Advanced access: reducing waiting and delays in primary care

Area of Science:

• Healthcare Management
• Operations Research
• Primary Care

Background:

• Healthcare systems often experience significant delays in patient care, frequently attributed to inefficient scheduling and resource allocation rather than genuine resource scarcity.
• These delays negatively impact patient access and overall healthcare system efficiency.

Purpose of the Study:

• To explore the application of industrial engineering principles, specifically queuing theory and advanced access models, to reduce healthcare delays.
• To demonstrate that substantial reductions in patient waiting times are achievable without requiring additional resources.

Main Methods:

• Utilizing principles of queuing theory and industrial engineering adapted for clinical settings.
• Implementing the advanced access model, which prioritizes offering same-day appointments to patients.
• Focusing on six key elements: balancing supply and demand, reducing appointment backlogs, standardizing appointment types, creating contingency plans, managing demand, and enhancing bottleneck resource availability.

Main Results:

• The advanced access model has demonstrated success in reducing waiting times within primary care settings.
• Implementation can lead to substantial reductions in delay, even in smaller practices.
• The model's effectiveness is contingent on demand not exceeding physician capacity.

Conclusions:

• Healthcare delays are often systemic and addressable through optimized scheduling and resource management, not just increased resources.
• Advanced access, grounded in industrial engineering, offers a viable strategy to improve patient access and reduce waiting times.
• Successful adoption requires overcoming established practices and necessitates strong leadership commitment.