Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

Christian M Rochefort

Biographic Data

ID5535997
NAMEChristian M Rochefort
GIVEN NAMESChristian M
FAMILY NAMERochefort
SIGNATUREROCHEFORT C M
AFFILIATIONSDepartment of Epidemiology, Biostatics and Occupational Health, Faculty of Medicine
ORCID0000-0002-0035-8382
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2017
LATEST PUBLICATION YEAR2020
H-INDEX0
  • Associations of 4 Nurse Staffing Practices With Hospital Mortality

    Open Access•Christian M Rochefort, Marie-Eve Beauchamp et al.•ARTICLE•Medical Care•2020•References: 42

    BACKGROUND: Cross-sectional studies of hospital-level administrative data have suggested that 4 nurse staffing practices-using adequate staffing levels, higher proportions of registered nurses (RNs) (skill mix), and more educated and experienced RNs-are each associated with reduced hospital mortality. To increase the validity of this evidence, patient-level longitudinal studies assessing the simultaneous associations of these staffing practices w…

  • Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records

    Open Access•Zhe Tian, Simon Sun et al.•ARTICLE•Medical Care•2017•References: 15

    BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an electronic format, automated surveillance using natural language processing (NLP) techniques may represent a better method. OBJECTIVE: We assessed the accuracy of using symbolic NLP for identifying the 2…

No prominent works on this page.

  • Automated Extraction of VTE Events From Narrative Radiology Reports in Electronic Health Records

    Open Access•Zhe Tian, Simon Sun et al.•ARTICLE•Medical Care•2017•References: 15

    BACKGROUND: Surveillance of venous thromboembolisms (VTEs) is necessary for improving patient safety in acute care hospitals, but current detection methods are inaccurate and inefficient. With the growing availability of clinical narratives in an electronic format, automated surveillance using natural language processing (NLP) techniques may represent a better method. OBJECTIVE: We assessed the accuracy of using symbolic NLP for identifying the 2…

  • Associations of 4 Nurse Staffing Practices With Hospital Mortality

    Open Access•Christian M Rochefort, Marie-Eve Beauchamp et al.•ARTICLE•Medical Care•2020•References: 42

    BACKGROUND: Cross-sectional studies of hospital-level administrative data have suggested that 4 nurse staffing practices-using adequate staffing levels, higher proportions of registered nurses (RNs) (skill mix), and more educated and experienced RNs-are each associated with reduced hospital mortality. To increase the validity of this evidence, patient-level longitudinal studies assessing the simultaneous associations of these staffing practices w…

Health care (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Artificial Intelligence (1 works) · Artificial Intelligence (1 works) · Computer Science (1 works) · Confidence interval (1 works) · Deep vein (1 works) · Electronic health record (1 works)

Ethnos_APP • Open Source Project • MIT License • Frontend v2.0.0 • Privacy and Cookies • API Documentation: api.ethnos.app/docs • API Source Code: GitHub • DOI: 10.5281/zenodo.17049435 • Frontend Source Code: GitHub • DOI: 10.5281/zenodo.17050053 • cruz.rio.br • Expectantes Misericordiae