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pro vyhledávání: '"Lance Podsiad"'
Autor:
Anita B. Shallal, Medha Cherabuddi, Lance Podsiad, Christopher Gortat, Clare Shanahan, Tarlisha Holsey, Linoj Samuel, George Alangaden, Geehan Suleyman
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 3 (2023)
We describe the implementation of an electronic medical record “hard stop” to decrease inappropriate Clostridioides difficile testing across a 5-hospital health system, effectively reducing the rates of healthcare-facility–onset C. difficile in
Externí odkaz:
https://doaj.org/article/a131c01a55c4432ba53b6ef3264fec01
Autor:
Anita Shallal, Medha Cherabuddi, Lance Podsiad, Christopher Gortat, Clare Shanahan, Jessica Kirkpatrick, Eman Chami, Stephanie Schuldt, Tarlisha Holsey, Martin Levesque, George Alangaden, Geehan Suleyman
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 2, Pp s28-s29 (2022)
Background: Clostridioides difficile infection (CDI) is the most common healthcare-associated infection (HAI) in the United States. Healthcare facility-onset (HO) CDI reporting is a laboratory-identified (LabID) event and does not rely on symptoms. I
Externí odkaz:
https://doaj.org/article/5d81a3f864864293bdaf8d4e31b44e5f
Publikováno v:
Using Predictive Analytics to Improve Healthcare Outcomes
Autor:
Shallal, Anita B., Cherabuddi, Medha, Podsiad, Lance, Gortat, Christopher, Shanahan, Clare, Holsey, Tarlisha, Samuel, Linoj, Alangaden, George, Suleyman, Geehan
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology; 2023, Vol. 3 Issue 1, p1-4, 4p
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology; 2022 Special Issue, Vol. 2, pS1-S87, 87p
Publikováno v:
JACCP: Journal of the American College of Clinical Pharmacy; Sep2020, Vol. 3 Issue 6, p1172-1254, 83p
Using Predictive Analytics to Improve Healthcare OutcomesWinner of the American Journal of Nursing (AJN) Informatics Book of the Year Award 2021! Discover a comprehensive overview, from established leaders in the field, of how to use predictive analy