The BerbeeWalsh Department of Emergency Medicine research program exists:
“To conduct innovative clinical and translational emergency care research to advance the health of the people of Wisconsin and beyond.”
To achieve this mission, our faculty and staff members develop their original research ideas, obtain funding, and publish high impact papers. For more detailed information, please see our “Research Programs” pages.
Our faculty and staff are also dedicated to collaborating with academic and industry partners. If you are interested in conducting research in the emergency department, either as an academic or industry partner, please refer to the “Conducting Research in the ED” guidelines, or email Dr. Manish N. Shah, Vice Chair of Research at email@example.com.
Recent Research News/Announcements
Department Ranked 9th in Nation for 2018 NIH Research Funding
The 2018 Blue Ridge Rankings are out, and DEM is ranked #9 in national NIH funding for Emergency Medicine, doubling its funding from 2017. An outstanding accomplish from being unranked in 2014!
Congratulations to Manish Shah, MD MPH, ranked #5 in the country, and to Michael Repplinger, MD PhD, ranked #79 – both achieving higher rankings since last year.
Our ranking reflects the dedication and efforts of the faculty and staff of the Department of Emergency Medicine and the staff in the Emergency Department. Every person has contributed, whether through developing, writing, and administering the grants, recruiting research subjects, participating in research studies, answering surveys, analyzing the data, writing papers, or using our findings to improve the care we deliver to our patients and communities. We could never have made it without this team effort.
There are many more research studies to come. We will keep striving until we are ranked #1.
8/30/19: Drs. Kuttab & Ward published in Critical Care Medicine
'Evaluation and Predictors of Fluid Resuscitation in Patients With Severe Sepsis and Septic Shock'
Critical Care Medicine: August 7, 2019
8/1/19: New collaborative paper on led by Dr. Brian Patterson published in BMC Medical Informatics and Decision Making
"Development and validation of a pragmatic natural language processing approach to identifying falls in older adults in the emergency department."
Brian W. Patterson, Gwen C. Jacobsohn, Manish N. Shah, Yiqiang Song, Apoorva Maru, Arjun K. Venkatesh, Monica Zhong, Katherine Taylor, Azita G. Hamedani & Eneida A. Mendonça
7/22/19: Dr. Shah presents at AAIC19 & mentioned in nearly 100 media outlets
Dr. Shah was presented research on 'Telemedicine for the Dementia Population' at the 2019 Alzheimer's Association International Conference (AAIC) in Los Angeles, CA. He was also featured in subsequent interviews with NeurologyLive®, MD Magazine®, and mentioned in nearly 100 other media outlets.
6/27/19: Multidisciplinary team of researchers published in Medical Care
"Training and Interpreting Machine Learning Algorithms to Evaluate Fall Risk After ED Visits"
Manish Shah, MD MPH receives prestigious Gerson-Anders Award from the Academy of Geriatric Emergency Medicine
Manish Shah, MD MPH receives prestigious Gerson-Sanders Award from the Academy of Geriatric Emergency Medicine (AGEM) for his significant contributions to improving geriatric emergency care. Dr. Shah's persistence and continuous championing of geriatric patient care in the ED setting through education and research has been committed and longstanding. He has developed an independently-funded research program dedicated to improving acute illness care for older adults, with a specific focus on developing and testing innovative models of care for acutely ill older adults. His goal is to prevent older adults from needing emergency department care or to develop substitutes for emergency department care.
Congratulations, Dr. Shah!
Dr. Patterson featured on AGEM's Author Spotlight
Brian Patterson, MD MPH named latest Author Spotlight member by the Academy of Geriatric Emergency Medicine (AGEM) for his article on fall risk screening titled "Using the Hendrich II Inpatient Fall Risk Screen to Predict Outpatient Falls After Emergency Department Visits."