Andrew Reisner

Dr. Andrew T. Reisner, attending physician in the MGH Emergency Department (ED), received his undergraduate engineering degree at Stanford University prior to receiving his M.D. from Harvard Medical School. He completed his residency with the Harvard Affiliated Emergency Medicine Residency Program. He completed a research fellowship with Prof. Roger Mark at the Massachusetts Institute of Technology (MIT) Laboratory for Computational Physiology (LCP) and was a co-investigator during the initial development and public release of MIMIC-2, which is one of the world’s largest publically-available ICU research databases.

Dr. Reisner first joined the MGH ED as a staff attending in 2001. Between 2002 and 2012, Dr. Reisner also held an appointment as a research scientist with MIT. In addition to working with the LCP, Dr. Reisner worked with Prof. Harry Asada at the d’Arbeloff Lab, developing and investigating wearable medical sensor technology. Many of the principles identified by that MIT research team have contributed to today’s widely-available wearable sensor technology.

Starting in 2003, Dr. Reisner has held civilian appointments with the United States Army Medical Research and Materiel Command, working for Dr. Jaques Reifman and the Biotechnology High-Performance Computing Software Applications Institute. This collaboration led to the invention of the APPRAISE system which applies real-time pattern recognition algorithms to provide trauma patient decision-support. Currently, Dr. Reisner is an associate professor of at Harvard Medical School and the director of the MGH ED's Clinical Decision Technology Laboratory.

Research

Dr. Reisner is the author or co-author of over 80 peer-reviewed articles and conference proceedings largely focused on novel healthcare technologies. One major thrust has been monitoring technologies for vigilant identification of patients with imminent clinical deterioration. A second thrust has been the design of information system interfaces to optimize clinician efficiency and efficacy. Dr. Reisner's long-term research collaborations have involved the United States Army Biotechnology High Performance Computing Software Applications Institute (www.bhsai.org); MIT's Laboratory for Computational Physiology (lcp.mit.edu) and their MIMIC II clinical database (https://archive.physionet.org/mimic2/); and the wearable sensors group of MITs d'Arbeloff Laboratory (darbelofflab.mit.edu). Dr. Reisner has been the PI or co-PI on projects funded by the USAMRMC, the United States National Institute of Health, the United States National Science Foundation, the Center for the Integration of Medicine and Innovative Technology, and the Mass General Brigham Research Council. Dr. Reisner has served as an ad hoc reviewer for numerous leading medical journals, and on grant review panels including the European Space Agency and European Science Foundation.

Clinical Interests:

• Circulatory shock
• Informatics
• Physiological monitoring