Zobrazeno 1 - 10
of 62
pro vyhledávání: '"Keith F. Woeltje"'
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:
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:
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
Autor:
Dustyn A. Barnette, Keith F. Woeltje, S. Joshua Swamidass, Arghya Datta, Noah R. Flynn, Grover P. Miller
Publikováno v:
PLoS Computational Biology
PLoS Computational Biology, Vol 17, Iss 7, p e1009053 (2021)
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
Autor:
Keith F. Woeltje, Gaylene Dunn, Adnan Siddiqui, Erik R. Dubberke, Cassandra Mueller, Rebecca M. Guth, Rebecca S. Wade, Kathleen M. McMullen, David K. Warren, Helen Wood
Publikováno v:
American journal of infection control. 49(5)
Ultraviolet light (UVL) room disinfection has emerged as an adjunct to manual cleaning of patient rooms. Two different no-touch UVL devices were implemented in 3 health system hospitals to reduce Clostridioides difficile infections (CDI). CDI rates a
Autor:
Albert M. Lai, Thomas George Kannampallil, Anne Trolard, Randi E. Foraker, Keith F. Woeltje, Philip R. O. Payne
Publikováno v:
Learning Health Systems
Learning Health Systems, Vol 5, Iss 1, Pp n/a-n/a (2021)
Learning Health Systems, Vol 5, Iss 1, Pp n/a-n/a (2021)
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 historical conte
Autor:
Aaloke Mody, Branson Fox, Christine M. Hoehner, Elvin Geng, William G. Powderly, Keith F. Woeltje, Byron W. Yount, Joshua Schwab, Maya L. Petersen, Mario Schootman, Randi E. Foraker
Publikováno v:
JAMA Network Open
Key Points Question Given the geographic heterogeneity of the COVID-19 pandemic, is it possible to assess the outcomes of delayed social distancing policies within any one geographic location? Findings In this decision analytical model of 1.3 million
Autor:
William E. Trick, Keith F. Woeltje, Hude Quan, Lisa Pineles, Elizabeth Dodds Ashley, Surbhi Leekha, Deverick J. Anderson, Laurence S. Magder, Ron E. Polk, Katherine E Goodman, Anthony D. Harris, Sara E. Cosgrove
Publikováno v:
Infection Control & Hospital Epidemiology. 41:s51-s52
Background: Reducing inappropriate antibiotic use is critical for fighting antibiotic resistance. Quantifying the amount and diversity of antibiotic use in US hospitals is foundational to these efforts but hampered by limited national surveillance. T