Marla N Gardner
Biographic Data
| ID | 5539509 |
|---|---|
| NAME | Marla N Gardner |
| GIVEN NAMES | Marla N |
| FAMILY NAME | Gardner |
| SIGNATURE | GARDNER M N |
| AFFILIATIONS | Kaiser Permanente |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2008 |
| LATEST PUBLICATION YEAR | 2013 |
| H-INDEX | 0 |
Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System
OBJECTIVE: Using a comprehensive inpatient electronic medical record, we sought to develop a risk-adjustment methodology applicable to all hospitalized patients. Further, we assessed the impact of specific data elements on model discrimination, explanatory power, calibration, integrated discrimination improvement, net reclassification improvement, performance across different hospital units, and hospital rankings. DESIGN: Retrospective cohort stu…
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…
Risk-adjusting Hospital Mortality Using a Comprehensive Electronic Record in an Integrated Health Care Delivery System
OBJECTIVE: Using a comprehensive inpatient electronic medical record, we sought to develop a risk-adjustment methodology applicable to all hospitalized patients. Further, we assessed the impact of specific data elements on model discrimination, explanatory power, calibration, integrated discrimination improvement, net reclassification improvement, performance across different hospital units, and hospital rankings. DESIGN: Retrospective cohort stu…
Emergency Medicine (2 works) · Emergency Medicine (2 works) · Health care (2 works) · Internal Medicine (2 works) · Internal Medicine (2 works) · Logistic regression (2 works) · Medicine (2 works) · Retrospective cohort study (2 works) · Sepsis Diagnosis and Treatment (2 works) · Statistic (2 works)