Zobrazeno 1 - 10
of 106
pro vyhledávání: '"Theodore J. Gaeta"'
Autor:
Theodore J. Gaeta, Earl Reisdorff, Melissa Barton, Kim M. Feldhaus, Marianne Gausche‐Hill, Deepi Goyal, Kevin Joldersma, Chadd K. Kraus, Felix Ankel
Publikováno v:
Journal of the American College of Emergency Physicians Open, Vol 5, Iss 5, Pp n/a-n/a (2024)
Abstract Objectives The Dunning–Kruger effect (DKE) is a cognitive bias wherein individuals who are unskilled overestimate their abilities, while those who are skilled tend to underestimate their capabilities. The purpose of this investigation is t
Externí odkaz:
https://doaj.org/article/b86d7b157ab94ae391a85f0f3c6d1bba
Autor:
Michelle D. Lall, Theodore J. Gaeta, Arlene S. Chung, Erin Dehon, William Malcolm, Adam Ross, David P. Way, Lori Weichenthal, Nadine T. Himelfarb
Publikováno v:
Western Journal of Emergency Medicine, Vol 22, Iss 5 (2021)
Externí odkaz:
https://doaj.org/article/f25ea5feddf94f3c9238922166f25645
Autor:
Michelle D. Lall, Theodore J. Gaeta, Arlene S. Chung, Sneha A. Chinai, Manish Garg, Abbas Husain, Cara Kanter, Sorabh Khandelwal, Caitlin S. Rublee, Ramin R. Tabatabai, James Kimo Takayesu, Mohammad Zaher, Nadine T. Himelfarb
Publikováno v:
Western Journal of Emergency Medicine, Vol 21, Iss 3 (2020)
Externí odkaz:
https://doaj.org/article/87e9250898854bf7b7641c1a0385df16
Autor:
Theodore J. Gaeta
Publikováno v:
Journal of the American College of Emergency Physicians Open, Vol 1, Iss 5, Pp 1050-1051 (2020)
Externí odkaz:
https://doaj.org/article/ce50b6d8eeb8417b898ddb9860f31c0a
Autor:
Michelle D. Lall, Theodore J. Gaeta, Arlene S. Chung, Sneha A. Chinai, Manish Garg, Abbas Hussain, Cara Kanter, Sorabh Khandelwal, Caitlin S. Rublee, Ramin R. Tabatabai, James Kimo Takayesu, Mohammad Zaher, Nadine T. Himelfarb
Publikováno v:
Western Journal of Emergency Medicine, Vol 20, Iss 2 (2019)
Part One of this two-article series reviews assessment tools to measure burnout and other negative states. Physician well-being goes beyond merely the absence of burnout. Transient episodes of burnout are to be expected. Measuring burnout alone is sh
Externí odkaz:
https://doaj.org/article/90415b68310c4d8ab75bcd145104b04b
Autor:
Michelle D. Lall, Theodore J. Gaeta, Arlene S. Chung, Erin Dehon, William Malcolm, Adam Ross, David P. Way, Lori Weichenthal, Nadine T. Himelfarb
Publikováno v:
Western Journal of Emergency Medicine, Vol 20, Iss 2 (2019)
Physician well-being is a complex and multifactorial issue. A large number of tools have been developed in an attempt to measure the nature, severity, and impact of both burnout and well-being in a range of clinical populations. This two-article seri
Externí odkaz:
https://doaj.org/article/c53ece53b3b3449dadd2f85102a0c8cf
Autor:
Edward T, Ha, Brandon, Ng, Abeer, Afshaq, Eitan, Fleischman, Batool, Hosain, Roohi, Sharma, Theodore J, Gaeta, Manish, Parikh, Stephen J, Peterson, Wilbert S, Aronow
Publikováno v:
Archives of Medical Science – Atherosclerotic Diseases. 7:42-48
IntroductionThe accuracy of detecting myocardial infarction (MI) has greatly improved with the advent of more sensitive assays, and this has led to etiologic subtyping. Distinguishing between type 1 and type 2 non-ST-segment elevation myocardial infa
Autor:
Michael S. Beeson, Rahul Bhat, Joshua S. Broder, Theodore J. Gaeta, Alan Janssen, Erin R. Karl, Bruce M. Lo, Joel Moll, Laura Oh, Viral Patel, Loren Touma, Melissa A. Barton, Julia N. Keehbauch
Publikováno v:
The Journal of Emergency Medicine.
Publikováno v:
Journal of Clinical Ultrasound. 48:184-187
There is a growing interest in using point-of-care transesophageal echocardiography (TEE) during cardiac arrest. TEE is effective at identifying the etiology of sudden cardiovascular collapse and guiding management during the resuscitation. In select
Publikováno v:
Journal of Diagnostic Medical Sonography. 36:121-129
Objective: The objectives were to assess factors associated with a higher likelihood of predicting acute coronary atherothrombosis (ACA) in non-ST-segment elevation myocardial infarction (NSTEMI), evaluate the impact of adding echocardiographic data,