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Using adaptive turnaround documents to electronically acquire structured data in clinical settings.

Paul G Biondich1, Vibha Anand, Stephen M Downs

  • 1Regenstrief Institute for Health Care and Children's Health Services Research, Indiana University School of Medicine, Indianapolis, IN, USA.

AMIA ... Annual Symposium Proceedings. AMIA Symposium
|January 20, 2004
PubMed
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Adaptive turnaround documents (ATDs) improve structured data acquisition at the point of care. This pilot study shows ATDs offer high accuracy and minimal workflow burden for clinical settings.

Area of Science:

  • Clinical Informatics
  • Health Data Management

Background:

  • Acquiring structured data at the point of care presents persistent challenges.
  • Existing methods often lack efficiency and workflow sensitivity.

Purpose of the Study:

  • To evaluate the usability, accuracy, and user acceptance of Adaptive Turnaround Documents (ATDs).
  • To assess ATD performance in enriching a pediatric preventative care decision support system.

Main Methods:

  • Developed computer-generated paper forms (ATDs) for tailored information collection.
  • Pilot testing of ATDs integrated with a pediatric decision support system.
  • Measured digit recognition and marksense accuracy rates.

Main Results:

  • Achieved an overall digit recognition rate of 98.6% (95% CI: 98.3 to 98.9).

Related Experiment Videos

  • Attained a marksense accuracy of 99.2% (95% CI: 99.1 to 99.3).
  • Successfully extracted all data from 56.6% (95% CI: 53.3 to 59.9) of forms without verification.

    • Conclusions:

    • ATDs demonstrate high accuracy and reliability in clinical data acquisition.
    • The system offers a minimal workflow burden, suggesting cost-effectiveness.
    • ATDs represent a promising solution for structured data acquisition in healthcare settings.