Zobrazeno 1 - 10
of 30
pro vyhledávání: '"Joan M. Rimar"'
Autor:
Joseph Beals, IV, PhD, Jaime J. Barnes, DO, Daniel J. Durand, MD, Joan M. Rimar, DNSc, Thomas J. Donohue, MD, S. Mahfuz Hoq, MD, Kathy W. Belk, BA, Alpesh N. Amin, MD, Michael J. Rothman, PhD
Publikováno v:
Critical Care Explorations, Vol 3, Iss 4, p e0400 (2021)
Objectives:. Triaging patients at admission to determine subsequent deterioration risk can be difficult. This is especially true of coronavirus disease 2019 patients, some of whom experience significant physiologic deterioration due to dysregulated i
Externí odkaz:
https://doaj.org/article/2a2e647d0785420e937b1c618cb4df91
Autor:
J. Barnes, Thomas J. Donohue, J. Beals, M.J. Rothman, D. Durand, Joan M. Rimar, K. Belk, Alpesh Amin, M. Hoq
IntroductionRecent localized surges in COVID-19 cases have resulted in the hospitals serving those areas being overwhelmed. In such cases, the ability to rapidly and objectively determine a patient’s acuity and predict near-term care needs is a maj
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::4d8881553eb7ade2e9aa9d652e2fe1af
Autor:
Andrew J. Nowalk, James E. Levin, Allen L. Hsiao, Albert Marchetti, Michael J. Rothman, Joseph J. Tepas, Joan M. Rimar
Publikováno v:
Journal of Biomedical Informatics. 66:180-193
Display Omitted The first continuously age-adjusted measure of risk for pediatric patients.A new method to compute age-adjusted risk, based on the Rothman Index excess risk curves.Age-adjusted risk curves validated by comparison with expert-derived f
Autor:
Joan M. Rimar, Jaime J. Barnes, Joseph Beals, Daniel J. Durand, Thomas J. Donohue, S. Mahfuz Hoq, Michael J. Rothman, Kathy Belk, Alpesh Amin
Publikováno v:
Critical Care Explorations
Critical Care Explorations, Vol 3, Iss 4, p e0400 (2021)
Critical Care Explorations, Vol 3, Iss 4, p e0400 (2021)
Supplemental Digital Content is available in the text.
Objectives: Triaging patients at admission to determine subsequent deterioration risk can be difficult. This is especially true of coronavirus disease 2019 patients, some of whom experience
Objectives: Triaging patients at admission to determine subsequent deterioration risk can be difficult. This is especially true of coronavirus disease 2019 patients, some of whom experience
Publikováno v:
Critical Care Medicine. 49:5-5
INTRODUCTION: COVID-19 patients have a recognized susceptibility to rapid and severe deterioration Early identification of patients at risk of deterioration is a clinical challenge Characteristics associated with COVID-19 risk, including age and como
Autor:
Kerin B. Adelson, Peter Longley, Javier Perez-Irizarry, Teresita Vega, Salimah Velji, Susan K. Lipka, Junchao Ma, Rogerio Lilenbaum, Joan M. Rimar, Donald K. K. Lee, Edieal J. Pinker
Publikováno v:
Journal of oncology practice. 14(3)
Purpose: End-of-life care for patients with advanced cancer is aggressive and costly. Oncologists inconsistently estimate life expectancy and address goals of care. Currently available prognostication tools are based on subjective clinical assessment
Publikováno v:
SSRN Electronic Journal.
We examine whether workload has an impact on a direct measure of the health status of patients discharged from Intensive Care Units (ICUs). We use data collected from the medical ICU and the surgical ICU of a major teaching hospital and a relatively
Autor:
Barbara J. Few, Joan M. Rimar
Publikováno v:
Journal for Nurses in Staff Development (JNSD). 15:159-162
One of the challenges facing staff development educators today is addressing the needs of a new healthcare team with widely differing education and experience. We developed a novel approach--the Party Planner--to teach a diverse healthcare team about
Publikováno v:
BMJ Quality & Safety. 24:734-735
Background Early identification of clinical deterioration is critical in providing high quality care to hospitalized patients. Having invested heavily in electronic medical records, hospitals are leveraging EMR data to address failure to rescue occur
Publikováno v:
Surgery. 154(4)
We hypothesized that a novel algorithm that uses data from the electronic medical record (EMR) from multiple clinical and biometric sources could provide early warning of organ dysfunction in patients with high risk for postoperative complications an