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Biomedical Informatics Visiting Students & Scholars 

charles jaffe

Charles Jaffe, M.D., Ph.D., FACMI, FACP

Visiting Scholar
BRFII
cjaffe@hl7.org

Current Status

Health Level Seven, Inc. Chief Executive Officer

Education

Duke University, Durham, NC, Ph.D. 1972
Duke University, Durham, NC, M.D., 1971
Johns Hopkins University, Baltimore, MD, B.A., 1967

Teaching Experience

Professor, Department of Engineering, Penn State University, Great Valley, 2004-07
Assistant Clinical Professor, Department of Medicine, UCSD, 1987-96

larissa neumann

Larisssa Neumann, M.D.

Research Scholar
BRFII
lneumann@ucsd.edu 

Current Status

Research Scholar - Division of Biomedical Informatics, UC San Diego
Medical Doctor - Department of Anesthesiology at the Hospital of the Ludwig-Maximilians-University (LMU) Munich, Germany

Education

2016 – today: Department of Anesthesiology, Hospital of the Ludwig-Maximilians-University (LMU) Munich, Germany: Anesthesiologist with expertise in operative anesthesiology, postoperative pain therapy, shock/trauma room, ambulatory patient care and intensive care unit

2014 – 2015: Department of Anesthesiology, Intensive Care Medicine and Pain Therapy,University Hospital Frankfurt (Frankfurt am Main), Germany: Anesthesiologist with expertise in operative anesthesiology, postoperative pain therapy, shock/trauma room and ambulatory patient care

2014: Medical Doctor, LMU Munich, Germany with a medical elective in Switzerland (St. Gallen), Canada (Montreal) and Germany (Munich, Hausham)

Teaching Experience

2018 - today: Lecturer of Evidence-Based Medicine; Lecturer for Anesthesiology and Emergency Medicine; Lecturer for a seminar in Anesthesiology and Intensive Care Medicine

2014 - 2015: Lecturer for Anesthesiology at the simulation center (FRANS, Frankfurt)

Research Interests

  • Biomedical Informatics, Artificial Intelligence in health care, Anesthesiology & Intensive Care Medicine
    • Establishment of a prediction algorithm for intraoperative blood loss in lung transplant patients based on preoperative risk factors
    • Algorithm-based evaluation of the optimal hemoglobin value for packed red blood cell transfusions in critically ill patients