Zobrazeno 1 - 7
of 7
pro vyhledávání: '"Elizabeth Lindemann"'
Autor:
Geetanjali Rajamani, Genevieve B. Melton, Deborah L. Pestka, Maya Peters, Iva Ninkovic, Elizabeth Lindemann, Timothy J. Beebe, Nathan Shippee, Bradley Benson, Abraham Jacob, Christopher Tignanelli, Nicholas E. Ingraham, Joseph S. Koopmeiners, Michael G. Usher
Publikováno v:
Learning Health Systems, Vol 8, Iss 3, Pp n/a-n/a (2024)
Abstract Background Learning health systems (LHSs) iteratively generate evidence that can be implemented into practice to improve care and produce generalizable knowledge. Pragmatic clinical trials fit well within LHSs as they combine real‐world da
Externí odkaz:
https://doaj.org/article/cc0d9d03806d40fbb2c49109ef2e1228
Autor:
Geetanjali Rajamani, Elizabeth Lindemann, Michael D. Evans, Raghu Pillai, Sameer Badlani, Genevieve B. Melton
Publikováno v:
Applied clinical informatics. 13(3)
Background Chronic disease is the leading cause of mortality in the United States. Health information technology (HIT) tools show promise for improving disease management. Objectives This study aims to understand the following: (1) how self-perceptio
Publikováno v:
Circulation. 143
Introduction: Emerging evidence suggests central systolic blood pressure (cSBP) and augmentation index are superior predictors of adverse cardiovascular outcomes as compared to peripheral systolic blood pressure (pSBP). Enhanced external counterpulsa
Autor:
Deborah M. Stein, Christopher J. Tignanelli, Benjamin Chen, Rachel Morris, Elizabeth Lindemann, Jeffrey G. Chipman, David Milia, James W. Glover, Erich Kummerfeld, Lena M. Napolitano, Mark R. Hemmila
Publikováno v:
The journal of trauma and acute care surgery. 88(3)
INTRODUCTION Elderly trauma patients are at high risk for mortality, even when presenting with minor injuries. Previous prognostic models are poorly used because of their reliance on elements unavailable during the index hospitalization. The purpose
Autor:
Gretchen, Hultman, Reed, McEwan, Serguei, Pakhomov, Elizabeth, Lindemann, Steven, Skube, Genevieve B, Melton
Publikováno v:
AMIA Summits on Translational Science Proceedings
Natural Language Processing – Patient Information Extraction for Researchers (NLP-PIER) was developed for clinical researchers for self-service Natural Language Processing (NLP) queries with clinical notes. This study was to conduct a user-centered
Publikováno v:
AMIA ... Annual Symposium proceedings. AMIA Symposium. 2016
The electronic health record (EHR) provides an opportunity for improved use of clinical documentation including leveraging tobacco use information by clinicians and researchers. In this study, we investigated the content, consistency, and completenes
Autor:
Elizabeth Lindemann, Donald C. Klein
Publikováno v:
Journal of School Health. 34:365-373