A Design Methodology for Medical Processes.

Area of Science:

• Health Informatics
• Process Modeling
• Healthcare Management

Background:

• Healthcare processes are inherently complex due to dynamic diagnoses, expert variability, and patient-specific factors.
• Effective care coordination necessitates clear and transparent communication among multiple healthcare actors.
• Existing models often fail to capture the unique complexities of the healthcare domain.

Purpose of the Study:

• To propose a novel methodology for modeling healthcare processes.
• To address the complexity and enhance transparency in healthcare.
• To improve communication and coordination among healthcare providers.

Main Methods:

• A three-phase modeling methodology: environmental context study, conceptual modeling, and logical modeling.
• Grounded on requirements specific to the unique nature of the healthcare domain.
• Validated through a case study in stroke patient rehabilitation.

Main Results:

• Developed a validated process model for stroke patient rehabilitation.
• The model facilitated the creation of software for digital assessment test administration.
• Demonstrated the practical application of the methodology in a specialized setting.

Conclusions:

• Process modeling effectively addresses real-world healthcare needs.
• The proposed methodology yields high-quality models applicable across diverse medical domains.
• It aids in identifying and managing complex situations during process execution.