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

Paul Biondich, Vibha Anand, Stephen Downs, Clement J. McDonald

Research output: Contribution to journalArticle

24 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)86-90
Number of pages5
JournalAMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium
StatePublished - 2003

Fingerprint

Workflow
Point-of-Care Systems
Preventive Medicine
Pediatrics

Cite this

@article{ffe6029480ae4f80913f991933f82317,
title = "Using adaptive turnaround documents to electronically acquire structured data in clinical settings.",
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.",
author = "Paul Biondich and Vibha Anand and Stephen Downs and McDonald, {Clement J.}",
year = "2003",
language = "English",
pages = "86--90",
journal = "AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium",
issn = "1559-4076",
publisher = "American Medical Informatics Association",

}

TY - JOUR

T1 - Using adaptive turnaround documents to electronically acquire structured data in clinical settings.

AU - Biondich, Paul

AU - Anand, Vibha

AU - Downs, Stephen

AU - McDonald, Clement J.

PY - 2003

Y1 - 2003

N2 - 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.

AB - 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.

UR - http://www.scopus.com/inward/record.url?scp=16544371249&partnerID=8YFLogxK

UR - http://www.scopus.com/inward/citedby.url?scp=16544371249&partnerID=8YFLogxK

M3 - Article

C2 - 14728139

AN - SCOPUS:16544371249

SP - 86

EP - 90

JO - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

JF - AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium

SN - 1559-4076

ER -