Andrew T. Reisner M.D. is an attending physician at the Massachusetts General Hospital Department of Emergency Medicine (MGH ED). He is also associate professor of Emergency Medicine at Harvard Medical School.
- Clinical Interests
- Physiological monitoring
- Circulatory shock
- Medical Education
- MD, Harvard Medical School
- Residency, Brigham and Women's Hospital
- Board Certifications
- Emergency Medicine
- Boston: Massachusetts General Hospital
- Insurances Accepted
- Aetna Health Inc.
- AllWays Health (NHP) - ACD
- AllWays Health (NHP) - PBO
- Beech Street
- Blue Cross Blue Shield - Blue Care 65
- Blue Cross Blue Shield - Indemnity
- Blue Cross Blue Shield - Managed Care
- Blue Cross Blue Shield - Partners Plus
- BMC HealthNet Mass Health MCO/ACO
- Cigna (PAL #'s)
- Commonwealth Care Alliance
- Fallon Community HealthCare
- Great-West Healthcare (formally One Health Plan)
- Harvard Pilgrim Health Plan - ACD
- Harvard Pilgrim Health Plan - PBO
- Health Care Value Management (HCVM)
- Humana/Choice Care PPO
- Maine Community Health Options (MCHO)
- Medicare - ACD
- OSW - Connecticut
- OSW - Maine
- OSW - New Hampshire
- OSW - Rhode Island
- OSW - Vermont
- Private Health Care Systems (PHCS)
- Railroad Medicare
- Senior Whole Health
- Tufts Health Plan
- United Healthcare (non-HMO) - ACD
- United Healthcare (non-HMO) - PBO
- Well Sense Pediatrics
Note: This provider may accept more insurance plans than shown; please call the practice to find out if your plan is accepted.
- Patient Age Group
- Adult and Pediatric
- Provider Gender
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 Summary
- 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 (mimic.physionet.org); 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 Partners Healthcare 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.
Automated analysis of the vital signs commonly monitored in patients transported to trauma centers could significantly improve the ability to diagnose life-threatening bleeding before patients arrive at the hospital
A team led by investigators from MGH and the U.S. Army successfully field tested a system that analyzed patient vital signs during emergency transport in a fully automated fashion, finding that such a system could diagnose those with life-threatening bleeding before they arrive at the hospital, potentially saving lives.
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