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Multilingual Framework for Risk Assessment and Symptom Tracking (MRAST)
Valentino Šafran1, Simon Lin2,3, Jama Nateqi2,3
1Faculty of Electrical Engineering and Computer Science, University of Maribor, 2000 Maribor, Slovenia.
Sensors (Basel, Switzerland)
|February 24, 2024
Summary
Advanced digital tools efficiently capture patient insights from diary recordings, improving real-world data collection for personalized oncology care. This approach enhances patient-centered healthcare by integrating daily experiences into treatment decisions.
Area of Science:
- Digital Health
- Oncology
- Patient-Reported Outcomes
Background:
- Traditional patient-reported experience and outcomes measures (PREMs/PROMs) have limitations in capturing the full spectrum of patient experiences.
- Real-world data (RWD) offers valuable insights into patient journeys, but effective collection methods are needed.
- Diary recordings can provide comprehensive psychological and physiological well-being data.
Purpose of the Study:
- To explore the use of advanced digital technologies, including automatic speech recognition and natural language processing, for efficient patient insight capture in oncology.
- To introduce and validate the MRAST framework for collecting, structuring, and understanding patient data from questionnaires and diary recordings.
- To assess the usability and user acceptance of a digital solution for collecting real-world patient data.
Main Methods:
- Development and implementation of the MRAST framework utilizing digital technologies.
- Prospective study involving colorectal and breast cancer survivors.
- Data collection through questionnaires and digital diary recordings, analyzed for usability and acceptance.
Main Results:
- Patients found the MRAST solution well-made, easy to use, and integrable into daily routines.
- A significant majority (75.3%) of cancer survivors expressed willingness for long-term daily health monitoring via digital wearables.
- Despite some negative feedback, overall usability ratings were above satisfactory, with the app usability rated 7.9/10 and diary recording experience 7.0/10.
Conclusions:
- Automated information extraction from patient diaries is a key step towards patient-centered care.
- The MRAST framework demonstrates the potential of digital tools to enhance the measurement of everyday patient experiences.
- User testing and continuous improvement are crucial for optimizing the usability and acceptance of digital health solutions in oncology.
