Modeling stroke rehabilitation processes using the Unified Modeling Language (UML).

Area of Science:

• Rehabilitation Medicine
• Health Informatics
• Systems Engineering

Background:

• Standardizing stroke rehabilitation is challenging due to the need for individualized refinements.
• Existing workflows often lack detailed structure, hindering efficient patient care.
• Effective monitoring of patient recovery is crucial for optimizing rehabilitation outcomes.

Purpose of the Study:

• To develop a comprehensive model for the post-stroke rehabilitation process.
• To enhance the organization and delivery of rehabilitation services for stroke survivors.
• To facilitate the monitoring of patient recovery throughout the rehabilitation journey.

Main Methods:

• Utilized Unified Modeling Language (UML) to construct the rehabilitation process model.
• Grounded the model on international clinical guidelines.
• Incorporated and refined the model based on a specialized rehabilitation center's clinical pathway.
• Developed and tested supporting system software for digital administration of clinical scales.

Main Results:

• A flexible UML-based model of the post-stroke rehabilitation process was successfully created.
• The model effectively describes the organization of rehabilitation delivery.
• The developed software supports clinicians in digitally managing clinical assessment scales.
• The model facilitates improved monitoring of patient recovery.

Conclusions:

• The developed model provides a structured framework for post-stroke rehabilitation, balancing standardization with flexibility.
• The system software aids in efficient and digitalized clinical data management.
• This approach enhances the monitoring of patient recovery and supports adaptive adjustments to the rehabilitation process.