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The Multiple Sclerosis Performance Test (MSPT): An iPad-Based Disability Assessment Tool
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The clinical assessment and remote administration tablet.

Jessica A Turner1, Susan R Lane, H Jeremy Bockholt

  • 1Mind Research Network Albuquerque, NM, USA.

Frontiers in Neuroinformatics
|December 31, 2011
PubMed
Summary

This study introduces a tablet-based system for real-time clinical assessment data capture in remote settings. The tool ensures consistent, efficient, and accountable data collection across research groups, improving neuroimaging study integration.

Keywords:
case report formsclinical assessmentselectronic data capture

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Area of Science:

  • Neuroscience
  • Clinical Research Informatics

Background:

  • Electronic data capture methods for clinical assessments vary widely, from scanned forms to fully electronic systems.
  • Self-assessment is often not feasible for neuropsychiatric evaluations, requiring clinician input which can disrupt interviews if data entry is cumbersome.

Purpose of the Study:

  • To present a prototype software tool for real-time acquisition and validation of clinical assessments in remote environments.
  • To adapt a tablet system for seamless integration with existing large-scale neuroimaging databases.

Main Methods:

  • Development of a clinical assessment and remote administration tablet on a Microsoft Windows PC tablet system.
  • Adaptation of the tablet to interact with data models used in large-scale neuroimaging studies.
  • Deployment and evaluation of the tablet in several large-scale clinical studies.

Main Results:

  • Successful collection and administration of clinical assessments using the tablet system.
  • Demonstrated value in ensuring correct clinical measures are integrated with imaging and other data.
  • Confirmed that data collection across multiple research groups is performed similarly, quickly, and with accountability for incomplete datasets.

Conclusions:

  • The developed tablet system is valuable for real-time clinical assessment data acquisition in remote settings.
  • The tool enhances data integrity and consistency across multi-site research studies.
  • The system facilitates efficient and accountable data collection for neuroimaging research.