Zobrazeno 1 - 10
of 34
pro vyhledávání: '"Rebecca R, Kitzmiller"'
Sequence to Sequence ECG Cardiac Rhythm Classification using Convolutional Recurrent Neural Networks
Autor:
Michael R. Kosorok, Douglas E. Lake, Randall Moorman, Ashok Krishnamurthy, Teeranan Pokaprakarn, Rebecca R. Kitzmiller
Publikováno v:
IEEE J Biomed Health Inform
This paper proposes a novel deep learning architecture involving combinations of Convolutional Neural Networks (CNN) layers and Recurrent neural networks (RNN) layers that can be used to perform segmentation and classification of 5 cardiac rhythms ba
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::e565eb4fbfa3bb85e036061b971c8465
https://europepmc.org/articles/PMC9033271/
https://europepmc.org/articles/PMC9033271/
Publikováno v:
Journal of interprofessional care. 36(6)
Relational coordination (RC) is a process of coordinating work between professionals that can be used as a framework to enhance interprofessional collaborative practice (IPCP) in various healthcare settings. RC encompasses four communication dimensio
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::bd81c828a44b39721ef6bb04845726b7
https://pubmed.ncbi.nlm.nih.gov/34392784
https://pubmed.ncbi.nlm.nih.gov/34392784
Publikováno v:
The Journal for Nurse Practitioners. 15:e189-e192
Veterans using civilian health care may suffer from undiagnosed posttraumatic stress disorder and have barriers to care. Through a primary care and nonprofit partnership, we trialed a posttraumatic stress disorder risk screening tool and referral pro
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::eb56b89d8897898f77e5a5f4a5a136ee
https://doi.org/10.1016/j.nurpra.2019.05.006
https://doi.org/10.1016/j.nurpra.2019.05.006
Autor:
Tracey L. Yap, J R Moorman, Jessica Keim-Malpass, Brynne A. Sullivan, Ashley Vaughan, Curt Lindberg, Susan M. Kennerly, Robert H. Tai, Ruth A. Anderson, Claire Mitchell, Rebecca R. Kitzmiller, Angela D. Skeeles-Worley
Publikováno v:
Applied Clinical Informatics
Background The purpose of this article is to describe neonatal intensive care unit clinician perceptions of a continuous predictive analytics technology and how those perceptions influenced clinician adoption. Adopting and integrating new technology
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ecf3795fd227785d16577c0bc9fa1633
http://europepmc.org/articles/PMC6494616
http://europepmc.org/articles/PMC6494616
Autor:
Jaime Arguello, Rachel Stemerman, Jane H. Brice, Mary Houston, Rebecca R. Kitzmiller, Ashok Krishnamurthy
Publikováno v:
JAMIA Open
Objectives Social determinants of health (SDH), key contributors to health, are rarely systematically measured and collected in the electronic health record (EHR). We investigate how to leverage clinical notes using novel applications of multi-label
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e7ef06fb7d15c513f81476e177b79ab
https://europepmc.org/articles/PMC8423426/
https://europepmc.org/articles/PMC8423426/
Autor:
Kevin Sullivan, J. Randall Moorman, James Forrest Calland, Rebecca R. Kitzmiller, Angela D. Skeeles-Worley, Jessica Keim-Malpass, Matthew T. Clark, Curt Lindberg, Robert H. Tai, Ruth A. Anderson
Publikováno v:
Critical Care Nursing Clinics of North America. 30:273-287
In the intensive care unit, clinicians monitor a diverse array of data inputs to detect early signs of impending clinical demise or improvement. Continuous predictive analytics monitoring synthesizes data from a variety of inputs into a risk estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::d6b44ddb8a70a45836c45ee2b64efe58
https://doi.org/10.1016/j.cnc.2018.02.009
https://doi.org/10.1016/j.cnc.2018.02.009
Publikováno v:
BMJ Quality & Safety. 26:944-946
Communicating patient information at shift change is a time-honoured nursing tradition. Historically referred to as ‘giving report’, the methods and information shared during nursing handoffs varied widely in modality (eg, face to face or through
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::7e61a0bfaa6184ea179affa68b52bfd4
https://doi.org/10.1136/bmjqs-2017-007010
https://doi.org/10.1136/bmjqs-2017-007010
Autor:
Douglas E. Lake, Caroline Ruminski, J. Randall Moorman, Jessica Keim-Malpass, J. Forrest Calland, Theresa R. Simons, Matthew P. Robertson, Rebecca R. Kitzmiller, Matthew T. Clark
Publikováno v:
J Clin Monit Comput
BACKGROUND: Predictive analytics monitoring, the use of patient data to provide continuous risk estimation of deterioration, is a promising new application of Big Data analytical techniques to the care of individual patients. We tested the hypothesis
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ea284709f449e24fdd009325c5627e19
https://pubmed.ncbi.nlm.nih.gov/30121744
https://pubmed.ncbi.nlm.nih.gov/30121744
Autor:
Jessica, Keim-Malpass, Rebecca R, Kitzmiller, Angela, Skeeles-Worley, Curt, Lindberg, Matthew T, Clark, Robert, Tai, James Forrest, Calland, Kevin, Sullivan, J, Randall Moorman, Ruth A, Anderson
Publikováno v:
Critical care nursing clinics of North America. 30(2)
In the intensive care unit, clinicians monitor a diverse array of data inputs to detect early signs of impending clinical demise or improvement. Continuous predictive analytics monitoring synthesizes data from a variety of inputs into a risk estimate
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=pmid________::94895d662ca17808b7b2981e59c26365
https://pubmed.ncbi.nlm.nih.gov/29724445
https://pubmed.ncbi.nlm.nih.gov/29724445
Autor:
Rebecca R. Kitzmiller, Usha Koshy Cherian, Sara Horton-Deutsch, Cheryl A. Smith-Miller, Gwen Sherwood
Publikováno v:
Nursing management (Harrow, London, England : 1994). 24(10)
Nurses' decisions about their intent to remain in the workforce are based on various factors. A healthy work environment in which work done well is recognised and appreciated contributes to nurses' satisfaction and better patient outcomes. This artic
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::0e43c75cd4d2707cecc9d3bda2c7c18d
https://pubmed.ncbi.nlm.nih.gov/29469246
https://pubmed.ncbi.nlm.nih.gov/29469246