E S Goldman
Biographic Data
| ID | 6003051 |
|---|---|
| NAME | E S Goldman |
| GIVEN NAMES | E S |
| FAMILY NAME | Goldman |
| SIGNATURE | GOLDMAN E S |
| AFFILIATIONS | University of California, San Francisco |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 2 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1967 |
| LATEST PUBLICATION YEAR | 1989 |
| H-INDEX | 1 |
Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data
For 48 of the most common diagnosis-related groups (DRGs) at our hospital, we examined the ability of clinical laboratory tests, demographic data, and ICD-9-CM codes, which provide a measure of severity of illness, to predict patients' length of stay (LOS) more accurately than DRGs alone. For 10 of 20 medical DRGs and 13 of 23 surgical DRGs examined, we were able to increase the ability to predict LOS by at least 10 per cent. The laboratory tests…
Feedback from our readers
Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data
For 48 of the most common diagnosis-related groups (DRGs) at our hospital, we examined the ability of clinical laboratory tests, demographic data, and ICD-9-CM codes, which provide a measure of severity of illness, to predict patients' length of stay (LOS) more accurately than DRGs alone. For 10 of 20 medical DRGs and 13 of 23 surgical DRGs examined, we were able to increase the ability to predict LOS by at least 10 per cent. The laboratory tests…
Feedback from our readers
Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data
For 48 of the most common diagnosis-related groups (DRGs) at our hospital, we examined the ability of clinical laboratory tests, demographic data, and ICD-9-CM codes, which provide a measure of severity of illness, to predict patients' length of stay (LOS) more accurately than DRGs alone. For 10 of 20 medical DRGs and 13 of 23 surgical DRGs examined, we were able to increase the ability to predict LOS by at least 10 per cent. The laboratory tests…
Biomedical Text Mining and Ontologies (1 work) · Diverse Scientific and Economic Studies (1 work) · Emergency and Acute Care Studies (1 work) · Emergency Medicine (1 work) · Emergency Medicine (1 work) · Health care (1 work) · Hospital discharge (1 work) · Intensive care medicine (1 work) · Mathematics, Computing, and Information Processing (1 work) · Medicine (1 work)