1 / 12

Implementing technology for clinical assessment: opportunities and challenges

Explore opportunities and challenges in implementing technology for clinical assessment. Learn from the Deep and Frequent Phenotyping Study and multidisciplinary collaborative projects. Discover methods, results, and next steps in adopting technology for cognitive and functional assessment. Find practical solutions for implementing patient-centered technology in routine clinical practice. Utilize the CeHRes Roadmap for successful technology integration.

diazc
Download Presentation

Implementing technology for clinical assessment: opportunities and challenges

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript

  1. Implementing technology for clinical assessment: opportunities and challenges Gemma Stringer Manchester Dementia Clinical Research Group Division of Neuroscience and Experimental Psychology

  2. Manchester Dementia Clinical Research GroupClinical Research Portfolio Finding the problems…. And treating them… Interventions

  3. Manchester Dementia Clinical Research GroupClinical Research Portfolio Finding the problems…. And treating them… Interventions

  4. Deep and Frequent Phenotyping Study • Collaborators – UoM, Cambridge, Oxford, Edinburgh, Newcastle, KCL • Funding: NIHR and MRC • Dementias Platform UK • 250 participants (some at risk of developing AD) over 12 months • The tests will involve: • Movement and walking (gait) assessments using wearable devices • Ophthalmological assessments • Magnetic Resonance Imaging (MRI) • Magnetoencephalography(MEG) and electroencephalogram (EEG) • Positron emission tomography (PET) • Thinking and memory (cognitive) assessments • Clinical assessments including blood and urine samples and cerebrospinal fluid. • Development of a multi-modal marker set for measurement of change and its prevention or modification in AD. http://www.dementiasplatform.uk/the-deep-and-frequent-phenotyping-study/

  5. Multidisciplinary collaborative project • Funding: EPSRC • Objective: To investigate the potential of measuring computer use as a marker of change in cognitive and functional ability

  6. Methodology

  7. Results • A number of computer use behaviours (keystrokes, mouse clicks, pixel count etc) were shown to be different between MCI/mild AD and HCs • Computer use behaviours were related to scores on cognitive tests and measures of functional capacity NB. Hierarchical regression models showed that participants age and number of years of computer use could not account for these effects.

  8. Results • Combined computer-use behaviours (pauses, keystrokes, mouse clicks) predict functional abilities • High sensitivity and specificity for cognitive impairment • e.g. ‘Text’ keystrokes per min 91% correct classification of cognitive impairment (90% sensitivity and 78% specificity) ROC analysis for pauses (per min), ‘Text’ keystrokes (per min) and total mouse clicks.

  9. Next steps for SAMS • Complete the longitudinal data analysis • Apply for further funding to develop the software and validate in a large sample • Opportunities: • Implement SAMS in other clinical trials • Henry Brodaty - Centre for Healthy Brain Aging, Sydney • Deep and Frequent Phenotyping

  10. Challenges (Valley of Death) • Ensuring that the academic aspirations of all collaborative teams are translated into the research objectives • Clinical motivation = positive outcomes for patients • How to develop a proof of concept software for routine clinical practice/the home • Finding funding for implementation • Bridging the gap between proof of concept and implementation with patient group • Finding an industry partner to develop a proof of concept

  11. Possible solutions • Create solutions to problems that are patient-led rather than tech-led • Think about the next steps (next grant) at the earliest stage • Consider the academic priorities of all collaborators and integrate this into the objectives • Design software that can be developed after proof of concept • Involve industrial partners who want an active role in proof of concept studies • Maintain communication between collaborators to keep momentum after the end of the project • Utilise the CeHRes Roadmap (or new NeuroD roadmap) when designing the study

  12. CeHRes Roadmap • Contextual Inquiry: understanding prospective users and their context, analyze strong and weak points of current provision of care. • Value Specification: determine which values the different stakeholders deem important and translate into user requirements. • Design: develop prototype technology based on requirements, cooperative design with prospective users and stakeholders. • Operationalization: launch technology, marketing plans, organizational working procedures. • Summative Evaluation: evaluation: how is it being used? what is its effect on patients and healthcare? http://www.ehealthresearchcenter.org/wiki/index.php/Main_Page

More Related