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Using Data to Improve Clinical Patient Outcomes

David Kaelber
David Kaelber, MD, PhD, MPH, FAAP, FACP
Chief Medical Informatics Officer and Vice-President of Health Informatics
Director, Center for Health Informatics and Patient Engagement
Director, Center for Clinical Informatics Research and Education
The MetroHealth System, Cleveland, OH

David Kaelber, MD, PhD, MPH, FAAP, FACP, is a practicing internist and pediatrician and the Chief Medical Informatics Officer of the MetroHealth System, the public healthcare system affiliated with Case Western Reserve University, and the Director of the Center for Clinical Informatics Research and Education.  He received his BSE in biomedical and electrical engineering from Duke University, and his MD, MS, and PhD in biomedical engineering from Case Western Reserve University. Following his chief residency, Dr. Kaelber was a National Library of Medicine Medical Informatics Fellow at the Center for Information Technology Leadership and Partners Healthcare while completing his MPH at Harvard School of Public Health. He was in the first group of physician informaticists to become board certified in clinical informatics in 2013.

Christopher A. Longhurst
Christopher A. Longhurst, MD, MS
Chief Information Officer, UC San Diego Health Sciences
Clinical Professor, Biomedical Informatics and Pediatrics, UC San Diego School of Medicine, San Diego, CA

As chief information officer for UC San Diego Health, Christopher Longhurst MD, MS, leads the creation and execution of a comprehensive information strategy to meet future needs of UC San Diego Health along with creating standards, architectures and policies for information technologies across UC San Diego and the UC system. His area of responsibility includes electronic health records and the MyUCSDChart system. A board-certified pediatrician and clinical informaticist, Dr. Longhurst is a key faculty member in the Department of Biomedical Informatics in the UC San Diego School of Medicine. Dr. Longhurst holds a BS in molecular biology from UC San Diego and an MS in medical informatics and MD from UC Davis. He completed his residency at Stanford Medical School. Dr. Longhurst is a fellow in the prestigious American College of Medical Informatics.

Nicholas O. Meo
Nicholas O. Meo, M.D.
Physician Lead for Quality and Safety, Hospital and Specialty Medicine, VA Puget Sound
GME Director of Quality and Safety, Graduate Medical Education, University of Washington, Seattle, WA

Nicholas Meo, MD, is a Clinical Instructor of General Internal Medicine and Co-Director of Quality and Safety in Graduate Medical Education in the Department of Medicine at University of Washington and the Physician Lead for Quality, Safety and Value and chief resident at VA Puget Sound Health Care System. He received his MD from Mount Sinai School of Medicine in, La Jolla CA, graduating with distinction in both Research and Medical Education. He completed his residency at University of Washington. Dr. Meo coordinates quality improvement and patient safety initiatives that include the incorporation of patient data within the Hospital and Specialty Medicine service line for the VA Puget Sound.


Sean Mooney
Sean Mooney, Ph.D.
Chief Research Information Officer, UW Medicine
Professor, Department of Biomedical Informatics and Medical Education
University of Washington, Seattle, WA

Sean Mooney, Ph.D. is the Chief Research Information Officer (CRIO) of UW Medicine and a Professor in the Department of Biomedical Informatics and Medical Education at the University of Washington. As CRIO, he leads the growing Research Information Technology team and provides strategic vision to the development of new platforms that leverage large clinical datasets. He received his B.S. with Distinction in Biochemistry and Molecular Biology from the University of Wisconsin at Madison and Ph.D. from University of California in San Francisco. He was awarded an American Cancer Society John Peter Hoffman Fellowship at Stanford University. Dr. Mooney’s work is funded by the National Library of Medicine and other NIH Institutes, mostly in the area of data science and translational medicine.