Reducing emergency department visits among high-using patients

Area of Science:

• Health Informatics
• Clinical Decision Support Systems
• Healthcare Management

Background:

• High-cost healthcare encounters and emergency department (ED) visits pose significant financial and resource burdens.
• Physician adoption of new technologies is crucial for effective healthcare interventions.
• Real-time data systems offer potential for optimizing patient care and resource allocation.

Purpose of the Study:

• To evaluate the effectiveness of a real-time database system intervention in reducing high-cost encounters and ED visits.
• To compare the impact of minimal, moderate, and maximal intervention levels on healthcare utilization.
• To determine the most cost-effective intervention strategy.

Main Methods:

• Physician acceptance of a real-time database intervention was assessed.
• The study compared rates of high-cost encounters and ED visits across different intervention groups (minimal, moderate, maximal).
• Statistical analysis was used to determine significant differences between groups.

Main Results:

• Physician acceptance of the real-time database system was achieved.
• Moderate and maximal interventions significantly reduced high-cost encounters compared to minimal intervention.
• ED visits were significantly reduced with minimal intervention compared to moderate and maximal interventions.
• Moderate intervention demonstrated the most favorable cost-effectiveness due to significant reductions with limited staff involvement.

Conclusions:

• Real-time database interventions are effective in reducing high-cost healthcare encounters and ED visits.
• A moderate level of intervention appears to be the most cost-effective approach.
• Optimizing intervention intensity can lead to improved healthcare efficiency and resource management.