A Simple On-Line Information System for Quality Assessment

Many aspects of medicine would be well served by a simple method to assess the outcome of care in specified groups of patients. This study examined charts of patients with stomach cancer on a surgical service. Two digits were added to the ICD-9 number in the routine discharge data; one for the natur...

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Bibliographic Details
Published in:Medical care 1990-07, Vol.28 (7), p.567-572
Main Authors: Janssen, Carl W., Viste, Asgaut, Glück, Edgar
Format: Article
Language:English
Subjects:
Aged
Data Interpretation, Statistical
Female
Health care quality
Health outcomes
Hospital beds
Hospital Information Systems
Hospitals
Humans
Length of stay
Length of Stay - statistics & numerical data
Male
Mortality
Norway
Online Systems
Outcome and Process Assessment (Health Care) - methods
Postoperative Complications - epidemiology
Quality Assurance, Health Care - statistics & numerical data
Stomach cancer
Stomach Neoplasms - complications
Stomach Neoplasms - surgery
Surgical procedures
Surgical Procedures, Operative - standards
Surgical specialties
Terminal care
Thrombophlebitis - epidemiology
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Summary:Many aspects of medicine would be well served by a simple method to assess the outcome of care in specified groups of patients. This study examined charts of patients with stomach cancer on a surgical service. Two digits were added to the ICD-9 number in the routine discharge data; one for the nature and severity of case and the other for the outcome of care. The digits were designed for on-line registration at discharge. Information was also obtained on resource consumption in the various groups of patients. Most of the variables had to be evaluated implicitly as there were no explicit judgment criteria and few empiric data available for comparison. Implicit evaluation of the results was significant and prompted steps for improving care. With current systems, the information obtained from traditional hospital statistics is limited and partly misleading. By slight modification, however, hospital statistics may provide valuable information for assessing quality of care and resource allocation during hospitalization.
ISSN:0025-7079
1537-1948
DOI:10.1097/00005650-199007000-00003