Literature DB >> 11825206

Subjective assessment of usefulness and appropriate presentation mode of alerts and reminders in the outpatient setting.

M A Krall1, D F Sittig.   

Abstract

There is very little known about the limits of alerting in the setting of the outpatient Electronic Medical Record (EMR). We are interested in how users value and prefer such alerts. One hundred Kaiser Permanente primary care clinicians were sent a four-page questionnaire. It contained questions related to the usability and usefulness of different approaches to presenting reminder and alert information. The survey also contained questions about the desirability of six categories of alerts. Forty-three of 100 questionnaires were returned. Users generally preferred an active, more intrusive interaction model for "alerts" and a passive, less intrusive model for order messages and other types of reminders and notifications. Drug related alerts were more highly rated than health maintenance or disease state reminders. Users indicated that more alerts would make the system "more useful" but "less easy to use".

Entities:  

Mesh:

Year:  2001        PMID: 11825206      PMCID: PMC2243416     

Source DB:  PubMed          Journal:  Proc AMIA Symp        ISSN: 1531-605X


  5 in total

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Journal:  JAMA       Date:  2000-09-20       Impact factor: 56.272

  5 in total
  15 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.  Changing clinical practice through patient specific reminders available at the time of the clinical encounter: systematic review and meta-analysis.

Authors:  Tim A Holt; Margaret Thorogood; Frances Griffiths
Journal:  J Gen Intern Med       Date:  2012-03-10       Impact factor: 5.128

3.  Overriding of drug safety alerts in computerized physician order entry.

Authors:  Heleen van der Sijs; Jos Aarts; Arnold Vulto; Marc Berg
Journal:  J Am Med Inform Assoc       Date:  2005-12-15       Impact factor: 4.497

Review 4.  What evidence supports the use of computerized alerts and prompts to improve clinicians' prescribing behavior?

Authors:  Angela Schedlbauer; Vibhore Prasad; Caroline Mulvaney; Shobha Phansalkar; Wendy Stanton; David W Bates; Anthony J Avery
Journal:  J Am Med Inform Assoc       Date:  2009-04-23       Impact factor: 4.497

Review 5.  Computerized clinical decision support for prescribing: provision does not guarantee uptake.

Authors:  Annette Moxey; Jane Robertson; David Newby; Isla Hains; Margaret Williamson; Sallie-Anne Pearson
Journal:  J Am Med Inform Assoc       Date:  2010 Jan-Feb       Impact factor: 4.497

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Authors:  Kai Zheng; Kathleen Fear; Bruce W Chaffee; Christopher R Zimmerman; Edward M Karls; Justin D Gatwood; James G Stevenson; Mark D Pearlman
Journal:  J Am Med Inform Assoc       Date:  2011-04-12       Impact factor: 4.497

7.  Can computer-generated evidence-based care suggestions enhance evidence-based management of asthma and chronic obstructive pulmonary disease? A randomized, controlled trial.

Authors:  William M Tierney; J Marc Overhage; Michael D Murray; Lisa E Harris; Xiao-Hua Zhou; George J Eckert; Faye E Smith; Nancy Nienaber; Clement J McDonald; Fredric D Wolinsky
Journal:  Health Serv Res       Date:  2005-04       Impact factor: 3.402

8.  Impact of nonintrusive clinical decision support systems on laboratory test utilization in a large academic centre.

Authors:  Kevin P Eaton; Natasha Chida; Ariella Apfel; Leonard Feldman; Adena Greenbaum; Susan Tuddenham; Emily A Kendall; Amit Pahwa
Journal:  J Eval Clin Pract       Date:  2018-02-15       Impact factor: 2.431

Review 9.  A knowledge-based taxonomy of critical factors for adopting electronic health record systems by physicians: a systematic literature review.

Authors:  Víctor H Castillo; Ana I Martínez-García; J R G Pulido
Journal:  BMC Med Inform Decis Mak       Date:  2010-10-15       Impact factor: 2.796

10.  Patient- and system-related barriers for the earlier diagnosis of colorectal cancer.

Authors:  Terry L Wahls; Ika Peleg
Journal:  BMC Fam Pract       Date:  2009-09-15       Impact factor: 2.497

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