Digital innovation in MS
Discover how digital tools are:
- Accelerating the collection of big data
- Helping healthcare professionals to start harnessing technology to change how multiple sclerosis (MS) patients can be monitored
- Being integrated into clinical practice
Wearable technology and apps are rapidly becoming a part of our everyday lives. Researchers are actively examining how such technology can allow for quantification of MS disease change, both as a clinical tool, and also outside of the clinic. This is improving the ability to identify specific issues, predict the evolution of the disease and understand the unique features of each patient in a way that current standards of care are not able to do.
Presented by Dr Mar Tintoré, this section of the symposium answers the question: how can digital innovation improve MS patient care?
Dr Mar Tintoré is Senior Consultant at the Multiple Sclerosis Centre of Catalonia (Cemcat) and Clinical Chief of the Neurology/Neuroimmunology Department at Vall d'Hebron University Hospital, Barcelona, Spain.
Real world data sources
Dr Tintoré reviews the different sources of real-world data available and the importance of being able to share this data, especially during the COVID-19 pandemic. She also describes the utility of single centre cohorts in understanding the full patient journey as well as the advantages and disadvantages of using the expanded disability status scale (EDSS) for disability evaluation.
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Introducing eHealth and innovation
In this video, Dr Tintoré explains the challenges that must be overcome along the path of developing apps and technology that can be used in clinical practice. She also gives successful examples of digital technology used in other fields of medicine and metrics already measured by technology that correlate well with clinical trial measures of disability in multiple sclerosis (MS), like the expanded disability status scale (EDSS).
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Automating data collection with MS PATHS
Dr Tintoré discusses how the MS PATHS project, an international effort to better quantify multiple sclerosis (MS) patient disease outcomes, uses a self-administered multiple sclerosis performance test (MSPT) to allow patients to collect data for a range of metrics at each clinic visit, hence minimising the burden on care providers to do this.
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Capturing MS symptoms from the beginning
Dr Tintoré describes how physical and cognitive changes are inadequately measured in the early phases of multiple sclerosis (MS) and how digital monitoring could help capture data on the progression of MS from the very beginning. She also shares how the MS PATHS project is using quantitative magnetic resonance imaging (MRI) and bio banked samples to potentially enhance their approach to disability monitoring.
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Evaluating remote patient monitoring
Sharing two more digital technology projects, Dr Tintoré explains how the RADAR-CNS project is being used to test the utility of technology to detect mood changes and gait dysfunction in multiple sclerosis (MS) and how the FLOODLIGHT project was used to evaluate the feasibility of remote patient monitoring using digital technology.
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The benefits to digital health and the challenges being overcome
Dr Tintoré describes the advantages of digital tools for monitoring multiple sclerosis (MS) such as the visualisation of real-world patient outcomes, improved efficiency of the Dr - patient interaction, early detection of disease changes and the empowerment of patients. She also describes the challenges being addressed along the path to adopting these tools.
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