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System Dynamics in Remote Monitoring Service for Cardiovascular Implantable Electronic Devices.

Lisa W S Leung¹, Abdul Roudsari¹, Alex Kuo¹

¹School of Health Information Science, University of Victoria, Victoria, British Columbia, Canada.

Studies in Health Technology and Informatics

|February 12, 2019

Summary

This summary is machine-generated.

System dynamics modeling evaluated remote monitoring (RM) for cardiovascular implantable electronic devices (CIEDs), comparing clinical resource use between in-person and RM groups.

Keywords:

cardiovascular implantable electronic devices causal loop diagram clinical resource assessment remote monitoring simulation model system dynamics

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Area of Science:

Biomedical Engineering
Health Services Research
Computational Modeling

Background:

Cardiovascular implantable electronic devices (CIEDs) require ongoing clinical management.
Remote monitoring (RM) offers a potential alternative to traditional in-person clinic visits for CIED management.
Evaluating the impact of RM on clinical resource utilization is crucial for healthcare planning.

Purpose of the Study:

To describe the application of system dynamics methodology for evaluating RM of CIEDs.
To compare clinical resource utilization between in-person and RM groups for CIED management.

Main Methods:

Development of a causal loop diagram to map system relationships.
Construction of a stock and flow diagram to represent system dynamics.
Creation of a simulation model to compare in-person and RM clinic scenarios.

Main Results:

The study outlines the methodological approach for system dynamics modeling in this context.
The model facilitates a comparative analysis of resource utilization between different monitoring strategies.
Specific quantitative results on resource utilization are derived from the simulation.

Conclusions:

System dynamics provides a robust framework for evaluating healthcare interventions like CIED RM.
The simulation model can inform decisions regarding the optimal allocation of clinical resources.
This methodological paper lays the groundwork for future quantitative studies on RM effectiveness.