Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Urmila Ravichandran"'
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 4, Pp s9-s9 (2024)
Background: Unlike Staphylococcus aureus bacteremia, the impact of ID consultation for gram negative bacteremia (GNB) has not been well studied. Recent literature has supported shorter courses of antibiotics in adults with uncomplicated GNB. We exami
Externí odkaz:
https://doaj.org/article/cdcd3cbfb0734f35a90828b5ad0fc03c
Autor:
Patrick Mulligan, Nader Ismail, Nirav Shah, Jessica P. Ridgway, Urmila Ravichandran, Jennifer Grant, Mary Ellen Acree
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology, Vol 4 (2024)
Inappropriate antibiotic use may lead to increased adverse drug events (ADEs). This study assessed whether an antimicrobial stewardship recommendation to discontinue antibiotics in patients with low likelihood for bacterial infection reduced antibiot
Externí odkaz:
https://doaj.org/article/7d075449d68f4d26bc1e791cef698590
Autor:
Nirav Shah, Chad Konchak, Daniel Chertok, Loretta Au, Alex Kozlov, Urmila Ravichandran, Patrick McNulty, Linning Liao, Kate Steele, Maureen Kharasch, Chris Boyle, Tom Hensing, David Lovinger, Jonathan Birnberg, Anthony Solomonides, Lakshmi Halasyamani
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0238065 (2020)
BackgroundNumerous predictive models in the literature stratify patients by risk of mortality and readmission. Few prediction models have been developed to optimize impact while sustaining sufficient performance.ObjectiveWe aimed to derive models for
Externí odkaz:
https://doaj.org/article/18f67e9b428a4998bb71cf89b6e957ea
Autor:
Lance R. Peterson, Mary Ellen Acree, Urmila Ravichandran, Kamaljit Singh, Ari Robicsek, Becky Smith, Jessica P Ridgway, Jeffery Semel, Nirav Shah, Jennifer Grant
Publikováno v:
Clinical Infectious Diseases. 72:e265-e271
Background The weighted incidence syndromic combination antibiogram (WISCA) is an antimicrobial stewardship tool that utilizes electronic medical record data to provide real-time clinical decision support regarding empiric antibiotic prescription in
Publikováno v:
Proceedings of the Annual Hawaii International Conference on System Sciences.
Autor:
Wei Ning Chi, Courtney Reamer, Robert Gordon, Nitasha Sarswat, Charu Gupta, Emily White VanGompel, Julie Dayiantis, Melissa Morton-Jost, Urmila Ravichandran, Karen Larimer, David Victorson, John Erwin, Lakshmi Halasyamani, Anthony Solomonides, Rema Padman, Nirav S. Shah
Publikováno v:
Appl Clin Inform
Objective We report on our experience of deploying a continuous remote patient monitoring (CRPM) study soft launch with structured cascading and escalation pathways on heart failure (HF) patients post-discharge. The lessons learned from the soft laun
Autor:
Urmila Ravichandran, Christopher A Boyle, Coleen Conway-Svec, Thomas A. Hensing, Diane Shifley, Susan Kim, Valerie Hankamp, Lakshmi Halasyamani, Nadim M. Ilbawi
Publikováno v:
Journal of hospital medicine.
BACKGROUND: COVID-19 represents a grave risk to residents in skilled nursing facilities (SNFs). OBJECTIVE: To determine whether establishment of an appropriate-use committee was associated with a reduction in SNF utilization. DESIGNS, SETTING, AND PA
Autor:
Nader Ismail, Nirav Shah, Urmila Ravichandran, Patrick Mulligan, Mary Ellen Acree, Jennfer Grant
Publikováno v:
Antimicrobial Stewardship & Healthcare Epidemiology. 1:s30-s31
Group Name: NorthShore University HealthSystemBackground: Prolonged antibiotic use has been attributed to an increased incidence of adverse drug events (ADEs). Cessation of unnecessary antibiotics would decrease length of treatment and may help preve
Autor:
Nirav Shah, Mary Ellen Acree, David D Zhang, Madan Kumar, Urmila Ravichandran, Aniruddha Hazra, Jessica P Ridgway
Publikováno v:
Infection Control & Hospital Epidemiology
Infection Control and Hospital Epidemiology
Infection Control and Hospital Epidemiology
Autor:
Daniel L. Chertok, Jonathan M. Birnberg, Loretta Au, Maureen Kharasch, Tom Hensing, Alex Kozlov, Chad Konchak, Kate Steele, Urmila Ravichandran, David M. Lovinger, Christopher A Boyle, Lakshmi Halasyamani, Nirav Shah, Anthony Solomonides, Patrick McNulty, Linning Liao
Publikováno v:
PLoS ONE, Vol 15, Iss 8, p e0238065 (2020)
PLoS ONE
PLoS ONE
BackgroundNumerous predictive models in the literature stratify patients by risk of mortality and readmission. Few prediction models have been developed to optimize impact while sustaining sufficient performance.ObjectiveWe aimed to derive models for