Designing and scheduling a multi-disciplinary integrated practice unit for patient-centred care

Area of Science:

• Healthcare Management
• Operations Research
• Systems Engineering

Background:

• Traditional healthcare delivery models often face challenges with fragmented care and inefficient resource utilization.
• Integrated Practice Units (IPUs) represent a novel approach to organize multidisciplinary teams for comprehensive patient care.
• Understanding resource constraints and patient flow is crucial for successful IPU implementation.

Purpose of the Study:

• To design and analyze an Integrated Practice Unit (IPU) model for efficient healthcare delivery.
• To determine optimal patient capacity and resource allocation within an IPU.
• To evaluate the impact of simulation on IPU design and performance.

Main Methods:

• Discrete-event simulation was employed to model patient flow and resource utilization.
• Parametric analysis of resources including providers, imaging equipment, and rooms was conducted.
• A case study of a Lower Extremity Joint Pain IPU was used for computational analysis.

Main Results:

• The study determined the daily patient capacity for in-clinic visits within an IPU.
• Simulation identified the optimal number of follow-up patients that can be managed via telemedicine.
• Resource constraints and their impact on patient flow and system performance were quantified.

Conclusions:

• Simulation modeling is an effective tool for optimizing IPU design and resource allocation.
• IPUs can improve care delivery efficiency by organizing multidisciplinary teams and optimizing patient flow.
• The findings support the optimal design of IPUs, enhancing patient care and operational performance.