Zobrazeno 1 - 10
of 15
pro vyhledávání: '"Kenrick D Cato"'
Autor:
Jessica M Schwartz, Maureen George, Sarah Collins Rossetti, Patricia C Dykes, Simon R Minshall, Eugene Lucas, Kenrick D Cato
Publikováno v:
JMIR Human Factors, Vol 9, Iss 2, p e33960 (2022)
BackgroundClinician trust in machine learning–based clinical decision support systems (CDSSs) for predicting in-hospital deterioration (a type of predictive CDSS) is essential for adoption. Evidence shows that clinician trust in predictive CDSSs is
Externí odkaz:
https://doaj.org/article/0481e8fa72aa435a922e97bc6f7e26e4
Autor:
Yue Hu, Kenrick D. Cato, Carri W. Chan, Jing Dong, Nicholas Gavin, Sarah C. Rossetti, Bernard P. Chang
Publikováno v:
Annals of Emergency Medicine. 81:728-737
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
Publikováno v:
Applied Clinical Informatics. 13:1223-1236
Background Seamless data integration between point-of-care medical devices and the electronic health record (EHR) can be central to clinical decision support systems (CDSS). Objective The objective of this scoping review is to (1) examine the existin
Autor:
Lusine Poghosyan, Jianfang Liu, Jennifer Perloff, Thomas D’Aunno, Kenrick D. Cato, Mark W. Friedberg, Grant Martsolf
Publikováno v:
Med Care
BACKGROUND. Nurse practitioners (NPs) play a critical role in delivering primary care, particularly to chronically ill elderly. Yet, many NPs practice in poor work environments which may affect patient outcomes. OBJECTIVES. We investigated the relati
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::49f4fcaef4d2025d98f171c7d97b9b8c
https://europepmc.org/articles/PMC9202077/
https://europepmc.org/articles/PMC9202077/
Publikováno v:
J Adolesc
INTRODUCTION: This study examines the relationships among recent adverse childhood experiences (ACEs), somatic symptoms, and anxiety/depression symptoms during adolescence and whether anxiety/depression symptoms mediate the relationship between ACEs
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::a2e4b708d107405d4ce15ae9a9d6aaca
https://europepmc.org/articles/PMC9511877/
https://europepmc.org/articles/PMC9511877/
Autor:
Kenrick D. Cato, Akanksha Anand
Publikováno v:
US-China Law Review. 18
Autor:
Yalini Senathirajah, David R. Kaufman, Kenrick D. Cato, Elizabeth M. Borycki, Jaime Allen Fawcett, Andre W Kushniruk
BACKGROUND Navigational complexity can present formidable challenges for electronic health record (EHR) users. The fragmented design of conventional EHRs can contribute to increased cognitive load for clinician users and poor fit-to-task. First, the
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e67471e716482df09db4db8c249be016
https://doi.org/10.2196/preprints.25747
https://doi.org/10.2196/preprints.25747
Autor:
Carolyn, Sun, Caroline J, Fu, Jessica, O'Brien, Kenrick D, Cato, Lauren, Stoerger, Alan, Levin
Publikováno v:
The Journal of nursing administration. 50(6)
To describe the relationship of inpatient falls to bedside shift report (BSR) and hourly rounding (HR).Falls are a major healthcare concern. Although measures such as BSR and HR are reported to reduce falls, studies are often based on self-reported d
Autor:
Yalini Senathirajah, David R Kaufman, Kenrick D Cato, Elizabeth M Borycki, Jaime Allen Fawcett, Andre W Kushniruk
BACKGROUND The complexity of health care data and workflow presents challenges to the study of usability in electronic health records (EHRs). Display fragmentation refers to the distribution of relevant data across different screens or otherwise far
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e0c2a53a4972eddefa890d3c90f68625
https://doi.org/10.2196/preprints.18484
https://doi.org/10.2196/preprints.18484