Skip to main content

ETHNOS_APP

Home • Search • Journals • List 0

M J Easterling

Biographic Data

ID6072960
NAMEM J Easterling
GIVEN NAMESM J
FAMILY NAMEEasterling
SIGNATUREEASTERLING M J
VERIFIEDNo
TOTAL WORKS1
TOTAL CITATIONS2
WORKS AS AUTHOR1
WORKS AS EDITOR0
FIRST PUBLICATION YEAR1989
LATEST PUBLICATION YEAR1989
H-INDEX1
  • Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data

    E S Goldman, M J Easterling et al.•ARTICLE•American Journal of Public Health•1989•Cited by: 2•References: 7

    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…

  • Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data

    E S Goldman, M J Easterling et al.•ARTICLE•American Journal of Public Health•1989•Cited by: 2•References: 7

    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…

  • Improving the homogeneity of diagnosis-related groups (DRGs) by using clinical laboratory, demographic, and discharge data

    E S Goldman, M J Easterling et al.•ARTICLE•American Journal of Public Health•1989•Cited by: 2•References: 7

    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…

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) · Medicine (1 work) · Reimbursement (1 work) · Sepsis Diagnosis and Treatment (1 work) · Trauma and Emergency Care Studies (1 work)

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