Literature DB >> 31373352

Importance of clinical decision support system response time monitoring: a case report.

David Rubins1,2,3, Adam Wright1,2,3, Tarik Alkasab2,3,4, M Stephen Ledbetter1,2,3,5, Amy Miller1,2,3, Rajesh Patel1,2, Nancy Wei2,6, Gianna Zuccotti1,2,3, Adam Landman1,2,7.   

Abstract

Clinical decision support (CDS) systems are prevalent in electronic health records and drive many safety advantages. However, CDS systems can also cause unintended consequences. Monitoring programs focused on alert firing rates are important to detect anomalies and ensure systems are working as intended. Monitoring efforts do not generally include system load and time to generate decision support, which is becoming increasingly important as more CDS systems rely on external, web-based content and algorithms. We report a case in which a web-based service caused significant increase in the time to generate decision support, in turn leading to marked delays in electronic health record system responsiveness, which could have led to patient safety events. Given this, it is critical to consider adding decision support-time generation to ongoing CDS system monitoring programs.
© The Author(s) 2019. Published by Oxford University Press on behalf of the American Medical Informatics Association. All rights reserved. For permissions, please email: journals.permissions@oup.com.

Entities:  

Keywords:  clinical decision support; clinical decision support monitoring; cloud-based integration; computerized provider order entry; system performance monitoring

Mesh:

Year:  2019        PMID: 31373352      PMCID: PMC6798567          DOI: 10.1093/jamia/ocz133

Source DB:  PubMed          Journal:  J Am Med Inform Assoc        ISSN: 1067-5027            Impact factor:   4.497


  15 in total

1.  Improving safety with information technology.

Authors:  David W Bates; Atul A Gawande
Journal:  N Engl J Med       Date:  2003-06-19       Impact factor: 91.245

2.  Proposal for fulfilling strategic objectives of the U.S. Roadmap for national action on clinical decision support through a service-oriented architecture leveraging HL7 services.

Authors:  Kensaku Kawamoto; David F Lobach
Journal:  J Am Med Inform Assoc       Date:  2007-01-09       Impact factor: 4.497

3.  Implementing CDS Hooks Communication in an Arden-Syntax-Based Clinical Decision Support Platform.

Authors:  Martin Spineth; Andrea Rappelsberger; Klaus-Peter Adlassnig
Journal:  Stud Health Technol Inform       Date:  2018

4.  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

5.  An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR.

Authors:  Antje Wulff; Birger Haarbrandt; Erik Tute; Michael Marschollek; Philipp Beerbaum; Thomas Jack
Journal:  Artif Intell Med       Date:  2018-05-09       Impact factor: 5.326

6.  Development of a Service-Oriented Sharable Clinical Decision Support System Based on Ontology for Chronic Disease.

Authors:  Yong Shang; Yu Wang; Ling Gou; Chengkai Wu; Tianshu Zhou; Jing-Song Li
Journal:  Stud Health Technol Inform       Date:  2017

7.  Implementation of a Fast Healthcare Interoperability Resources-Based Clinical Decision Support Tool for Calculating CHA2DS2-VASc Scores.

Authors:  Zameer Abedin; Robert Hoerner; Joseph Habboushe; Yi Lu; Kensaku Kawamoto; Phillip B Warner; David E Shields; Rashmee U Shah
Journal:  Circ Cardiovasc Qual Outcomes       Date:  2020-02-06

Review 8.  Grand challenges in clinical decision support.

Authors:  Dean F Sittig; Adam Wright; Jerome A Osheroff; Blackford Middleton; Jonathan M Teich; Joan S Ash; Emily Campbell; David W Bates
Journal:  J Biomed Inform       Date:  2007-09-21       Impact factor: 6.317

9.  Lessons learned from implementing service-oriented clinical decision support at four sites: A qualitative study.

Authors:  Adam Wright; Dean F Sittig; Joan S Ash; Jessica L Erickson; Trang T Hickman; Marilyn Paterno; Eric Gebhardt; Carmit McMullen; Ruslana Tsurikova; Brian E Dixon; Greg Fraser; Linas Simonaitis; Frank A Sonnenberg; Blackford Middleton
Journal:  Int J Med Inform       Date:  2015-08-20       Impact factor: 4.046

10.  Analysis of clinical decision support system malfunctions: a case series and survey.

Authors:  Adam Wright; Thu-Trang T Hickman; Dustin McEvoy; Skye Aaron; Angela Ai; Jan Marie Andersen; Salman Hussain; Rachel Ramoni; Julie Fiskio; Dean F Sittig; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2016-03-28       Impact factor: 4.497

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  1 in total

1.  A web-based fuzzy risk predictive-decision model of de novo stress urinary incontinence in women undergoing pelvic organ prolapse surgery.

Authors:  Seyyde Yalda Moosavi; Taha Samad-Soltani; Sakineh Hajebrahimi
Journal:  Curr Urol       Date:  2021-08-09
  1 in total

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