Benjamin H. Slovis
Icahn School of Medicine at Mount Sinai
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Featured researches published by Benjamin H. Slovis.
Journal of the American Medical Informatics Association | 2017
Benjamin H. Slovis; Tina Lowry; Bradley N. Delman; Anton O. Beitia; Gilad J. Kuperman; Charles J. DiMaggio; Jason S. Shapiro
Objective: The purpose of this study was to measure the number of repeat computed tomography (CT) scans performed across an established health information exchange (HIE) in New York City. The long-term objective is to build an HIE-based duplicate CT alerting system to reduce potentially avoidable duplicate CTs. Methods: This retrospective cohort analysis was based on HIE CT study records performed between March 2009 and July 2012. The number of CTs performed, the total number of patients receiving CTs, and the hospital locations where CTs were performed for each unique patient were calculated. Using a previously described process established by one of the authors, hospital-specific proprietary CT codes were mapped to the Logical Observation Identifiers Names and Codes (LOINC®) standard terminology for inter-site comparison. The number of locations where there was a repeated CT performed with the same LOINC code was then calculated for each unique patient. Results: There were 717 231 CTs performed on 349 321 patients. Of these patients, 339 821 had all of their imaging studies performed at a single location, accounting for 668 938 CTs. Of these, 9500 patients had 48 293 CTs performed at more than one location. Of these, 6284 patients had 24 978 CTs with the same LOINC code performed at multiple locations. The median time between studies with the same LOINC code was 232 days (range of 0 to 1227); however, 1327 were performed within 7 days and 5000 within 30 days. Conclusions: A small proportion (3%) of our cohort had CTs performed at more than one location, however this represents a large number of scans (48 293). A noteworthy portion of these CTs (51.7%) shared the same LOINC code and may represent potentially avoidable studies, especially those done within a short time frame. This represents an addressable issue, and future HIE-based alerts could be utilized to reduce potentially avoidable CT scans.
Western Journal of Emergency Medicine | 2016
Benjamin H. Schnapp; Benjamin H. Slovis; Anar D. Shah; Abra Fant; Michael A. Gisondi; Kaushal Shah; Christie A. Lech
Introduction Several studies have shown that workplace violence in the emergency department (ED) is common. Residents may be among the most vulnerable staff, as they have the least experience with these volatile encounters. The goal for this study was to quantify and describe acts of violence against emergency medicine (EM) residents by patients and visitors and to identify perceived barriers to safety. Methods This cross-sectional survey study queried EM residents at multiple New York City hospitals. The primary outcome was the incidence of violence experienced by residents while working in the ED. The secondary outcomes were the subtypes of violence experienced by residents, as well as the perceived barriers to safety while at work. Results A majority of residents (66%, 78/119) reported experiencing at least one act of physical violence during an ED shift. Nearly all residents (97%, 115/119) experienced verbal harassment, 78% (93/119) had experienced verbal threats, and 52% (62/119) reported sexual harassment. Almost a quarter of residents felt safe “Occasionally,” “Seldom” or “Never” while at work. Patient-based factors most commonly cited as contributory to violence included substance use and psychiatric disease. Conclusion Self-reported violence against EM residents appears to be a significant problem. Incidence of violence and patient risk factors are similar to what has been found previously for other ED staff. Understanding the prevalence of workplace violence as well as the related systems, environmental, and patient-based factors is essential for future prevention efforts.
Journal of the American Medical Informatics Association | 2017
Benjamin H. Slovis; Thomas Nahass; Hojjat Salmasian; Gilad J. Kuperman; David K. Vawdrey
Objective To systematically review the literature pertaining to asynchronous automated electronic notifications of laboratory results to clinicians. Methods PubMed, Web of Science, and the Cochrane Collaboration were queried for studies pertaining to automated electronic notifications of laboratory results. A title review was performed on the primary results, with a further abstract review and full review to produce the final set of included articles. Results The full review included 34 articles, representing 19 institutions. Of these, 19 reported implementation and design of systems, 11 reported quasi-experimental studies, 3 reported a randomized controlled trial, and 1 was a meta-analysis. Twenty-seven articles included alerts of critical results, while 5 focused on urgent notifications and 2 on elective notifications. There was considerable variability in clinical setting, system implementation, and results presented. Conclusion Several asynchronous automated electronic notification systems for laboratory results have been evaluated, most from >10 years ago. Further research on the effect of notifications on clinicians as well as the use of modern electronic health records and new methods of notification is warranted to determine their effects on workflow and clinical outcomes.
ieee international conference on healthcare informatics | 2016
Thomas Nahass; Benjamin H. Slovis; Hojjat Salmasian; Gilad J. Kuperman; David K. Vawdrey
Critical value reporting is crucial to patient care in the hospital setting, but some normal or non-critical values are valuable to clinical decision making as well. We designed a system that allows providers to subscribe to electronic notifications of laboratory results to improve workflow and potentially patient care.
Emergency Radiology | 2013
Kaushal Shah; Benjamin H. Slovis; Daniel Runde; Brandon J. Godbout; David Newman; Jarone Lee
Academic Emergency Medicine | 2015
Marc A. Probst; Peter S. Dayan; Ali S. Raja; Benjamin H. Slovis; Kabir Yadav; Samuel H. Lam; Jason S. Shapiro; Coreen Farris; Charlene Irvin Babcock; Richard T. Griffey; Thomas E. Robey; Emily M. Fortin; Jamlik O. Johnson; Suzanne T. Chong; Moira Davenport; Daniel W. Grigat; Eddy L. Lang
Emergency Radiology | 2016
Benjamin H. Slovis; Kaushal Shah; D. Dante Yeh; Raghu Seethala; Haytham M.A. Kaafarani; Matthias Eikermann; Ali S. Raja; Jarone Lee
Annals of Emergency Medicine | 2017
Benjamin H. Slovis; A.J. Averitt; D.K. Vawdrey; A. Perotte
Annals of Emergency Medicine | 2016
Benjamin H. Slovis; A.J. Averitt; Jeffrey Glassberg; Tina Lowry; G. Kuperman; Jason S. Shapiro
AMIA | 2016
Anton O. Beitia; Tina Lowry; Daniel J. Vreeman; Bradley N. Delman; Benjamin H. Slovis; George T. Loo; Frederick L. Thum; Jason S. Shapiro