Perpetual and Virtual Patients for Cardiorespiratory Physiological Studies

Area of Science:

• Physiological modeling
• Medical informatics
• Computational biology

Background:

• Physiologic models from the 20th century are now virtual patients (computational models).
• Initially for teaching, these models have potential for patient care and safety.
• Concerns exist regarding reliability and simulating patient physiologic evolution.

Purpose of the Study:

• To focus on the development of computational models.
• To review methodologies for clinical validation.
• To explore their use in clinical practice.

Main Methods:

• Development of computational models.
• Clinical validation using specific patient databases (perpetual patients).
• Application in clinical practice with high-fidelity simulation.

Main Results:

• Computational models can be developed from existing physiologic models.
• Validation methodologies are crucial for reliability.
• High-fidelity simulation is a key application area.

Conclusions:

• Computational models hold promise for cardiorespiratory management.
• Rigorous validation is essential for clinical trust and safety.
• Further research into validation and implementation is needed.