed by work on electronic consent and leveraging
electronic consent for improving the informed consent process. I was first author on two of the resulting
publications, corresponding author on the Clinical Trials 2013 publication, and a major contributor on other
publications related to the topic of electronic consent and research permissions. The RPMS software was
later released to the open source community.
a. Obeid J, Gabriel D, Sanderson I. A Biomedical Research Permissions Ontology: Cognitive and
Knowledge Representation Considerations. Proc Gov Technol Inf Policies. 2010; 2010: 9-13. PMCID:
PMC4669972.
b. Obeid JS, Gerken K, Madathil KC, Rugg D, Alstad CE, Fryar K, Alexander R, Gramopadhye AK,
Moskowitz J, Sanderson IC. Development of an electronic research permissions management
system to enhance informed consents and capture research authorizations data. AMIA Jt Summits
Transl Sci Proc. 2013; 2013: 189-93. PMCID: PMC3845791.
c. Sanderson IC, Obeid JS, Madathil KC, Gerken K, Fryar K, Rugg D, Alstad CE, Alexander R, Brady
KT, Gramopadhye AK, Moskowitz J. Managing clinical research permissions electronically: A novel
approach to enhancing recruitment and managing consents. Clin Trials. 2013; 10(4): 604-11. PMCID:
PMC4213063.
d. Welch BM, Marshall E, Qanungo S, Aziz A, Laken M, Lenert L, Obeid J. Teleconsent: a novel
approach to obtain informed consent for research. Contemp Clin Trials Commun. 2016; 3: 74-9.
PMCID: PMC5096381.
Complete List of Published Work in MyBibliography:
https://www.ncbi.nlm.nih.gov/myncbi/browse/collection/43275454/?sort=date&direction=descending
D. Research Support
Ongoing
UL1 TR001450 Brady (PI), Obeid (Program Co-Leader) 08/13/15-03/31/20
NIH/NCATS
South Carolina Clinical & Translational Research Institute (SCTR)
SCTR is the catalyst for changing the culture of biomedical research, facilitating sharing of resources and
expertise, and streamlining research-related processes to bring about large-scale change in the clinical and
translational research efforts in South Carolina.
Role: Co-Program Director, Informatics
P20 GM109040 Kautz (PI) 06/02/14-03/31/19
South Carolina Research Center for Recovery from Stroke
The overall objective of this project is to establish a sustainable thematic multidisciplinary translational research
center focused on investigating ways to understand the mechanisms of recovery from stroke in order to
individualize effective therapies and improve outcomes.
Role: Biomedical Informatics Leader, Clinical and Translational Tools and Resources Core
R21 TR002088 Obeid (PI) 08/01/17-07/31/19
NIH/NCATS
Investigating Teleconsent to Improve Clinical Research Access in Remote Communities
The objective of this proposal is to evaluate teleconsent, a novel telemedicine informed consent system, in order
to study the advantages of teleconsent, the barriers to its adoption, and its impact on the informed consent
process. The goal of this work is to improve the adoption of this technology and improve the overall research
process, with reduction in travel burden on research participants and regulatory burden on clinical investigators.
Facilitating enrollment into clinical trials will in turn accelerate the development of new treatments.
Role: PI
4. U54 GM104941 Binder-MacLeod (PI), Kautz (MUSC PI) 09/25/13-05/31/18
NIH/NIGMS
Delaware Clinical and Translational Research Program (DE-CTR)—Subaward to MUSC
The overall goal of the Delaware CTR is to provide a research infrastructure for clinical and translational
research. MUSC is the out-of-state participant in a Delaware consortium (Federal flow-down Subaward).
Role: Co-Investigator
P60 AR062755 Gilkeson (PI) 07/01/12-06/30/18
NIH/NIAMS
MCRC for Rheumatic Diseases in African Americans
The goal of this MCRC is the advancement of knowledge with respect to African Americans who have or who
are at risk of developing systemic lupus erythematosus, systemic sclerosis, and other debilitating rheumatic
diseases.
Role: Co-Investigator, Patient Resources Core
PCORI-CDRN Phase II Rothman (PI) 10/01/15-10/31/18
Mid-South Clinical Data Research Network
The Mid-South Clinical Data Research Network (CDRN), led by Vanderbilt, was founded in 2014 under PCORI
Phase I funding. Our CDRN encompasses three large networks with multiple health systems, ambulatory
practices and hospital across the country. In Phase II, our CDRN will include additional health systems in that
expand our reach across the South, and increase access to research and informatics expertise. Our expanded
CDRN includes a diverse array of academic and community hospitals, primary care and specialty practices, and
community health centers in rural and urban areas, reaching over 9 million patients in the South, plus 14 million
patients nationally.
Role: Core Co-Director at MUSC
UG3 OD023316 Vena, Wapner (MPIs) 09/21/16-08/31/23
NIH Office of the Director
Environmental Contributors to Child Health Originating from National Fetal Growth Study (ECCHO-NFGS)
The proposed study (ECCHO-NFGS) provides an unprecedented opportunity to understand mechanisms of in
utero exposures on risk of childhood outcomes of public health significance. The data are of the highest quality
and are the most detailed serial assessments of fetal development available in any cohort. We will demonstrate
our ability to engage children and standardize our research protocols to address our hypotheses (UG3) and
follow this cohort prospectively for future risk assessment (UH3). The NFGS is the ideal cohort to assess the
prenatal determinants of two key health outcomes, obesity and neuroimpairment, as well as serve a resource
for the ECHO Consortium for all four outcome focus areas.
Role: Co-Investigator
U54 MD010706 Hughes-Halbert, Ethier, Lilly (MPIs) 07/08/16-03/31/21
NIH/NIMHD
Medical University of South Carolina Transdisciplinary Collaborative Center in Precision Medicine and Minority
Men’s Health—Data Integration Core
The overarching goal of the Medical University of South Carolina Transdisciplinary Collaborative Center in
Precision Medicine for Minority Men’s Health is to determine the most effective ways to integrate, interpret and
apply biological, social, psychological and clinical determinants of disease risks and outcomes into more precise
medical strategies to prevent, diagnose and treat chronic health conditions and diseases.
Role: Co-Investigator, Data Integration Core
Completed Research Support
P30 GM103339 Ogretmen (PI) 07/19/2012-06/30/2017
COBRE in Lipidomics and Pathobiology
The strategic focus of Phase III is to complete the development of a stand-alone interdisciplinary Center of
Research Excellence (COBRE) in Lipidomics and Pathobiology at MUSC, building on substantial infrastructure
development and scientific accomplishments during the first two phases. The objective of the Lipidomics Portal
is to provide a one-stop-shop for researchers to request core services, share experiment data, network with their
peers and the CTSA community and publicize discoveries in this field.
5. Role: Co-Investigator, Administrative Core: Lipidomics Portal Leader
UL1 TR000062 Brady, Kathleen (PI) 07/01/09-06/30/15
NIH/NCATS
South Carolina Clinical & Translational Research Institute (SCTR)
This project provides infrastructure to our university in order to advance clinical and translational research. It
has been renewed for another 5-yr project period as UL1 TR001450 (see above).
Role: Associate Program Director, Biomedical Informatics