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Using information from databases to improve clinical practice: lessons learned under fire

S W Dziuban1

  • 1Department of Thoracic Surgery, St Peter's Hospital, Albany, New York 12208, USA.

The Annals of Thoracic Surgery
|January 31, 1998
PubMed
Summary
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Analyzing clinical databases revealed that a single mortality statistic can be misleading. In-depth review identified high-risk patient subsets, leading to practice changes and improved patient outcomes, significantly reducing coronary artery bypass graft mortality.

Area of Science:

  • Healthcare Analytics
  • Clinical Database Management
  • Patient Outcomes Research

Background:

  • Clinical databases offer valuable data for reporting, marketing, and patient care optimization.
  • Data-driven insights are crucial for hospital performance evaluation and strategic planning.

Purpose of the Study:

  • To investigate a reported high risk-adjusted mortality rate at St. Peter's Hospital.
  • To identify specific patient groups or patterns contributing to the observed mortality statistic.
  • To leverage clinical database information for targeted quality improvement initiatives.

Main Methods:

  • A multidisciplinary team conducted a collaborative review of the hospital's clinical database.
  • Analysis focused on identifying patterns and patient subsets associated with mortality.

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  • Information from the database informed discussions on practice changes among cardiologists and surgeons.

    • Main Results:

    • Mortality rates for most patients (>95%) were at or below the statewide average.
    • An elevated mortality rate was specifically linked to a small subset of high-risk patients.
    • Following practice changes in 1993, overall mortality for coronary artery bypass graft patients decreased from 4.5% to approximately 1.5%.

    Conclusions:

    • Relying on single performance metrics, such as short-term mortality, can obscure critical details.
    • Comprehensive analysis of clinical database information is essential for identifying areas for clinical practice improvement.
    • Targeted interventions based on detailed data analysis can lead to significant reductions in patient mortality.