Zobrazeno 1 - 10
of 18
pro vyhledávání: '"Yaniv, Kerem"'
Autor:
Kirstin Aschbacher, PhD, Defne Yilmaz, BA, Yaniv Kerem, MD, Stuart Crawford, PhD, David Benaron, MD, Jiaqi Liu, BS, Meghan Eaton, MSN, PNP-BC, Geoffrey H. Tison, MD, MPH, Jeffrey E. Olgin, MD, Yihan Li, DPhil, Gregory M. Marcus, MD, MAS, FHRS
Publikováno v:
Heart Rhythm O2, Vol 1, Iss 1, Pp 3-9 (2020)
Background: Atrial fibrillation (AF), a common cause of stroke, often is asymptomatic. Smartphones and smartwatches can detect AF using heart rate patterns inferred using photoplethysmography (PPG); however, enhanced accuracy is required to reduce fa
Externí odkaz:
https://doaj.org/article/452ad72332914ee9a602d18c52529104
Autor:
Kelley M, Skeff, Cati G, Brown-Johnson, Steven M, Asch, Dani L, Zionts, Marcy, Winget, Yaniv, Kerem
Publikováno v:
Journal of Healthcare Management. 67:339-352
Occurrences of physician burnout have reached epidemic numbers, and the electronic health record (EHR) is a commonly cited cause of the distress. To enhance current understanding of the relationship between burnout and the EHR, we explored the connec
Autor:
Jeffrey E. Olgin, Geoffrey H. Tison, Meghan Eaton, Jiaqi Liu, Yihan Li, David Benaron, Kirstin Aschbacher, Gregory M. Marcus, Stuart Crawford, Yaniv Kerem, Defne Yilmaz
Publikováno v:
Heart rhythm O2, vol 1, iss 1
Heart Rhythm O2
Heart Rhythm O2
Background Atrial fibrillation (AF), a common cause of stroke, often is asymptomatic. Smartphones and smartwatches can detect AF using heart rate patterns inferred using photoplethysmography (PPG); however, enhanced accuracy is required to reduce fal
Publikováno v:
Journal of Emergencies, Trauma and Shock, Vol 5, Iss 2, Pp 131-134 (2012)
Background: Severity-of-illness scoring systems have primarily been developed for, and validated in, younger trauma patients. Aims: We sought to determine the accuracy of the injury severity score (ISS) and the revised trauma score (RTS) in predictin
Externí odkaz:
https://doaj.org/article/cbc7882f49ea4019a6ea1b72411e2933
Autor:
David Shimabukuro, Jacob Calvert, Ritankar Das, Yaniv Kerem, Melissa Jay, Michael Ries, Christopher Barton, Jana Hoffman, Samson Mataraso, Uli K. Chettipally
Publikováno v:
Journal of Medical Economics. 20:646-651
To compute the financial and mortality impact of InSight, an algorithm-driven biomarker, which forecasts the onset of sepsis with minimal use of electronic health record data.This study compares InSight with existing sepsis screening tools and comput
Autor:
Yaniv Kerem, Christopher Barton, David Shimabukuro, Uli K. Chettipally, Jana Hoffman, Lisa Shieh, Yifan Zhou, Grant S. Fletcher, Jacob Calvert, Ritankar Das, Melissa Jay, Qingqing Mao
Objectives: We validate a machine learning-based sepsis prediction algorithm (InSight) for detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customization to site-spec
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::53ca442ca1f0be97b86db350a1a75291
Autor:
Christopher Barton, Melissa Jay, David Shimabukuro, Grant S. Fletcher, Lisa Shieh, Yifan Zhou, Ritankar Das, Jacob Calvert, Yaniv Kerem, Uli K. Chettipally, Qingqing Mao, Jana Hoffman
Publikováno v:
BMJ Open
Objectives We validate a machine learning-based sepsis-prediction algorithm (InSight) for the detection and prediction of three sepsis-related gold standards, using only six vital signs. We evaluate robustness to missing data, customisation to site-s
Autor:
Yaniv Kerem, Christopher Barton, Grant S. Fletcher, Jana Hoffman, Qingqing Mao, Ritankar Das, Melissa Jay, Uli K. Chettipally, Thomas Desautels, Jacob Calvert
Publikováno v:
Biomedical Informatics Insights
Biomedical Informatics Insights, Vol 9 (2017)
Biomedical Informatics Insights, Vol 9 (2017)
Algorithm–based clinical decision support (CDS) systems associate patient-derived health data with outcomes of interest, such as in-hospital mortality. However, the quality of such associations often depends on the availability of site-specific tra
Publikováno v:
Western Journal of Emergency Medicine, Vol 14, Iss 1, Pp 11-15 (2013)
Tekwani, Karis L; Kerem, Yaniv; Mistry, Chintan D; Sayger, Brian M; & Kulstad, Erik B. (2013). Emergency Department Crowding is Associated with Reduced Satisfaction Scores in Patients Discharged from the Emergency Department. Western Journal of Emergency Medicine, 14(1). doi: 10.5811/westjem.2011.11.11456. Retrieved from: http://www.escholarship.org/uc/item/5ks6092b
Western Journal of Emergency Medicine
Tekwani, Karis L; Kerem, Yaniv; Mistry, Chintan D; Sayger, Brian M; & Kulstad, Erik B. (2013). Emergency Department Crowding is Associated with Reduced Satisfaction Scores in Patients Discharged from the Emergency Department. Western Journal of Emergency Medicine, 14(1). doi: 10.5811/westjem.2011.11.11456. Retrieved from: http://www.escholarship.org/uc/item/5ks6092b
Western Journal of Emergency Medicine
Introduction Emergency department (ED) crowding has been shown to negatively impact patient outcomes. Few studies have addressed the effect of ED crowding on patient satisfaction. Our objective was to evaluate the impact of ED crowding on patient sat
Autor:
Uli K. Chettipally, Melissa Jay, Lisa Shieh, Thomas Desautels, Feldman, David J. Wales, David Shimabukuro, Jana Hoffman, Jacob Calvert, Yaniv Kerem, Ritankar Das, Christopher Barton
Publikováno v:
JMIR Medical Informatics
Background: Sepsis is one of the leading causes of mortality in hospitalized patients. Despite this fact, a reliable means of predicting sepsis onset remains elusive. Early and accurate sepsis onset predictions could allow more aggressive and targete