Applying the task-technology fit model to construct the prototype of a medical staff scheduling system

Area of Science:

• Healthcare Management
• Information Technology Systems
• Operations Research

Background:

• Medical staff scheduling is a complex operational challenge with numerous constraints.
• Existing systems may not adequately address the dynamic needs of healthcare facilities.
• The integration of technology is crucial for optimizing staff allocation.

Purpose of the Study:

• To apply the task-technology fit (TTF) model to evaluate information technology (IT) characteristics for medical staff scheduling.
• To identify essential function requirements and design user-friendly human interfaces for a novel scheduling system.
• To develop a prototype for a medical staff scheduling system tailored to specific healthcare unit needs.

Main Methods:

• Utilized the task-technology fit (TTF) model, adapting its technology characteristics.
• Excluded 'compatibility' and incorporated 'customization' and 'scalability' into the model's framework.
• Developed a prototype system based on the revised TTF model for radiological technologists.

Main Results:

• A flexible scheduling system prototype was created, accommodating daily manpower needs, predetermined schedules, and day-off requests.
• The system demonstrates flexibility, customization, and scalability, employing algorithms to satisfy hard and soft constraints.
• Users can select required constraints, and the system allows for easy extension or modification of constraints.

Conclusions:

• The developed prototype serves as a foundation for system developers to create customized staff scheduling solutions.
• The research highlights the importance of adaptable IT systems in addressing complex medical scheduling problems.
• The findings support the design of scalable and flexible scheduling systems for various medical units.