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    This summary is machine-generated.

    A new automated system for patient harm identification allows real-time intervention and reveals a broader scope of harm. This advanced patient safety tool provides deeper insights into vulnerabilities, improving care quality.

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    Area of Science:

    • Healthcare Informatics
    • Patient Safety
    • Clinical Quality Improvement

    Background:

    • The Adventist Health System Patient Safety Organization (AHS PSO) previously used the Global Trigger Tool for harm identification.
    • Manual retrospective harm identification proved resource-intensive and lacked real-time intervention capabilities.
    • The need for a more sustainable and timely patient harm identification method was identified.

    Purpose of the Study:

    • To develop and evaluate a novel automated all-cause harm trigger identification system.
    • To enable real-time bedside intervention and trend analysis for patient safety.
    • To enhance the understanding and measurement of patient harm.

    Main Methods:

    • A sociotechnical approach integrating people, process, and technology was employed.
    • A new automated harm trigger identification system was jointly developed by two PSOs.
    • The system was piloted at two hospitals with a shared electronic health record platform.

    Main Results:

    • Over 11 months, 2,696 harms were identified, including hospital-acquired and outside-acquired.
    • Hypoglycemia was the most frequently identified harm.
    • The automated system identified significantly more harms related to Patient Safety Indicator 90 (PSI 90) compared to regulatory reporting.

    Conclusions:

    • The automated harm trigger system identified a greater volume and wider range of patient harms.
    • This system offers a deeper understanding of patient safety vulnerabilities.
    • The findings support the utility of automated systems for proactive patient safety management.