Virtual twin for healthcare management

Area of Science:

• Digital Health
• Health Informatics
• Personalized Medicine

Background:

• Healthcare fragmentation leads to increased costs, patient dissatisfaction, and adverse outcomes.
• There is a growing need for strategies to improve healthcare integration and efficiency.

Purpose of the Study:

• To propose a patient-centered smartphone application, Virtual Twin for Healthcare Management (VTHM), to address healthcare fragmentation.
• To outline the organizational layout, functionality, and potential clinical applications of VTHM.

Main Methods:

• Development of a virtual twin hub displaying a physiologically based human model, personalized with unique patient data.
• Integration with a fully interoperable electronic health record accessible by authorized healthcare providers.
• Presentation of theoretical case studies to demonstrate VTHM's potential impact.

Main Results:

• VTHM can potentially enhance patient care by providing a unified view of health data.
• The application may improve clinical efficiency through better data accessibility and integration.
• VTHM is designed to support precision medicine initiatives, including pharmacogenomics and model-informed dosing.

Conclusions:

• VTHM offers a novel approach to combat healthcare fragmentation.
• The platform has the potential to revolutionize patient management and precision medicine.
• Overcoming implementation challenges is crucial for realizing VTHM's full potential.