Zobrazeno 1 - 10
of 24
pro vyhledávání: '"Dustin McEvoy"'
Autor:
Sonu Subudhi, Ashish Verma, Ankit B. Patel, C. Corey Hardin, Melin J. Khandekar, Hang Lee, Dustin McEvoy, Triantafyllos Stylianopoulos, Lance L. Munn, Sayon Dutta, Rakesh K. Jain
Publikováno v:
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
Abstract As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission
Externí odkaz:
https://doaj.org/article/05e8f4be9b9244a0bd5e8c0dcae77ba7
Autor:
Adam Wright, Richard Schreiber, David W Bates, Skye Aaron, Angela Ai, Raja Arul Cholan, Akshay Desai, Miguel Divo, David A Dorr, Thu-Trang Hickman, Salman Hussain, Shari Just, Brian Koh, Stuart Lipsitz, Dustin Mcevoy, Trent Rosenbloom, Elise Russo, David Yut-Chee Ting, Asli Weitkamp, Dean F Sittig
Publikováno v:
Journal of the American Medical Informatics Association. 30:899-906
Objective To improve problem list documentation and care quality. Materials and methods We developed algorithms to infer clinical problems a patient has that are not recorded on the coded problem list using structured data in the electronic health re
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::05fb2e580ecdcfb341b8c54ac7eb991a
https://doi.org/10.1093/jamia/ocad020
https://doi.org/10.1093/jamia/ocad020
Autor:
Emily P. Hyle, Stephen B. Calderwood, Edward T. Ryan, Camille N. Kotton, Jacob E. Lazarus, Sayon Dutta, Nesli Basgoz, Tyler S. Brown, Caitlin M Dugdale, Jacob E. Lemieux, Louise C. Ivers, Sandra B Nelson, Jennifer L. Reedy, Amy L. Miller, Rochelle P. Walensky, Kristen Hysell, Howard M. Heller, Erica S. Shenoy, John S. Albin, Miriam B Barshak, David M. Rubins, Rocío M. Hurtado, Andrea L. Ciaranello, David C. Hooper, Dustin McEvoy, Suzanne M. McCluskey, Hang Lee, Kimon C. Zachary
Publikováno v:
Clinical Infectious Diseases
Background Isolation of hospitalized persons under investigation (PUIs) for coronavirus disease 2019 (COVID-19) reduces nosocomial transmission risk. Efficient evaluation of PUIs is needed to preserve scarce healthcare resources. We describe the deve
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b4c0a3d33b34370d9d7b0bd84adcc958
https://doi.org/10.1093/cid/ciab111
https://doi.org/10.1093/cid/ciab111
Publikováno v:
Blood. 140:10820-10821
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::03f032ed141e64b2de322922ce80828d
https://doi.org/10.1182/blood-2022-159147
https://doi.org/10.1182/blood-2022-159147
Publikováno v:
Clinica Chimica Acta. 510:337-343
Introduction An important cause of laboratory test misordering and overutilization is clinician confusion between tests with similar sounding names or similar indications. We identified an area of test ordering confusion with iron studies that involv
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::35ca78ae347acac764f0325ab2f80a0a
https://doi.org/10.1016/j.cca.2020.07.030
https://doi.org/10.1016/j.cca.2020.07.030
Autor:
Calvin Huang, Sayon Dutta, Ahad A. Al Saud, Hamid Shokoohi, Shan W. Liu, Nicole Duggan, Michael A. Loesche, Dustin McEvoy, Andrew S. Liteplo
Publikováno v:
Journal of the American College of Emergency Physicians Open
Objectives Difficult intravenous access (DIVA) is common in the emergency department (ED). We investigated the extent to which DIVA is associated with care delay outcomes including time to first laboratory draw, therapies, imaging, and ED disposition
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::cf445d885f2b1b45c3f10db7a0fcd1c2
http://europepmc.org/articles/PMC7771794
http://europepmc.org/articles/PMC7771794
Autor:
Joshua J Baugh, David F.M. Brown, Sayon Dutta, Benjamin A. White, Brian J. Yun, Dustin McEvoy, Ali S. Raja
Publikováno v:
The American Journal of Emergency Medicine
Objective Prior data suggest Emergency Department (ED) visits for many emergency conditions decreased during the initial COVID-19 surge. However, the pandemic's impact on the wide range of conditions seen in EDs, and the resources required for treati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::f491374969c88a8a4ad43a020350f642
Autor:
David C. Hooper, Dean Hashimoto, Lauren R West, Marisa N. Aurora, Dustin McEvoy, Michael Klompas, Rosemary R. Sheehan, Erica S. Shenoy, Ellyn R. Boukus
Publikováno v:
Infection Control and Hospital Epidemiology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0169aaa694a49796712409e0a795738f
http://europepmc.org/articles/PMC7484303
http://europepmc.org/articles/PMC7484303
Autor:
Mandakolathur R. Murali, Daimon P. Simmons, Jason M. Baron, Anand S. Dighe, Sacha N. Uljon, Joseph W Rudolf, Dustin McEvoy, Sayon Dutta
Publikováno v:
American Journal of Clinical Pathology. 153:396-406
Objectives To evaluate the use of a provider ordering alert to improve laboratory efficiency and reduce costs. Methods We conducted a retrospective study to assess the use of an institutional reflex panel for monoclonal gammopathy evaluation. We then
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::b5c778e07477e50c803dad3ebb0ebf2f
https://doi.org/10.1093/ajcp/aqz180
https://doi.org/10.1093/ajcp/aqz180
Autor:
Lance L. Munn, Dustin McEvoy, Sonu Subudhi, Ashish Verma, Melin J. Khandekar, Sayon Dutta, Hang Lee, Rakesh K. Jain, Ankit B. Patel, Triantafyllos Stylianopoulos, C. Corey Hardin
Publikováno v:
NPJ Digital Medicine
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
npj Digital Medicine, Vol 4, Iss 1, Pp 1-7 (2021)
As predicting the trajectory of COVID-19 is challenging, machine learning models could assist physicians in identifying high-risk individuals. This study compares the performance of 18 machine learning algorithms for predicting ICU admission and mort
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::37fe489560e3da259f7382bf45964c38
https://doi.org/10.1038/s41746-021-00456-x
https://doi.org/10.1038/s41746-021-00456-x