Human and System Errors, Using Adaptive Turnaround Documents to Capture Data in a Busy Practice
Identifieur interne : 001236 ( Main/Merge ); précédent : 001235; suivant : 001237Human and System Errors, Using Adaptive Turnaround Documents to Capture Data in a Busy Practice
Auteurs : Stephen M. Downs ; Aaron E. Carroll ; Vibha Anand ; Paul G. BiondichSource :
- AMIA Annual Symposium Proceedings [ 1942-597X ] ; 2005.
Abstract
Capturing coded clinical data for clinical decision support can improve care, but cost and disruption of clinic workflow present barriers to implementation. Previous work has shown that tailored, scannable paper forms (adaptive turnaround documents, ATDs) can achieve the benefits of computer-based clinical decision support at low cost and minimal disruption of workflow. ATDs are highly accurate under controlled circumstances, but accuracy in the setting of busy clinics with untrained physician users is untested. We recently developed and implemented such a system and studied rates of errors attributable to physician users and errors in the system. Prompts were used in 63% of encounters. Errors resulting from incorrectly marking forms occurred in 1.8% of prompts. System errors occurred in 7.2% of prompts. Most system errors were failures to capture data and may represent human errors in the scanning process. ATDs are an effective way to collect coded data from physicians. Further automation of the scanning process may reduce system errors.
Url:
PubMed: 16779032
PubMed Central: 1560802
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PMC:1560802Le document en format XML
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Data in a Busy Practice</title><author><name sortKey="Downs, Stephen M" sort="Downs, Stephen M" uniqKey="Downs S" first="Stephen M." last="Downs">Stephen M. Downs</name></author><author><name sortKey="Carroll, Aaron E" sort="Carroll, Aaron E" uniqKey="Carroll A" first="Aaron E." last="Carroll">Aaron E. Carroll</name></author><author><name sortKey="Anand, Vibha" sort="Anand, Vibha" uniqKey="Anand V" first="Vibha" last="Anand">Vibha Anand</name></author><author><name sortKey="Biondich, Paul G" sort="Biondich, Paul G" uniqKey="Biondich P" first="Paul G." last="Biondich">Paul G. Biondich</name></author></analytic><series><title level="j">AMIA Annual Symposium Proceedings</title><idno type="eISSN">1942-597X</idno><imprint><date when="2005">2005</date></imprint></series></biblStruct></sourceDesc></fileDesc><profileDesc><textClass></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en"><p>Capturing coded clinical data for clinical decision support can improve
care, but cost and disruption of clinic workflow present barriers to
implementation. Previous work has shown that tailored, scannable paper
forms (adaptive turnaround documents, ATDs) can achieve the benefits
of computer-based clinical decision support at low cost and minimal disruption
of workflow. ATDs are highly accurate under controlled circumstances, but
accuracy in the setting of busy clinics with untrained physician
users is untested. We recently developed and implemented such
a system and studied rates of errors attributable to physician users and
errors in the system. Prompts were used in 63% of encounters. Errors
resulting from incorrectly marking forms occurred in 1.8% of
prompts. System errors occurred in 7.2% of prompts. Most
system errors were failures to capture data and may represent human
errors in the scanning process. ATDs are an effective way to collect
coded data from physicians. Further automation of the scanning process
may reduce system errors.</p></div></front></TEI></record>Pour manipuler ce document sous Unix (Dilib)
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