Abstract
Existing management information systems (MIS) are not oriented toward producing data on admissions, with the exception of the Uniform Hospital Discharge Abstract Data Set (UHDADS). Using UHDADS, supplemented with detailed charge data, two issues are being addressed in the Department of Medicine, The Johns Hopkins Hospital: (1) can charges per admission be predicted from a minimal data set? (2) can diagnostic specific trends in utilization and charges be detected on a timely basis? Results of multivariate analysis have shown that significant variations in length of stay among diagnostic categories are frequently not associated with significant variations in charges. Through a detailed analysis of selected diagnostic groups, the need for a treatment pattern classification to compliment the diagnostic classification of admissions has been identified. A classification system based on level and type of treatment charges has been tested. Effectiveness is being measured by its capability to detect trends in charges, and to characterize resource use patterns for management reporting.
Original language | English (US) |
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Pages | 122-129 |
Number of pages | 8 |
State | Published - 1979 |
Externally published | Yes |
Event | Annu Symp on Comput Appl in Med Care, 3rd, Proc - Washington, DC, USA Duration: Oct 14 1979 → Oct 17 1979 |
Other
Other | Annu Symp on Comput Appl in Med Care, 3rd, Proc |
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City | Washington, DC, USA |
Period | 10/14/79 → 10/17/79 |
ASJC Scopus subject areas
- General Engineering