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Related Experiment Videos

Measuring resource use in the ICU with computerized therapeutic intervention scoring system-based data

G Clermont1, D C Angus, W T Linde-Zwirble

  • 1Health Delivery and Systems Evaluation Team, Department of Anesthesiology and Critical Care Medicine, University of Pittsburgh, PA 15213, USA.

Chest
|March 14, 1998
PubMed
Summary

An automated algorithm can accurately generate Therapeutic Intervention Scoring System (TISS) scores from hospital billing data. This method allows for reliable comparison of intensive care unit (ICU) resource use across patients and institutions.

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Area of Science:

  • Healthcare management
  • Medical informatics
  • Intensive care unit (ICU) resource utilization

Background:

  • Increasing need for healthcare reform necessitates tools to monitor and control resource consumption.
  • Existing measurement tools lack practicality, uniformity, and reproducibility for comparative analysis.
  • Therapeutic Intervention Scoring System (TISS) is a clinician-understood metric relevant to ICU resource use.

Purpose of the Study:

  • To explore the feasibility of generating an index of resource use from hospital electronic billing data using TISS.
  • To develop a practical, uniform, and reproducible method for assessing and comparing ICU resource consumption.
  • To validate an automated TISS scoring system against prospectively gathered scores.

Main Methods:

Related Experiment Videos

  • Developed an automated algorithm to map hospital billing data to TISS items.
  • Generated computerized active TISS scores for 1,372 ICU days across eight ICUs.
  • Validated computerized TISS scores against prospectively gathered scores from trained data collectors for 1,229 patients.
  • Main Results:

    • Computerized TISS scores showed strong correlation (R2=0.53) and calibration (R2=0.85) with prospectively gathered scores.
    • Scores were identical on 55.6% of days and differed by ≤3 points on an additional 28.2%.
    • Excellent discriminatory power for identifying different levels of ICU resource use (AUCs 0.87-0.91) across patient groups.

    Conclusions:

    • An automated algorithm can reliably reproduce valid TISS scores from standard hospital billing data.
    • This automated method facilitates valid comparisons of ICU resource use among patients and institutions.
    • The findings support improved understanding and management of ICU resource consumption.