Zobrazeno 1 - 10
of 23
pro vyhledávání: '"Amanda J Moy"'
Autor:
Amanda J Moy, Jennifer Withall, Mollie Hobensack, Rachel Yeji Lee, Deborah R Levy, Sarah C Rossetti, S Trent Rosenbloom, Kevin Johnson, Kenrick Cato
Publikováno v:
Journal of Medical Internet Research, Vol 25, p e45645 (2023)
BackgroundAddressing clinician documentation burden through “targeted solutions” is a growing priority for many organizations ranging from government and academia to industry. Between January and February 2021, the 25 by 5: Symposium to Reduce Do
Externí odkaz:
https://doaj.org/article/2b9f6a589e9248b48d1a15cd6439898b
Autor:
Amanda J Moy, Mollie Hobensack, Kyle Marshall, David K Vawdrey, Eugene Y Kim, Kenrick D Cato, Sarah C Rossetti
Publikováno v:
Journal of the American Medical Informatics Association. 30:797-808
Objective Understand the perceived role of electronic health records (EHR) and workflow fragmentation on clinician documentation burden in the emergency department (ED). Methods From February to June 2022, we conducted semistructured interviews among
Autor:
Amanda J Moy, Jennifer Withall, Mollie Hobensack, Rachel Yeji Lee, Deborah R Levy, Sarah C Rossetti, S Trent Rosenbloom, Kevin Johnson, Kenrick Cato
BACKGROUND Addressing clinician documentation burden through “targeted solutions” is a growing priority for many organizations ranging from government and academia to industry. Between January and February 2021, the 25 by 5: Symposium to Reduce D
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::1b7546add2e85984405eb5913db100a0
https://doi.org/10.2196/preprints.45645
https://doi.org/10.2196/preprints.45645
Autor:
Sarah Collins Rossetti, Eugene Lucas, Kenrick Cato, S. Trent Rosenbloom, Amanda J. Moy, Jennifer Withall, Judy Murphy, Kevin B. Johnson, Don E. Detmer, Jessica M. Schwartz
Publikováno v:
Applied Clinical Informatics
Background Substantial strategies to reduce clinical documentation were implemented by health care systems throughout the coronavirus disease-2019 (COVID-19) pandemic at national and local levels. This natural experiment provides an opportunity to st
Autor:
Ruijun Chen, Shirin Sadri, Kenrick Cato, Amanda J. Moy, Sarah Collins Rossetti, Eugene Lucas, Jessica M. Schwartz
Publikováno v:
Journal of the American Medical Informatics Association
Journal of the American Medical Informatics Association : JAMIA
Journal of the American Medical Informatics Association : JAMIA
Background Objective Electronic health records (EHRs) are linked with documentation burden resulting in clinician burnout. While clear classifications and validated measures of burnout exist, documentation burden remains ill-defined and inconsistentl
Autor:
Kenrick Cato, Jonathan E. Elias, Amanda J. Moy, Lucy Aaron, Jessica M. Schwartz, Richard Trepp, Sarah Collins Rossetti
Publikováno v:
Appl Clin Inform
Background The impact of electronic health records (EHRs) in the emergency department (ED) remains mixed. Dynamic and unpredictable, the ED is highly vulnerable to workflow interruptions. Objectives The aim of the study is to understand multitasking
Publikováno v:
J Am Med Inform Assoc
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::329f9e7b95103edeaa4ab1a2e24fc27c
https://europepmc.org/articles/PMC8510376/
https://europepmc.org/articles/PMC8510376/
Publikováno v:
Journal of the American Medical Informatics Association. 28:2543-2544
Publikováno v:
J Am Med Inform Assoc
Objective The study sought to describe the prevalence and nature of clinical expert involvement in the development, evaluation, and implementation of clinical decision support systems (CDSSs) that utilize machine learning to analyze electronic health
Autor:
Jose P. Garcia, Patricia C. Dykes, Min-Jeoung Kang, Sarah Collins Rossetti, Li-heng Fu, Kenrick Cato, Christopher Knaplund, Haomiao Jia, Amanda J. Moy, David J. Albers, Jessica M. Schwartz, Kumiko O. Schnock
Publikováno v:
J Biomed Inform
Objectives This review aims to: 1) evaluate the quality of model reporting, 2) provide an overview of methodology for developing and validating Early Warning Score Systems (EWSs) for adult patients in acute care settings, and 3) highlight the strengt