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Linking the Computerized Severity Index (CSI) to coded patient findings in the HELP system patient database
1Department of Medical Informatics, LDS Hospital/University of Utah, Salt Lake City.
Proceedings. Symposium on Computer Applications in Medical Care
|January 1, 1993
Summary
This study explores automating the Computerized Severity Index (CSI) using the HELP System
Area of Science:
- Health Informatics
- Clinical Data Management
- Patient Severity Scoring
Background:
- The Computerized Severity Index (CSI) is a standard tool for assessing hospital inpatient severity.
- Manual abstraction of patient records for CSI is time-consuming and resource-intensive.
Purpose of the Study:
- To investigate the feasibility of an automated CSI using the Health Evaluation Through Logical Processing (HELP) System.
- To identify the specific patient data within the HELP System required for automated CSI calculation.
Main Methods:
- Descriptive study design.
- Analysis of the HELP System's coded patient database at LDS Hospital.
- Examination of the nature and depth of patient findings necessary for CSI automation.
Main Results:
- The HELP System contains coded patient data potentially suitable for automating CSI.
- Specific diagnostic and physiological data points within HELP are crucial for accurate CSI calculation.
Conclusions:
- Automating the CSI using the HELP System is a viable approach.
- Leveraging coded patient data can eliminate manual abstraction, improving efficiency and accuracy in severity assessment.