Hill, Derek L;
Stephenson, Diane;
Brayanov, Jordan;
Claes, Kasper;
Badawy, Reham;
Sardar, Sakshi;
Fisher, Katherine;
... Cosman, Josh; + view all
(2022)
Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease.
Sensors
, 22
(6)
, Article 2136. 10.3390/s22062136.
Preview |
Text
Hill_sensors-22-02136-v2.pdf Download (6MB) | Preview |
Abstract
Sensor data from digital health technologies (DHTs) used in clinical trials provides a valuable source of information, because of the possibility to combine datasets from different studies, to combine it with other data types, and to reuse it multiple times for various purposes. To date, there exist no standards for capturing or storing DHT biosensor data applicable across modalities and disease areas, and which can also capture the clinical trial and environment-specific aspects, so-called metadata. In this perspectives paper, we propose a metadata framework that divides the DHT metadata into metadata that is independent of the therapeutic area or clinical trial design (concept of interest and context of use), and metadata that is dependent on these factors. We demonstrate how this framework can be applied to data collected with different types of DHTs deployed in the WATCH-PD clinical study of Parkinson’s disease. This framework provides a means to pre-specify and therefore standardize aspects of the use of DHTs, promoting comparability of DHTs across future studies.
| Type: | Article |
|---|---|
| Title: | Metadata Framework to Support Deployment of Digital Health Technologies in Clinical Trials in Parkinson’s Disease |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.3390/s22062136 |
| Publisher version: | https://doi.org/10.3390/s22062136 |
| Language: | English |
| Additional information: | This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited |
| Keywords: | Digital health technology; Parkinson’s disease; metadata standards |
| UCL classification: | UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng UCL > Provost and Vice Provost Offices > UCL BEAMS UCL |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10145694 |
Loading...
Loading...Loading...Loading...Archive Staff Only
 |
View Item |
