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

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

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This project develops a cloud-based usc gamecocks online 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 herbstonne black-eyed susan 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.