The Mobilise-D project has developed advanced algorithms to monitor walking patterns as critical health indicators, integrating them into products from companies like EMPATICA, Clario, McRoberts, and Actigraph. These algorithms enable accurate, real-world data collection on patient mobility, particularly for use in clinical trials.

  • Key Features of the Mobilise-D System
  • Wearable Device:
    • Worn on the lower back for continuous monitoring of mobility over a one-week period.
    • Generates 24 distinct digital mobility outcomes, offering comprehensive insights into patient movement.
  • Open-Source Algorithms:
    • Developed in Python and openly available, facilitating widespread adoption by companies such as EMPATICA and others.
  • Impact on Clinical Trials
  • Real-World Data Integration:
    • Provides precise mobility data, enhancing the quality of insights in clinical trials.
  • Decentralized Clinical Trials:
    • The effectiveness of remote data collection, highlighted during the COVID-19 pandemic, has driven increased interest in at-home monitoring solutions.

This innovative approach not only advances patient monitoring but also strengthens the potential for decentralized and patient-centric clinical trials, reshaping how mobility-related health outcomes are evaluated.

Region: EU Harmonized (27 Markets)
Source: https://www.ihi.europa.eu/news-events/newsroom/real-world-results-mobilise-d-algorithms-enter-market

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