Jason Shapiro, MD Email Jason Shapiro
- PROFESSOR | Emergency Medicine
- Emergency Medicine
- Hospital Affiliations
- Mount Sinai Brooklyn
- The Mount Sinai Hospital
- Mount Sinai St. Luke's and Mount Sinai West
- Mount Sinai Beth Israel
Dr. Jason Shapiro is Professor and Chief of the Division of Informatics in the Department of Emergency Medicine, and Program Co-director of the Masters of Science in Biomedical Informatics in the Graduate School of Biomedical Sciences at the Icahn School of Medicine at Mount Sinai.
Dr. Shapiro received is bachelors in English from the University of Iowa, completed the post-bac premedical program at Columbia University’s School of General Studies, received his MD from Columbia University’s College of Physicians and Surgeons, completed residency in emergency medicine at Mount Sinai including a year as chief resident, and then completed a master’s degree and a postdoctoral fellowship in biomedical informatics at Columbia University’s Graduate School of Arts and Sciences.
Dr. Shapiro's research focuses on evaluating health information technology, with a specific focus on health information exchange, investigating its impact on quality measurement, care coordination, resource utilization, health care costs, and provider satisfaction. Other areas of active interest include ED information system implementation evaluation, terminology services, workflow integration strategies for health IT, public health, and biosurveillance.
Dr. Shapiro has worked with Healthix (formerly NYCLIX), a health information exchange based in the downstate region of New York, since its inception in 2005, and has served as the Chair of the Healthix’s Clinical and Evaluation Committee and its Research Committee.
Dr. Shapiro has had continuous federal grant support to pursue informatics research since 2004, having completed biomedical informatics fellowship funded by a T15 from the National Library of Medicine (NLM) (2004-2006) and Pfizer (2006-2007), an NLM-funded K99/R00 as principle investigator (PI) entitled “Evaluation of the Impact of Health Information Exchange on Emergency Medicine” (2007-2012). He is currently funded by an Agency for Health Research and Quality (AHRQ) R01 as PI (2012-2017) entitled "Advancing Quality Measurement and Care Improvement with Health Information Exchange" and an NLM-funded R01 as PI (2015-2018) entitled “Terminology Services to Reduce Avoidable CT Imaging”.
Recent/current projects include developing a regionally-based measure for early (72 hour) ED returns, an important quality screening measure widely used in emergency medicine; building a notification system to identify and enroll frequent ED users in case management to improve their access to care and reduce ED returns; mapping proprietary CT codes across 40 sites in the Healthix to the newly combined LOINC/RSNA standard terminology and measuring reliability and content-dependent coverage, and developing a simple anatomic ontology for proximity or similarity (SANOPS) as the basis for a future HIE-based duplicate CT alerting system.
Dr. Shapiro is a member of the American Medical Informatics Association, a Fellow of the American College of Emergency Physicians, and Chair of the ACEP Informatics Section. He also served as a standing member of AHRQ's Health Care Research Training Study Section and a Fellow of the New York Academy of Medicine.
Regional / National Committees / Advisory Boards:
Chair, New York Clinical Information Exchange (NYCLIX) Clinical Advisory Committee
Chair, NYCLIX Evaluation Committee
New York State DOH Statewide Collaboration Process, Public Health Workgroup
All Hazards Medical Emergency Network (AHMEN) Advisory Group
SAEM Informatics Interest Group
ACEP Informatics Section
AHRQ Health Care Research Training Study Section
American Board of Emergency Medicine
- Cardiopulmonary Resuscitation For Adults
- Intubation And Mechanical Ventilation
MD, Columbia University College of Physicians & Surgeons
MA, Columbia University Department of Biomedical Informatics
Residency, Internal Medicine
UCSF Medical Center
Residency, Emergency Medicine
Mount Sinai Hospital
Dr. Shapiro has had continuous federal grant support to pursue informatics research since 2004, having completed a T15 biomedical informatics fellowship funded by the National Library of Medicine (NLM) (2004-2007), an NLM-funded K99/R00 as principle investigator (PI) entitled “Evaluation of the Impact of Health Information Exchange on Emergency Medicine” (2007-2012), and is currently funded by an Agency for Health Research and Quality (AHRQ) R01 as PI (2012-2017) entitled "Advancing Quality Measurement and Care Improvement with Health Information Exchange" and an NLM-funded R01 as PI (2015-2018) entitled “Terminology Services to Reduce Avoidable CT Imaging”.
Recent/current projects include developing a regionally-based measure for early ED returns, an important quality measure widely used in emergency medicine; building a notification system to identify and enroll frequent ED users in case management to improve their access to care and reduce ED recidivism; mapping proprietary CT codes across 40 sites in the Healthix to the newly combined LOINC/RadLex standardized terminology and measuring reliability and content-dependent coverage, and developing a semantic anatomical ontology as the basis for a future HIE-based duplicate CT alerting system
Garg N, Kuperman GH, Onyile A, Lowry T, Genes N, DiMaggio C, Richardson L, Husk G, Shapiro JS. Validating health information exchange (HIE) Data for quality measurement across four hospitals. AMIA Anu Symp Proc 2014;.
Getteridge DL, Genes N, Hwang U, Kaplan B, Shapiro JS. The GEDI Investigators: Enhancing a geriatric Emergency Department care coordination intervention using automated health information exchange-based clinical event notifications.. eGEMS (Generating Evidence & Methods to improve patient outcomes) 2014 August; 2(3).
Shapiro JS, Johnson S, Angiolillo J, Fleischmann W, Onyile A, Berg L, Kuperman J. Health information exchange improves identification of frequent emergency department users. Health Aff 2013 Dec; 32(12): 2193-8.
Beitia AO, Kuperman G, Delman BN, Shapiro JS. Assessing the performance of LOINC and RadLEx for coverage of CT scans across three sites in a health information exchange. AMIA Annu Symp Proc 2013;: 94-102.
Onyile A, Vaidya R, Shapiro JS. Geographical distribution of patients visiting a health information exchange in New York City. J Am Med Inform Assoc 2013; 20(el)(e125-30).
Grinspan ZM, Abramson EL, Banerjee S, Kern L, Kaushal R, Shapiro JS. Event Detection: A Clinical Notification Service on a Health Information Exchange Platform. AMIA Annu Symp Proc 2012 2012;.
Kern LM, Wilcox A, Shapiro J, Dhopeshwarkar RV, Kaushal R. Which components of health information technology will drive financial value?. The American journal of managed care 2012 Aug; 18(8).
Shapiro JS, Mostashari F, Hripcsak G, Soulakis N, Kuperman G. Using health information exchange to improve public health. American journal of public health 2011 Apr; 101(4).
Shapiro JS, Genes N, Kuperman G, Chason K, Richardson LD. Health information exchange, biosurveillance efforts, and emergency department crowding during the spring 2009 H1N1 outbreak in New York City. Annals of emergency medicine 2010 Mar; 55(3).
Shapiro JS, Kannry J, Kushniruk AW, Kuperman G. Emergency physicians' perceptions of health information exchange. Journal of the American Medical Informatics Association : JAMIA 2007; 14(6): 700-705.
Shapiro JS, Bakken S, Hyun S, Melton GB, Schlegel C, Johnson SB. Document ontology: supporting narrative documents in electronic health records. AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium 2005;.
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Dr.Shapiro did not report having any of the following types of financial relationships with industry during 2017 and/or 2018: consulting, scientific advisory board, industry-sponsored lectures, service on Board of Directors, participation on industry-sponsored committees, equity ownership valued at greater than 5% of a publicly traded company or any value in a privately held company. Please note that this information may differ from information posted on corporate sites due to timing or classification differences.
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