UCL  IRIS
Institutional Research Information Service
UCL Logo
Please report any queries concerning the funding data grouped in the sections named "Externally Awarded" or "Internally Disbursed" (shown on the profile page) to your Research Finance Administrator. Your can find your Research Finance Administrator at https://www.ucl.ac.uk/finance/research/rs-contacts.php by entering your department
Please report any queries concerning the student data shown on the profile page to:

Email: portico-services@ucl.ac.uk

Help Desk: http://www.ucl.ac.uk/ras/portico/helpdesk
Publication Detail
Innovation in der Diagnostik – mobile Technologien = Innovation in diagnostics-mobile technologies
  • Publication Type:
    Journal article
  • Publication Sub Type:
    Review
  • Authors:
    Düzel E, Thyrian JR, Berron D
  • Publication date:
    16/08/2019
  • Journal:
    Nervenarzt
  • Status:
    Published
  • Print ISSN:
    0028-2804
Abstract
© 2019, The Author(s). Background: Progressive cognitive deficits are the main clinical symptom of Alzheimer’s disease; however, the precise recording of cognitive deficits and assessment of their progression pose major problems in patient care and early interventions. Objective: Which problems for care and early intervention result from the current practice of cognitive assessment of patients with memory problems and which opportunities arise from the use of mobile apps? Material and methods: Evaluation of current care structures, discussion of basic work, expert recommendations and current developments. Results: The current practice of the pencil and paper-based diagnostics of cognitive deficits, which is temporally and spatially bound to a clinical environment, constrains the feasibility, validity and reliability of cognitive assessment and the quantification of progression. This limits the meaningful use of further diagnostic measures, such as magnetic resonance imaging (MRI) and cerebrospinal fluid (CSF) analyses. Recent progress in mobile app-based technologies, illustrated here with the example of the neotiv app, can help to overcome these problems. Conclusion: Mobile app-based technologies can help to improve the cognitive assessment of patients with the main symptom of memory complaints. They can reduce overuse and underuse of diagnostic and therapeutic pathways and enable a targeted and meaningful use of advanced diagnostics. In addition, they can structure risk-modifying preventive measures, identify iatrogenic impairment of cognition and in this respect also strengthen patient competence.
Publication data is maintained in RPS. Visit https://rps.ucl.ac.uk
 More search options
UCL Researchers
Author
Institute of Cognitive Neuroscience
University College London - Gower Street - London - WC1E 6BT Tel:+44 (0)20 7679 2000

© UCL 1999–2011

Search by