Using the Electronic Health Record Data in Real Time and Predictive Analytics to Prevent Hospital-Acquired...

Area of Science:

• Healthcare Informatics
• Infection Prevention
• Patient Safety

Background:

• Postoperative infections increase hospital stays, costs, and patient suffering.
• Current infection prevention methods underutilize informatics and real-time data.
• Retrospective data analysis is common for benchmarking, not proactive prevention.

Purpose of the Study:

• To propose a real-time electronic surveillance system for preventing postoperative infections.
• To highlight the need for standardized patient-centered and operational indicators.
• To advocate for leveraging electronic health records for proactive infection control.

Main Methods:

• Utilizing standardized indicators linked to electronic health records.
• Implementing 24/7 real-time monitoring and surveillance.
• Developing timely, patient- and facility-specific preventive interventions.

Main Results:

• The proposed system enables real-time surveillance for early detection of infection risks.
• Standardized indicators can be integrated into electronic health records for continuous monitoring.
• Well-timed interventions can be scaled to individual patient and facility needs.

Conclusions:

• Real-time monitoring using standardized indicators in EHRs can significantly reduce postoperative infections.
• This approach improves the overall quality of patient care.
• Implementing such a system can lead to better cost-efficiency in healthcare.