Concept of a new Medical Data-Driven Health Care Model based on Remote Patient Monitoring

Area of Science:

• Health Informatics
• Medical Technology
• Healthcare Management

Background:

• Physician-supervised remote patient monitoring is crucial for modern healthcare.
• Existing models require optimization for diverse patient populations and settings.
• Integrating process, medical, and technical views is essential for effective remote care.

Purpose of the Study:

• To introduce and evaluate a comprehensive health care model for physician-supervised remote patient monitoring.
• To compare the model's applicability across various patient scenarios: home (with/without outpatient care) and nursing home.
• To demonstrate the model's feasibility through a proof-of-concept implementation.

Main Methods:

• A multidisciplinary approach analyzing the model from process, medical, and technical perspectives.
• Comparative analysis of different patient care scenarios.
• Proof-of-concept implementation and evaluation of model components.

Main Results:

• The proposed model integrates process, medical, and technical aspects for remote patient monitoring.
• Evaluations were conducted across distinct patient settings, including home and nursing home environments.
• Initial implementation confirmed the model's viability as a proof of concept.

Conclusions:

• Remote patient monitoring, under physician supervision, can significantly support general practitioners.
• The model has the potential to enhance patient prevention and treatment strategies.
• This approach can lead to a reduced burden on the overall healthcare system.