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Digital Phenotyping in Clinical Neurology
1Department of Neurology, Massachusetts General Hospital, Harvard Medical School, Boston, Massachusetts.
Seminars in Neurology
|January 11, 2022
Summary
Digital phenotyping uses everyday connected devices to gather health data. This approach offers new ways to understand and manage neurological conditions using accessible technology.
Area of Science:
- Neurology
- Digital Health
- Computational Neuroscience
Background:
- Internet-connected devices are ubiquitous multisensor technologies used daily by billions.
- These devices capture vast data streams offering opportunities for health monitoring.
- Digital phenotyping leverages these data streams to understand health and disease states.
Purpose of the Study:
- To summarize the potential applications of digital phenotyping in neurology.
- To review existing studies that utilize consumer technologies for motor and cognitive data acquisition.
- To offer insights into how neurologists can adopt and advance digital phenotyping.
Main Methods:
- Review of literature on digital phenotyping in neurology.
- Analysis of studies employing consumer electronics for data collection.
- Perspective on integrating digital phenotyping into neurological practice.
Main Results:
- Everyday technologies offer novel avenues for collecting objective motor and cognitive data.
- Digital phenotyping presents significant opportunities for neurological research and clinical care.
- The field is rapidly evolving with increasing potential for real-world health applications.
Conclusions:
- Digital phenotyping holds immense promise for advancing neurological understanding and patient care.
- Neurologists should actively engage with and promote the use of these technologies.
- Embracing digital phenotyping can accelerate progress in diagnosing and managing neurological disorders.
