Peter Scheirer
Biographic Data
| ID | 5539508 |
|---|---|
| NAME | Peter Scheirer |
| GIVEN NAMES | Peter |
| FAMILY NAME | Scheirer |
| SIGNATURE | SCHEIRER P |
| AFFILIATIONS | Kaiser Permanente |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2015 |
| H-INDEX | 0 |
Nonelective Rehospitalizations and Postdischarge Mortality
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
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
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
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)