Zobrazeno 1 - 3
of 3
pro vyhledávání: '"Carleen Penoza"'
Autor:
Brahmajee K. Nallamothu, Benjamin Y. Li, John P. Donnelly, Shengpu Tang, Karandeep Singh, John Z. Ayanian, Fahad Kamran, Carleen Penoza, Jonathon P McBride, Michael W. Sjoding, Jenna Wiens, Thomas S. Valley, Melissa Y. Wei, Erkin Otles, Jie Cao
Publikováno v:
Annals of the American Thoracic Society
Rationale: The Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical decision-making during the coronavirus disease (COVID-19) pandemic. The EDI has not been in
Autor:
Olivia DeTroyer-Cooley, Karandeep Singh, Jeffrey S. McCullough, Andrew Wong, Muhammad Ghous, Marie Phillips, Carleen Penoza, Justin Pestrue, Erkin Otles, Andrew E. Krumm, Judy Konye, John P. Donnelly
Publikováno v:
JAMA Intern Med
Importance The Epic Sepsis Model (ESM), a proprietary sepsis prediction model, is implemented at hundreds of US hospitals. The ESM’s ability to identify patients with sepsis has not been adequately evaluated despite widespread use. Objective To ext
Autor:
Jenna Wiens, Jonathon P McBride, Fahad Kamran, Carleen Penoza, Thomas S. Valley, Michael W. Sjoding, Benjamin Y. Li, Karandeep Singh, John Z. Ayanian, Brahmajee K. Nallamothu, Jie Cao, Erkin Otles, Melissa Y. Wei, John P. Donnelly, Shengpu Tang
IntroductionThe Epic Deterioration Index (EDI) is a proprietary prediction model implemented in over 100 U.S. hospitals that was widely used to support medical decision-making during the COVID-19 pandemic. The EDI has not been independently evaluated
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::5f0233e1981fb0a74aa56f635c7f9433
https://doi.org/10.1101/2020.04.24.20079012
https://doi.org/10.1101/2020.04.24.20079012