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Grid Patient Appointment Template Design to Improve Scheduling Effectiveness.

Yu-Li Huang, Justin Marcak

Journal of Healthcare Engineering

|August 21, 2015

Summary

A new grid appointment system improves outpatient scheduling and patient access. This flexible system is 15% more cost-effective than traditional methods by optimizing appointment slot lengths.

Area of Science:

Health Services Research
Operations Research
Healthcare Management

Background:

Current outpatient delivery systems face challenges in appointment scheduling and patient access to care.
Existing appointment systems often lead to inefficiencies and suboptimal patient experiences.

Purpose of the Study:

To develop a novel grid appointment system to enhance scheduling flexibility in outpatient settings.
To determine the optimal minimum appointment slot length that minimizes total costs, including patient waiting, physician idling, and overtime.

Main Methods:

Developed a grid appointment system using a minimum slot length for shorter patient types (e.g., return visits - RV) and multiples for longer types (e.g., new patients - NP).
Compared the cost-effectiveness of the proposed grid system against baseline scheduling approaches based on mean treatment times.

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Analyzed system performance in response to demand fluctuations, such as grouping RVs or dividing NPs.

Main Results:

The proposed grid appointment system demonstrated at least 15% greater cost-effectiveness in adjusting to demand changes.
Optimizing slot lengths by using minimum durations and their multiples proved more efficient than mean-based scheduling.
The system effectively managed variations in patient treatment times, improving overall efficiency.

Conclusions:

The grid appointment system offers a more flexible and cost-effective solution for outpatient scheduling.
Optimizing appointment slot lengths based on patient type is crucial for improving healthcare operational efficiency.
This approach enhances patient access and reduces operational costs in outpatient delivery systems.