Gurvaneet Randhawa, MD, MPH, is currently working in the Center for Outcomes and Evidence (COE) at the Agency for Healthcare Research and Quality (AHRQ) in the field of evidence-based medicine and comparative effectiveness. He is the program officer on all AHRQ grants that will build and enhance clinical electronic infrastructure to collect prospective, patient-centered outcomes data for comparative effectiveness research (CER).  These grants are part of four programs: scalable distributed research networks, enhanced registries for quality improvement and CER, PROSPECT, and Electronic Data Methods forum. He also provides scientific direction to clinical genomics and personalized medicine projects conducted by different AHRQ programs. These include development of a new clinical decision support tool for BRCA testing in primary care practice and several EPC evidence reports for different end users, including the EGAPP working group. He is also interested in health IT applications that intersect with genomics and clinical practice. He is guiding the DARTNet project focused on distributed research in ambulatory care. He is a past director of the U.S. Preventive Services Task Force (USPSTF) program. Additionally, he is interested in research to improve electronic clinical infrastructure in order to clarify the added value of new diagnostics and therapeutics. Prior to joining AHRQ, Dr. Randhawa completed his Preventive Medicine residency at Johns Hopkins University and his Internal Medicine internship at University of Pennsylvania. Dr. Randhawa also has trained for 9 years in molecular research in two clinical areas, genomic applications in tuberculosis control and in cancer molecular genetics, at two different institutions: Johns Hopkins at Baltimore, Maryland, and M.D. Anderson Cancer Center at Houston, Texas. [Click here for genomics activities Dr Randhawa is involved with at AHRQ.]


Lucila Ohno-Machado, MD, PhD, is a Professor of Medicine and founding chief of the Division of Biomedical Informatics at UCSD. She is the Principal Investigator of SCANNER and has experience leading multidisciplinary projects at the intersections of biomedicine and quantitative sciences. Her research group has transitioned from Harvard Medical School to UCSD to continue their work in biomedical pattern recognition from large data sets, statistical learning, and privacy technology. The group has also accepted a critical role at UCSD Medical Center, including development of tools for quality assessment and the implementation of a clinical data repository for research, and the leadership of the Data Access Task Force, which establishes the policies and mechanisms for researchers to access UCSD data.


Hyeoneui Kim, RN, MPH, PhD, is an Assistant Professor of Biomedical Informatics in the UCSD School of Medicine. Her research interests include standardized concept representation, the impact of information technology on quality of nursing care, and nursing decision-support systems.

Grace M. Kuo, PharmD, MPH, is an Associate Professor of Clinical Pharmacy and Associate Dean for Academic Clinical Affairs in the UCSD Skaggs School of Pharmacy and Pharmaceutical Sciences. She is the Director for the Pharmacogenomics Education Program (PharmGenEd) and San Diego Pharmacist Resource and Research Network (SDPharmNet). Her research focuses on medication safety, practice-based health services research, and chronic disease management.

 Lahey Hospital and Medical Center

Frederic Resnic, MD, MSc, is the Chairman, Department of Cardiovascular Medicine at Lahey Hospital & Medical Center. He leads an NIH- and FDA-funded research program exploring the automated surveillance of medical device safety across a network of Massachusetts Hospitals. His research interests focus on the development of informatics tools to monitor medical device and procedural safety. He will use his expertise to carry out several key components of the SCANNER project, including coordinating the design and implementation of the distributed network as well as leading the effort to perform prospective comparative effectiveness for new medications versus standard of care.


Allen Fremont, MD, PhD is a Natural Scientist and Sociologist based at RAND’s Santa Monica office with clinical academic appointments at UCLA and the West Los Angeles Veterans Affairs Medical Center.  He has more than two decades of experience as a health services and policy researcher and more than a decade of experience working on multi-stakeholder, multi-disciplinary translational research projects focused on reducing gaps in care and outcomes.  Dr. Fremont is Co-Director of the California Comparative Effectiveness and Outcomes Improvement (CEOI). His work in California and working relationships with the key stakeholders throughout the state will ultimately benefit from successful implementation of the SCANNER network.


Daniella Meeker, PhD is an Associate Information Scientist at RAND Corporation.  She has a background in engineering and health services. As an engineer she has architected and implemented several systems that apply near-real-time data processing and analysis, merging large databases of biomedical and clinical data, and has created networked applications for research collaboration purposes.  Dr. Meeker’s analytic background includes econometric analyses, machine learning, and semantic analysis.  Her expertise will play an important role in the SCANNER project for developing research process models, SCANNER analytic services, and the data harmonization methods necessary for scalable comparative effectiveness research.


Katherine Kim, MPH, MBA is a Professor in Residence of Biology and the Health Equity Institute for Research, Practice, and Policy at San Francisco State University.  She has spent over 20 years leading teams to innovate and excel in healthcare and technology enterprises such as Brown & Toland Medical Group, UCSF Medical Center, Brigham & Women's Hospital (Partners Health System), Alta Bates Medical Center (Sutter Health), and Oracle.  She has a demonstrated record of successful and productive projects in an area of high relevance for electronic health records and health information exchange and will use her expertise and experience to guide the development of the SCANNER electronic health infrastructure from the patients’ and institutional users’ perspective.


Laura Mamo, PhD is a Health Equity Associate Professor of Health Education at San Francisco State University.  She is a sociologist with over fifteen years experience researching and teaching in the field of science, technology, and medicine studies.  She has conducted research on pharmaceutical drugs and devices, assisted reproductive technologies and health care delivery systems, genetic testing and patient perspectives, and other biotechnologies with an emphasis on cultural meaning and everyday use.  She is the author of Queering Reproduction: Achieving Pregnancy in the Age of Technoscience (Duke University Press, 2007); co-editor of Biomedicalization: Technoscience, Health, and Illness in the U.S. (Duke University Press, 2010); and  co-author of Living Green: Communities That Sustain (New Society Press, 2009).  She will apply her expertise conducting qualitative research with users of technologies to guide the development of the SCANNER electronic health infrastructure.



Dr. Carl Kesselman is Professor of Industrial and Systems Engineering and a Fellow in the Information Sciences Institute in the Viterbi School of Engineering at the University of Southern California. He is the Director of the Informatics Division at ISI. He received a Ph.D. in Computer Science from the University of California, Los Angeles, a Master of Science degree in Electrical Engineering from the University of Southern California, and Bachelors degrees in Electrical Engineering and Computer Science from the University at Buffalo. Dr. Kesselman has recieved many honors for his work in Grid based distributed computing platforms including the 1997 Global Information Infrastructure Next Generation Internet award, the 2002 R&D 100 award, the 2002 R&D Editors choice award, the Federal Laboratory Consortium (FLC) Award for Excellence in Technology Transfer and the 2002 Ada Lovelace Medal from the British Computing Society for significant contributions to information technology. In 2006 Dr. Kesselman received an Honorary Doctorate from the University of Amsterdam. In 2007, he recieved the Internet2 Idea award, and the ComputerWorld Horizon Award.



Michael Matheny, MD, MS, MPH is an Assistant Professor of Biomedical Informatics at Vanderbilt University Medical Center.  He has a clinical background in Internal Medicine and a research background in both Clinical Informatics and public health.  Dr. Matheny will lead the team primarily responsible for the statistical module development and analysis of the retrospective analysis portion of the SCANNER project.  He will also coordinate site data collection and synchronization with the other participating centers for the development of a secure, scalable multi-center network to support observational cohort data analysis for medical device and medication safety surveillance.