Leveraging Cloud Technology for Personalized Multiple Sclerosis Care: A Comprehensive Data Management and Visualization Approach

Authors

  • Jose Manuel PINILLOS RUBIO Universidad Internacional de La Rioja, Escuela Superior de Ingeniería y Tecnología (ESIT), 26006, Logroño, Spain
  • Minerva VIGUERA MORENO Programa de Doctorado en Ciencias Biomédicas y Salud Pública UNED-IMIENS, Universidad Nacional de Educación a Distancia (UNED), 28015 Madrid, Spain

Keywords:

Multiple Sclerosis, Data Visualization, Cloud Computing, Patient Reported Outcome Measures, Decision Support Systems

Abstract

This project develops a cloud-based solution for securely managing clinical data and patient-reported outcomes (PROMs) for multiple sclerosis (MS) patients. Utilizing REDCap for data collection, we incorporated clinical outcomes and PROMs from 300 MS patients over 18 months, supporting a machine learning (ML) based clinical decision support system. Our cloud architecture, featuring segregated data handling and enhanced security protocols using AWS, ensures robust data integrity and confidentiality. Key improvements include streamlined data ETL processes and an interactive online-based dashboard that facilitates the visualization of clinical data and PROMs, crucial for effective clinical decision-making. Initial results indicate a successful implementation in enhancing data management, with implications for personalized and predictive medicine. This framework not only elevates clinical data handling efficiency but also integrates PROMs into clinical practice effectively.

Downloads

Published

21.11.2024

How to Cite

1.
PINILLOS RUBIO JM, VIGUERA MORENO M. Leveraging Cloud Technology for Personalized Multiple Sclerosis Care: A Comprehensive Data Management and Visualization Approach. Appl Med Inform [Internet]. 2024 Nov. 21 [cited 2024 Dec. 3];46(Suppl. 2):S45-S48. Available from: https://ami.info.umfcluj.ro/index.php/AMI/article/view/1083