[Development of a clinical decision support system using clinical laboratory test data].

Area of Science:

• Clinical Informatics
• Pharmacovigilance
• Health Information Systems

Context:

• Physicians require support to ensure appropriate medication prescribing within hospital information systems (HIS).
• Identifying and preventing contraindicated medication prescriptions is crucial for patient safety.
• Existing systems may lack robust mechanisms for real-time medication safety alerts.

Purpose:

• To develop and evaluate an alert system integrated into a hospital information system (HIS).
• The system aims to extract patient problems and identify contraindicated medication prescriptions.
• To assess the system's impact on discontinuing medications that are inappropriate for patient conditions.

Summary:

• The developed HIS alert system analyzes patient data, including renal function and existing diseases (liver disease, diabetes mellitus), to detect potential medication contraindications or overdoses.
• Alerts are triggered for issues like impaired renal function, excessive dosage relative to renal function, or prescriptions contraindicated by a patient's condition.
• The system presents relevant alerts to physicians when viewing patient lists, facilitating timely clinical decisions.

Impact:

• The alert system significantly improved the discontinuation rate of contraindicated medications for patients with renal dysfunction, increasing from 24% to 54%.
• This demonstrates the system's effectiveness in enhancing medication safety and reducing adverse drug events.
• The findings support the integration of such alert systems into routine clinical practice to optimize medication management.