Usability and Acceptability of ASSESS MS: Assessment of Motor Dysfunction in Multiple Sclerosis Using Depth-Sensing Computer Vision.
Cecily MorrisonMarcus D' SouzaKit HuckvaleJonas F DornJessica BurggraaffChristian Philipp KammSaskia Marie SteinheimerPeter KontschiederAntonio CriminisiBernard M J UitdehaagFrank DahlkeLudwig KapposAbigail SellenPublished in: JMIR human factors (2015)
In typical clinical settings, ASSESS MS is usable and acceptable to both patients and health professionals, generating data of a quality suitable for clinical analysis. An iterative design process appears to have been successful in accounting for factors that permit ASSESS MS to be used by a range of health professionals in new settings with minimal training. The study shows the potential of shifting ubiquitous sensing technologies from research into the clinic through a design approach that gives appropriate attention to the clinic environment.
Keyphrases
- multiple sclerosis
- mass spectrometry
- ms ms
- end stage renal disease
- primary care
- electronic health record
- newly diagnosed
- ejection fraction
- chronic kidney disease
- white matter
- peritoneal dialysis
- deep learning
- working memory
- oxidative stress
- prognostic factors
- patient reported outcomes
- health information
- risk assessment
- quality improvement
- social media
- magnetic resonance
- magnetic resonance imaging
- clinical evaluation