[Paper Review] Detailed Review of Cloud based Mobile application for the stroke patient

Balagopal Ramdurai|arXiv (Cornell University)|Sep 17, 2020

Stroke Rehabilitation and Recovery16 references9 citations

TL;DR

This paper proposes a cloud-based mobile application to support stroke patients through telemedicine, leveraging real-time data collection, cloud storage, and remote monitoring to improve diagnosis and reduce mortality. It reviews existing studies and demonstrates how integrated mobile and cloud technologies can enhance post-stroke care, rehabilitation, and patient outcomes.

ABSTRACT

In the current years, due to the significant developments in technologies in almost every domain, the standard of living has been improved. Emergence of latest innovations, advanced machinery and equipment especially in the healthcare domain, have simplified the diagonalizing process to a wide extent.

Motivation & Objective

• To investigate how cloud-based mobile applications can improve stroke patient outcomes through real-time monitoring and telemedicine.
• To analyze existing studies on mobile health (mHealth) and telemedicine applications in stroke care.
• To evaluate the role of cloud computing in enhancing data accessibility, storage, and remote clinical decision-making for stroke patients.
• To identify gaps in current systems and propose improvements for scalable, patient-centered stroke management solutions.
• To reduce stroke-related mortality and improve rehabilitation efficiency through integrated mobile and cloud technologies.

Proposed method

• Conducting a comprehensive literature review of existing telemedicine and mHealth applications for stroke patients.
• Analyzing the technical architecture of cloud-based mobile applications, focusing on data flow, security, and scalability.
• Evaluating the integration of mobile devices with cloud platforms for real-time health data transmission and storage.
• Assessing the role of remote healthcare providers in interpreting data and delivering timely interventions via the cloud.
• Examining interoperability standards and data privacy mechanisms in cloud-based health applications.
• Synthesizing findings to propose a framework for a scalable, secure, and efficient cloud-based mobile solution for stroke management.

Experimental results

Research questions

• RQ1 How can cloud-based mobile applications improve early diagnosis and intervention in stroke patients?
• RQ2 What are the key technical and clinical challenges in deploying mobile and cloud-based systems for stroke care?
• RQ3 In what ways can telemedicine reduce stroke-related mortality and improve rehabilitation outcomes?
• RQ4 How do existing cloud and mobile health systems support continuous patient monitoring and data sharing?
• RQ5 What are the critical design considerations for ensuring data security and patient privacy in cloud-based stroke applications?

Key findings

• Cloud-based mobile applications significantly enhance access to timely stroke care through remote monitoring and teleconsultations.
• Integration of mobile devices with cloud platforms enables real-time data collection and faster clinical decision-making.
• Telemedicine reduces stroke-related mortality by facilitating early diagnosis and rapid response in emergency scenarios.
• Existing systems show promise in improving rehabilitation outcomes through continuous patient engagement and data tracking.
• Challenges remain in data security, interoperability, and ensuring consistent patient adherence to mobile health protocols.
• The proposed framework demonstrates the feasibility of scalable, secure, and patient-centered cloud-based stroke management solutions.