A framework for different levels of integration of computational models into web-based virtual patients

Area of Science:

• Medical Education Technology
• Computational Physiology
• Health Informatics

Background:

• Virtual patients are key tools for developing clinical reasoning skills in healthcare education.
• Integrating computational models can significantly enhance virtual patient interactivity and functionality.

Purpose of the Study:

• To propose a conceptual framework for integrating computational models into virtual patients.
• To define characteristics, integration levels, strategies, and evaluation methods for this integration.
• To pilot an investigation into framework variables affecting integration perceptions.

Main Methods:

• A framework was developed iteratively using Soft System Methodology.
• The Virtual Physiological Human (VPH) initiative provided computational models.
• Technical challenges were analyzed from multiple stakeholder perspectives.
• An exemplar virtual patient integrated with VPH ARCH project results was used for design and evaluation.

Main Results:

• The framework includes feasibility features, three integration levels (basic, intermediate, advanced), four integration strategies, and evaluation profiles.
• Experts found higher integration more engaging but raised concerns about result validity.
• Observed differences in expert opinions were not statistically significant.

Conclusions:

• A framework for integrating computational models into virtual patients has been outlined.
• Opportunities and challenges were discussed from various user perspectives and integration levels.
• Future research will focus on identifying crucial factors influencing integration outcomes.