Literature DB >> 16779032

Human and system errors, using adaptive turnaround documents to capture data in a busy practice.

Stephen M Downs1, Aaron E Carroll, Vibha Anand, Paul G Biondich.   

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.

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Mesh:

Year:  2005        PMID: 16779032      PMCID: PMC1560802     

Source DB:  PubMed          Journal:  AMIA Annu Symp Proc        ISSN: 1559-4076


  14 in total

1.  Mining association rules from a pediatric primary care decision support system.

Authors:  S M Downs; M Y Wallace
Journal:  Proc AMIA Symp       Date:  2000

2.  Comparing user acceptance of a computer system in two pediatric offices: a qualitative study.

Authors:  D A Travers; S M Downs
Journal:  Proc AMIA Symp       Date:  2000

3.  Expected value prioritization of prompts and reminders.

Authors:  Stephen M Downs; Hasmet Uner
Journal:  Proc AMIA Symp       Date:  2002

4.  A modern optical character recognition system in a real world clinical setting: some accuracy and feasibility observations.

Authors:  Paul G Biondich; J Marc Overhage; Paul R Dexter; Stephen M Downs; Larry Lemmon; Clement J McDonald
Journal:  Proc AMIA Symp       Date:  2002

5.  Effects of computer-based clinical decision support systems on physician performance and patient outcomes: a systematic review.

Authors:  D L Hunt; R B Haynes; S E Hanna; K Smith
Journal:  JAMA       Date:  1998-10-21       Impact factor: 56.272

6.  Prompting physicians for preventive procedures: a five-year study of manual and computer reminders.

Authors:  R P Harris; M S O'Malley; S W Fletcher; B P Knight
Journal:  Am J Prev Med       Date:  1990 May-Jun       Impact factor: 5.043

7.  A computerized reminder system to increase the use of preventive care for hospitalized patients.

Authors:  P R Dexter; S Perkins; J M Overhage; K Maharry; R B Kohler; C J McDonald
Journal:  N Engl J Med       Date:  2001-09-27       Impact factor: 91.245

8.  Accuracy of Medicare claims data for rheumatologic diagnoses in total hip replacement recipients.

Authors:  Elena Losina; Jane Barrett; John A Baron; Jeffrey N Katz
Journal:  J Clin Epidemiol       Date:  2003-06       Impact factor: 6.437

9.  Child Health Improvement through Computer Automation: the CHICA system.

Authors:  Vibha Anand; Paul G Biondich; Gilbert Liu; Marc Rosenman; Stephen M Downs
Journal:  Stud Health Technol Inform       Date:  2004

10.  Accuracy of Medicare claims-based diagnosis of acute myocardial infarction: estimating positive predictive value on the basis of review of hospital records.

Authors:  Yuka Kiyota; Sebastian Schneeweiss; Robert J Glynn; Carolyn C Cannuscio; Jerry Avorn; Daniel H Solomon
Journal:  Am Heart J       Date:  2004-07       Impact factor: 4.749

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  14 in total

Review 1.  Bridging the inferential gap: the electronic health record and clinical evidence.

Authors:  Walter F Stewart; Nirav R Shah; Mark J Selna; Ronald A Paulus; James M Walker
Journal:  Health Aff (Millwood)       Date:  2007-01-26       Impact factor: 6.301

2.  Leveraging electronic tablets for general pediatric care: a pilot study.

Authors:  V Anand; S McKee; T M Dugan; S M Downs
Journal:  Appl Clin Inform       Date:  2015-01-07       Impact factor: 2.342

3.  You can lead a horse to water: physicians' responses to clinical reminders.

Authors:  Stephen M Downs; Vibha Anand; Tammy M Dugan; Aaron E Carroll
Journal:  AMIA Annu Symp Proc       Date:  2010-11-13

4.  Patient-tailored prioritization for a pediatric care decision support system through machine learning.

Authors:  Jeffrey G Klann; Vibha Anand; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2013-07-25       Impact factor: 4.497

5.  Pediatricians' responses to printed clinical reminders: does highlighting prompts improve responsiveness?

Authors:  Kristin S Hendrix; Stephen M Downs; Aaron E Carroll
Journal:  Acad Pediatr       Date:  2015-01-22       Impact factor: 3.107

6.  The CHICA smoking cessation system.

Authors:  Stephen M Downs; Vivienne Zhu; Vibha Anand; Paul G Biondich; Aaron E Carroll
Journal:  AMIA Annu Symp Proc       Date:  2008-11-06

7.  Experience with decision support system and comfort with topic predict clinicians' responses to alerts and reminders.

Authors:  Nerissa S Bauer; Aaron E Carroll; Chandan Saha; Stephen M Downs
Journal:  J Am Med Inform Assoc       Date:  2015-11-13       Impact factor: 4.497

8.  Computer Decision Support Changes Physician Practice But Not Knowledge Regarding Autism Spectrum Disorders.

Authors:  N S Bauer; A E Carroll; C Saha; S M Downs
Journal:  Appl Clin Inform       Date:  2015-07-15       Impact factor: 2.342

9.  Pediatric decision support using adapted Arden Syntax.

Authors:  Vibha Anand; Aaron E Carroll; Paul G Biondich; Tamara M Dugan; Stephen M Downs
Journal:  Artif Intell Med       Date:  2015-10-01       Impact factor: 5.326

10.  Understanding why clinicians answer or ignore clinical decision support prompts.

Authors:  A E Carroll; V Anand; S M Downs
Journal:  Appl Clin Inform       Date:  2012-08-01       Impact factor: 2.342

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