The Computerized Severity Index. A new tool for case-mix management.

Area of Science:

• Medical Informatics
• Health Services Research
• Clinical Coding

Background:

• Existing coding systems lack detailed severity metrics.
• Accurate patient severity assessment is crucial for healthcare management.

Purpose of the Study:

• Introduce the Computerized Severity Index (CSI).
• Detail the methodology using a 6-digit ICD-9-CM addition.
• Explore CSI applications in healthcare evaluation.

Main Methods:

• Developed CSI from an expanded discharge abstract dataset.
• Utilized a new 6-digit codebook (ICD-9-CMSA) for diagnosis severity.
• Applied CSI to determine overall inpatient illness severity.

Main Results:

• The CSI quantifies illness severity for individual hospital inpatients.
• The ICD-9-CMSA enables detailed diagnosis severity labeling.
• CSI provides a comprehensive measure of patient complexity.

Conclusions:

• CSI offers a robust method for severity-adjusted healthcare analysis.
• Potential applications include quality assessment, efficiency metrics, and resource prediction.
• Severity-adjusted data can inform prospective payment models.