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Mobilemicroservices Architecture for Remote Monitoring of Patients: A Feasibility Study.

Jari Ruokolainen1,2,3, Juan Haladijan4, Milla Juutinen2

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Summary

This study introduces Mobilemicroservices Architecture (MMA) for smart mobile devices (SMDs) to collect healthcare data. MMA enables secure, scalable, and accessible real-time patient monitoring without cloud dependency.

Keywords:
Computer system architectureTelemedicineWearable electronic device

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Area of Science:

  • * Digital Health
  • * Biomedical Engineering
  • * Mobile Computing

Background:

  • * Advancements in smart mobile devices (SMDs), wearable sensors, and mobile networks offer new, geographically unrestricted healthcare opportunities.
  • * Existing architectures may not fully leverage the distributed capabilities of modern mobile technology for healthcare data collection.
  • * There is a need for scalable, secure, and patient-friendly solutions for real-time health monitoring.

Purpose of the Study:

  • * To introduce and evaluate the Mobilemicroservices Architecture (MMA) for healthcare applications.
  • * To demonstrate the feasibility of MMA for collecting sensitive patient data, specifically motor function in Parkinson's disease.
  • * To highlight the benefits of MMA, including extendibility, scalability, security, and direct data collection from SMDs.

Main Methods:

  • * Developed an MMA where each smart mobile device (SMD) sensor is assigned an HTTP-based Mobilemicroservice (MM).
  • * Investigated feasibility through a two-year project involving MMA-based solutions.
  • * Collected motor function data from 98 Parkinson's disease patients and healthy controls in clinical settings and during three-day real-world monitoring.

Main Results:

  • * MMA successfully facilitated the collection of motor function data from Parkinson's disease patients.
  • * The architecture demonstrated the capability for real-time, in-situ data collection in patients' everyday environments.
  • * MMA enabled direct access to SMD resources for HTTP-based business-logic computing, accessible globally.

Conclusions:

  • * MMA provides a feasible, extendable, and scalable architecture for mobile health applications.
  • * The architecture enhances patient usability and data security while enabling raw data collection without cloud reliance.
  • * MMA facilitates global accessibility of SMD resources for real-time healthcare monitoring and data analysis.