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Peter Scheirer

Biographic Data

ID5539508
NAMEPeter Scheirer
GIVEN NAMESPeter
FAMILY NAMEScheirer
SIGNATURESCHEIRER P
AFFILIATIONSKaiser Permanente
VERIFIEDNo
TOTAL WORKS2
TOTAL CITATIONS0
AUTHOR COUNT2
EDITOR COUNT0
FIRST PUBLICATION YEAR2008
LATEST PUBLICATION YEAR2015
H-INDEX0
  • Nonelective Rehospitalizations and Postdischarge Mortality

    Open Access•Gabriel J Escobar, Arona I Ragins et al.•ARTICLE•Medical Care•2015•References: 35

    BACKGROUND: Hospital discharge planning has been hampered by the lack of predictive models. OBJECTIVE: To develop predictive models for nonelective rehospitalization and postdischarge mortality suitable for use in commercially available electronic medical records (EMRs). DESIGN: Retrospective cohort study using split validation. SETTING: Integrated health care delivery system serving 3.9 million members. PARTICIPANTS: A total of 360,036 surviving…

  • Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases

    Gabriel J Escobar, J Greene et al.•ARTICLE•Medical Care•2008•References: 31

    OBJECTIVES: To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN: : Retrospective cohort study using split-validation and logistic regression. SETTING: Seventeen hospitals in a large integrated health care delivery system. SUBJECTS: Patients (n = 259,699) hospitalized between January 2002 and June 2005. MAIN OUTCOME MEASURES: Inpatient and…

No prominent works on this page.

  • Risk-Adjusting Hospital Inpatient Mortality Using Automated Inpatient, Outpatient, and Laboratory Databases

    Gabriel J Escobar, J Greene et al.•ARTICLE•Medical Care•2008•References: 31

    OBJECTIVES: To develop a risk-adjustment methodology that maximizes the use of automated physiology and diagnosis data from the time period preceding hospitalization. DESIGN: : Retrospective cohort study using split-validation and logistic regression. SETTING: Seventeen hospitals in a large integrated health care delivery system. SUBJECTS: Patients (n = 259,699) hospitalized between January 2002 and June 2005. MAIN OUTCOME MEASURES: Inpatient and…

  • Nonelective Rehospitalizations and Postdischarge Mortality

    Open Access•Gabriel J Escobar, Arona I Ragins et al.•ARTICLE•Medical Care•2015•References: 35

    BACKGROUND: Hospital discharge planning has been hampered by the lack of predictive models. OBJECTIVE: To develop predictive models for nonelective rehospitalization and postdischarge mortality suitable for use in commercially available electronic medical records (EMRs). DESIGN: Retrospective cohort study using split validation. SETTING: Integrated health care delivery system serving 3.9 million members. PARTICIPANTS: A total of 360,036 surviving…

Emergency Medicine (2 works) · Emergency Medicine (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Medicine (2 works) · Mortality rate (2 works) · Retrospective cohort study (2 works) · Sepsis Diagnosis and Treatment (2 works) · Cohort study (1 works) · Comorbidity (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