guidetomeasure-OT: A mobile 3D application to improve the accuracy, consistency, and efficiency of clinician-led home-based falls-risk assessments
- Submitting institution
-
Brunel University London
- Unit of assessment
- 11 - Computer Science and Informatics
- Output identifier
- 076-206810-11712
- Type
- D - Journal article
- DOI
-
10.1016/j.ijmedinf.2019.07.004
- Title of journal
- International Journal Of Medical Informatics
- Article number
- -
- First page
- 349
- Volume
- 129
- Issue
- -
- ISSN
- 1386-5056
- Open access status
- Compliant
- Month of publication
- July
- Year of publication
- 2019
- URL
-
https://www.sciencedirect.com/science/article/pii/S1386505618304337/pdfft?md5=5f94b2cd7866a86599060d6b4d592a36&pid=1-s2.0-S1386505618304337-main.pdf
- Supplementary information
-
-
- Request cross-referral to
- -
- Output has been delayed by COVID-19
- No
- COVID-19 affected output statement
- -
- Forensic science
- No
- Criminology
- No
- Interdisciplinary
- Yes
- Number of additional authors
-
2
- Research group(s)
-
2 - Software, Systems & Security (SSS)
- Citation count
- 1
- Proposed double-weighted
- No
- Reserve for an output with double weighting
- No
- Additional information
- This study builds on foundational work from a project funded by Royal Society grant Ref: RG130826. A novel mobile 3D-VR application is presented and empirically evaluated, which is publicly available. The study finds that clinicians are able to carry out more efficient and accurate falls prevention assessments using the 3D-VR application compared with traditional paper-based methods - published in an leading international journal on medical informatics.
- Author contribution statement
- -
- Non-English
- No
- English abstract
- -
