Using Adaptive Turnaround Documents to Electronically Acquire Structured Data in Clinical Settings
Identifieur interne : 001661 ( Main/Exploration ); précédent : 001660; suivant : 001662Using Adaptive Turnaround Documents to Electronically Acquire Structured Data in Clinical Settings
Auteurs : Paul G. Biondich ; Vibha Anand ; Stephen M. Downs ; Clement J. McdonaldSource :
- AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2003.
Abstract
We developed adaptive turnaround documents (ATDs) to address longstanding challenges inherent in acquiring structured data at the point of care. These computer-generated paper forms both request and receive patient tailored information specifically for electronic storage. In our pilot, we evaluated the usability, accuracy, and user acceptance of an ATD designed to enrich a pediatric preventative care decision support system. The system had an overall digit recognition rate of 98.6% (95% CI: 98.3 to 98.9) and a marksense accuracy of 99.2% (95% CI: 99.1 to 99.3). More importantly, the system reliably extracted all data from 56.6% (95% CI: 53.3 to 59.9) of our pilot forms without the need for a verification step. These results translate to a minimal workflow burden to end users. This suggests that ATDs can serve as an inexpensive, workflow-sensitive means of structured data acquisition in the clinical setting.
Url:
PubMed: 14728139
PubMed Central: 1480055
Affiliations:
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Le document en format XML
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<front><div type="abstract" xml:lang="en"><p>We developed adaptive turnaround documents (ATDs) to address longstanding challenges inherent in acquiring structured data at the point of care. These computer-generated paper forms both request and receive patient tailored information specifically for electronic storage. In our pilot, we evaluated the usability, accuracy, and user acceptance of an ATD designed to enrich a pediatric preventative care decision support system. The system had an overall digit recognition rate of 98.6% (95% CI: 98.3 to 98.9) and a marksense accuracy of 99.2% (95% CI: 99.1 to 99.3). More importantly, the system reliably extracted all data from 56.6% (95% CI: 53.3 to 59.9) of our pilot forms without the need for a verification step. These results translate to a minimal workflow burden to end users. This suggests that ATDs can serve as an inexpensive, workflow-sensitive means of structured data acquisition in the clinical setting.</p>
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