Zobrazeno 1 - 10
of 144
pro vyhledávání: '"Keith F, Woeltje"'
Autor:
Rosenthal, Victor D.
Publikováno v:
Clinical Infectious Diseases, 2011 Apr 01. 52(7), 963-964.
Externí odkaz:
http://dx.doi.org/10.1093/cid/ciq211
Autor:
Dajun Tian MS, Christine M. Hoehner PhD, MSPH, Keith F. Woeltje MD, PhD, Lan Luong MS, Michael A. Lane MD, MS
Publikováno v:
Journal of Patient Experience, Vol 8 (2021)
Transitioning from one electronic health record (EHR) system to another is of the most disruptive events in health care and research about its impact on patient experience for inpatient is limited. This study aimed to assess the impact of transitioni
Externí odkaz:
https://doaj.org/article/13f1b8c4d935494d8b1ccde3998857a1
Autor:
Arghya Datta, Noah R Flynn, Dustyn A Barnette, Keith F Woeltje, Grover P Miller, S Joshua Swamidass
Publikováno v:
PLoS Computational Biology, Vol 17, Iss 7, p e1009053 (2021)
Drug-drug interactions account for up to 30% of adverse drug reactions. Increasing prevalence of electronic health records (EHRs) offers a unique opportunity to build machine learning algorithms to identify drug-drug interactions that drive adverse e
Externí odkaz:
https://doaj.org/article/126f693c605a4d0982e6791282923134
Autor:
Randi E. Foraker, Albert M. Lai, Thomas G. Kannampallil, Keith F. Woeltje, Anne M. Trolard, Philip R. O. Payne
Publikováno v:
Learning Health Systems, Vol 5, Iss 1, Pp n/a-n/a (2021)
Abstract Problem The current coronavirus disease 2019 (COVID‐19) pandemic underscores the need for building and sustaining public health data infrastructure to support a rapid local, regional, national, and international response. Despite a histori
Externí odkaz:
https://doaj.org/article/188264fa9ef54f5bae1365ca7b973512
Autor:
Keith F. Woeltje
Publikováno v:
ACI Open. :e80-e83
Autor:
Sanjay Joshua Swamidass, Na Le Dang, Arghya Datta, Elizabeth L. Yanik, Thiago A. Moulin, Matthew K. Matlock, Keith F. Woeltje
Publikováno v:
IEEE Journal of Biomedical and Health Informatics. 25:2204-2214
Machine learning, combined with a proliferation of electronic healthcare records (EHR), has the potential to transform medicine by identifying previously unknown interventions that reduce the risk of adverse outcomes. To realize this potential, machi
Autor:
Laurence S. Magder, Anthony D. Harris, Deverick J. Anderson, Ron E. Polk, Lisa Pineles, Surbhi Leekha, Katherine E Goodman, William E. Trick, Hude Quan, Keith F. Woeltje, Elizabeth Dodds Ashley, Sara E. Cosgrove
Publikováno v:
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Background The Centers for Disease Control and Prevention (CDC) uses standardized antimicrobial administration ratios (SAARs)—that is, observed-to-predicted ratios—to compare antibiotic use across facilities. CDC models adjust for facility charac
Autor:
Thomas George Kannampallil, Philip R. O. Payne, Albert M. Lai, Randi E. Foraker, Keith F. Woeltje
Publikováno v:
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association
Data and information technology are key to every aspect of our response to the current coronavirus disease 2019 (COVID-19) pandemic—including the diagnosis of patients and delivery of care, the development of predictive models of disease spread, an
Autor:
Hude Quan, Katherine E Goodman, Deverick J. Anderson, Anthony D. Harris, Lisa Pineles, Laurence S. Magder, Elizabeth Dodds Ashley, Ron E. Polk, William E Trick, Surbhi Leekha, Sara E. Cosgrove, Keith F. Woeltje
Publikováno v:
Clinical Infectious Diseases: An Official Publication of the Infectious Diseases Society of America
Background Quantifying the amount and diversity of antibiotic use in United States hospitals assists antibiotic stewardship efforts but is hampered by limited national surveillance. Our study aimed to address this knowledge gap by examining adult ant
Autor:
Cristina Vazquez Guillamet, Aaloke Mody, Andrew P. Michelson, Angella Sandra Namwase, Patrick G. Lyons, Pratik Sinha, William G. Powderly, Elvin Geng, Sean Yu, Keith F. Woeltje
Publikováno v:
American Journal of Epidemiology
There are limited data on longitudinal outcomes for coronavirus disease 2019 (COVID-19) hospitalizations that account for transitions between clinical states over time. Using electronic health record data from a hospital network in the St. Louis, Mis