Abstract

Recent technological developments along with advances in smart healthcare have been rapidly changing the healthcare industry and improving outcomes for patients. To ensure reliable smartphone-based healthcare interfaces with high levels of efficacy, a system dynamics model with sustainability indicators is proposed. The focus of this paper is smartphone-based breathing monitoring systems that could possibly use breathing sounds as the data acquisition input. This can especially be useful for the self-testing procedure of the ongoing global COVID-19 crisis in which the lungs are attacked and breathing is affected. The method of investigation is based on a systems engineering approach using system dynamics modeling. In this paper, first, a causal model for a smartphone-based respiratory function monitoring is introduced. Then, a systems thinking approach is applied to propose a system dynamics model of the smartphone-based respiratory function monitoring system. The system dynamics model investigates the level of efficacy and sustainability of the system by studying the behavior of various factors of the system including patient wellbeing and care, cost, convenience, user friendliness, in addition to other embedded software and hardware breathing monitoring system design and performance metrics (e.g., accuracy, real-time response, etc.). The sustainability level is also studied through introducing various indicators that directly relate to the three pillars of sustainability. Various scenarios have been applied and tested on the proposed model. The results depict the dynamics of the model for the efficacy and sustainability of smartphone-based breathing monitoring systems. The proposed ideas provide a clear insight to envision sustainable and effective smartphone-based healthcare monitoring systems.

Highlights

  • We propose a system dynamics model to conceptualize the level of efficacy of the smartphone-based breathing monitoring system

  • Though there are many input design metrics that would impact the efficacy of service and/or sustainability of the system, we focus on those measures that are mostly related to the design of breathing monitoring Apps for the focus study of this research

  • A systems engineering perspective for sustainable smartphone-based healthcare monitoring applications was studied in this paper

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Summary

Background

The advent of mobile (m)-health, smart (s)-health, and electronic (e)-health have been made possible by the ever-growing advances of technology in various areas. Reliable personalized hand-held breathing monitoring systems, those that can be configured with smartphone devices and Apps, are more attractive and convenient for users/patients, but can play a significant role in the overall health and wellbeing of patients, by saving and/or improving many lives. These systems offer patient wellbeing through continuously monitoring the respiratory function. Differentiating normal and abnormal lung sounds for various respiratory diseases

Contribution
Paper Organization
Proposed Methodology
Causal Model
Categories of Sustainability
System Dynamics Model
Model Validation
Structural Tests
Behavior Tests
Policy Tests
Testing Scenarios and Simulation Runs
Baseline
Scenario 1
Scenario 2
Scenario 3
Scenario 4
Scenario 5
Scenario 6
Conclusions and Future Directions
Full Text
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