Literature DB >> 18693853

Relationship of estimated resolution time and computerized clinical reminder adherence.

Sze-Jung Wu1, Mark Lehto, Yuehwern Yih, Jason J Saleem, Bradley N Doebbeling.   

Abstract

Electronic decision support systems are an important tool for improving performance and improving quality of care. We investigated the relationship between physicians' estimated resolution times for computerized clinical reminders and adherence rates in VA outpatient settings. We surveyed 10 expert physician users to assess the resolution times of four targeted CCRs for three cases: pessimistic (worst case), expected (average), and optimistic times (best case). ANOVA test shows that physicians' adherence rates for the four CCRs differed significantly (p = 0.01). CCR adherence rate and resolution time were highly linearly correlated (R-square= 0.876 for the best case, R-square= 0.997 for the average case, and R-square= 0.670 for the worst case). This study suggested that future efforts in designing CCRs need to take resolution time into consideration during design, usability testing and implementation phases.

Entities:  

Mesh:

Year:  2007        PMID: 18693853      PMCID: PMC2655890     

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


  10 in total

1.  Clinician's assessments of outpatient electronic medical record alert and reminder usability and usefulness requirements.

Authors:  Michael A Krall; Dean F Sittig
Journal:  Proc AMIA Symp       Date:  2002

Review 2.  Prospective and retrospective duration judgments: an executive-control perspective.

Authors:  Dan Zakay; Richard A Block
Journal:  Acta Neurobiol Exp (Wars)       Date:  2004       Impact factor: 1.579

3.  Variation in implementation and use of computerized clinical reminders in an integrated healthcare system.

Authors:  Constance H Fung; Juliet N Woods; Steven M Asch; Peter Glassman; Bradley N Doebbeling
Journal:  Am J Manag Care       Date:  2004-11       Impact factor: 2.229

4.  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

5.  Reducing the frequency of errors in medicine using information technology.

Authors:  D W Bates; M Cohen; L L Leape; J M Overhage; M M Shabot; T Sheridan
Journal:  J Am Med Inform Assoc       Date:  2001 Jul-Aug       Impact factor: 4.497

6.  Exploring barriers and facilitators to the use of computerized clinical reminders.

Authors:  Jason J Saleem; Emily S Patterson; Laura Militello; Marta L Render; Greg Orshansky; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2005-03-31       Impact factor: 4.497

7.  Identifying barriers to the effective use of clinical reminders: bootstrapping multiple methods.

Authors:  Emily S Patterson; Bradley N Doebbeling; Constance H Fung; Laura Militello; Shilo Anders; Steven M Asch
Journal:  J Biomed Inform       Date:  2004-12-15       Impact factor: 6.317

8.  VA QUERI informatics paper: information technology for clinical guideline implementation: perceptions of multidisciplinary stakeholders.

Authors:  Stacie Salsbury Lyons; Toni Tripp-Reimer; Bernard A Sorofman; Jane E Dewitt; Bonnie J Bootsmiller; Thomas E Vaughn; Bradley N Doebbeling
Journal:  J Am Med Inform Assoc       Date:  2004-10-18       Impact factor: 4.497

9.  Informatics implementation in the Veterans Health Administration (VHA) healthcare system to improve quality of care.

Authors:  Bradley N Doebbeling; Thomas E Vaughn; Kimberly D McCoy; Peter Glassman
Journal:  AMIA Annu Symp Proc       Date:  2006

10.  Human factors barriers to the effective use of ten HIV clinical reminders.

Authors:  Emily S Patterson; Anh D Nguyen; James P Halloran; Steven M Asch
Journal:  J Am Med Inform Assoc       Date:  2003-10-05       Impact factor: 4.497

  10 in total
  3 in total

1.  Impact of clinical reminder redesign on physicians' priority decisions.

Authors:  Sze-Jung Wu; Mark R Lehto; Yuehwern Yih; Jason J Saleem; B N Doebbeling
Journal:  Appl Clin Inform       Date:  2010-12-29       Impact factor: 2.342

Review 2.  Review of health information technology usability study methodologies.

Authors:  Po-Yin Yen; Suzanne Bakken
Journal:  J Am Med Inform Assoc       Date:  2011-08-09       Impact factor: 4.497

3.  A Framework for Usable and Effective Clinical Decision Support: Experience from the iCPR Randomized Clinical Trial.

Authors:  Joseph Kannry; Lauren McCullagh; Andre Kushniruk; Devin Mann; Daniel Edonyabo; Thomas McGinn
Journal:  EGEMS (Wash DC)       Date:  2015-07-09
  3 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.