Literature DB >> 29514353

The Value of Monitoring Clinical Decision Support Interventions.

Eileen Yoshida, Shirley Fei, Karen Bavuso, Charles Lagor, Saverio Maviglia.   

Abstract

BACKGROUND: Well-functioning clinical decision support (CDS) can facilitate provider workflow, improve patient care, promote better outcomes, and reduce costs. However, poorly functioning CDS may lead to alert fatigue, cause providers to ignore important CDS interventions, and increase provider dissatisfaction.
OBJECTIVE: The purpose of this article is to describe one institution's experience in implementing a program to create and maintain properly functioning CDS by systematically monitoring CDS firing rates and patterns.
METHODS: Four types of CDS monitoring activities were implemented as part of the CDS lifecycle. One type of monitoring occurs prior to releasing active CDS, while the other types occur at different points after CDS activation.
RESULTS: Two hundred and forty-eight CDS interventions were monitored over a 2-year period. The rate of detecting a malfunction or significant opportunity for improvement was 37% during preactivation and 18% during immediate postactivation monitoring. Monitoring also informed the process of responding to user feedback about alerts. Finally, an automated alert detection tool identified 128 instances of alert pattern change over the same period. A subset of cases was evaluated by knowledge engineers to identify true and false positives, the results of which were used to optimize the tool's pattern detection algorithms.
CONCLUSION: CDS monitoring can identify malfunctions and/or significant improvement opportunities even after careful design and robust testing. CDS monitoring provides information when responding to user feedback. Ongoing, continuous, and automated monitoring can detect malfunctions in real time, before users report problems. Therefore, CDS monitoring should be part of any systematic program of implementing and maintaining CDS. Schattauer GmbH Stuttgart.

Entities:  

Mesh:

Year:  2018        PMID: 29514353      PMCID: PMC5842071          DOI: 10.1055/s-0038-1632397

Source DB:  PubMed          Journal:  Appl Clin Inform        ISSN: 1869-0327            Impact factor:   2.342


  12 in total

1.  Types of unintended consequences related to computerized provider order entry.

Authors:  Emily M Campbell; Dean F Sittig; Joan S Ash; Kenneth P Guappone; Richard H Dykstra
Journal:  J Am Med Inform Assoc       Date:  2006-06-23       Impact factor: 4.497

2.  Governance for clinical decision support: case studies and recommended practices from leading institutions.

Authors:  Adam Wright; Dean F Sittig; Joan S Ash; David W Bates; Joshua Feblowitz; Greg Fraser; Saverio M Maviglia; Carmit McMullen; W Paul Nichol; Justine E Pang; Jack Starmer; Blackford Middleton
Journal:  J Am Med Inform Assoc       Date:  2011-01-20       Impact factor: 4.497

Review 3.  Clinical decision support systems.

Authors:  Patrick Emanuel Beeler; David Westfall Bates; Balthasar Luzius Hug
Journal:  Swiss Med Wkly       Date:  2014-12-23       Impact factor: 2.193

Review 4.  Clinical decision support alert appropriateness: a review and proposal for improvement.

Authors:  Allison B McCoy; Eric J Thomas; Marie Krousel-Wood; Dean F Sittig
Journal:  Ochsner J       Date:  2014

5.  Duplicate laboratory test reduction using a clinical decision support tool.

Authors:  Gary W Procop; Lisa M Yerian; Robert Wyllie; A Marc Harrison; Kandice Kottke-Marchant
Journal:  Am J Clin Pathol       Date:  2014-05       Impact factor: 2.493

6.  Clinical decisions support malfunctions in a commercial electronic health record.

Authors:  Steven Z Kassakian; Thomas R Yackel; Paul N Gorman; David A Dorr
Journal:  Appl Clin Inform       Date:  2017-09-06       Impact factor: 2.342

7.  Clinical Decision Support Reduces Overuse of Red Blood Cell Transfusions: Interrupted Time Series Analysis.

Authors:  Steven Z Kassakian; Thomas R Yackel; Thomas Deloughery; David A Dorr
Journal:  Am J Med       Date:  2016-02-09       Impact factor: 4.965

8.  Recommended practices for computerized clinical decision support and knowledge management in community settings: a qualitative study.

Authors:  Joan S Ash; Dean F Sittig; Kenneth P Guappone; Richard H Dykstra; Joshua Richardson; Adam Wright; James Carpenter; Carmit McMullen; Michael Shapiro; Arwen Bunce; Blackford Middleton
Journal:  BMC Med Inform Decis Mak       Date:  2012-02-14       Impact factor: 2.796

9.  A qualitative study of the activities performed by people involved in clinical decision support: recommended practices for success.

Authors:  Adam Wright; Joan S Ash; Jessica L Erickson; Joe Wasserman; Arwen Bunce; Ana Stanescu; Daniel St Hilaire; Morgan Panzenhagen; Eric Gebhardt; Carmit McMullen; Blackford Middleton; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2013-09-02       Impact factor: 4.497

10.  Clinical decision support alert malfunctions: analysis and empirically derived taxonomy.

Authors:  Adam Wright; Angela Ai; Joan Ash; Jane F Wiesen; Thu-Trang T Hickman; Skye Aaron; Dustin McEvoy; Shane Borkowsky; Pavithra I Dissanayake; Peter Embi; William Galanter; Jeremy Harper; Steve Z Kassakian; Rachel Ramoni; Richard Schreiber; Anwar Sirajuddin; David W Bates; Dean F Sittig
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

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  16 in total

1.  A Quality Improvement Initiative to Decrease Platelet Ordering Errors and a Proposed Model for Evaluating Clinical Decision Support Effectiveness.

Authors:  Julia Whitlow Yarahuan; Amy Billet; Jonathan D Hron
Journal:  Appl Clin Inform       Date:  2019-07-10       Impact factor: 2.342

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

Authors:  David Rubins; Adam Wright; Tarik Alkasab; M Stephen Ledbetter; Amy Miller; Rajesh Patel; Nancy Wei; Gianna Zuccotti; Adam Landman
Journal:  J Am Med Inform Assoc       Date:  2019-11-01       Impact factor: 4.497

3.  Optimizing clinical decision support alerts in electronic medical records: a systematic review of reported strategies adopted by hospitals.

Authors:  Bethany A Van Dort; Wu Yi Zheng; Vivek Sundar; Melissa T Baysari
Journal:  J Am Med Inform Assoc       Date:  2021-01-15       Impact factor: 4.497

4.  Joint Design with Providers of Clinical Decision Support for Value-Based Advanced Shoulder Imaging.

Authors:  Michael C Brunner; Scott E Sheehan; Eric M Yanke; Dean F Sittig; Nasia Safdar; Barbara Hill; Kenneth S Lee; John F Orwin; David J Vanness; Christopher J Hildebrand; Michael A Bruno; Timothy J Erickson; Ryan Zea; D Paul Moberg
Journal:  Appl Clin Inform       Date:  2020-02-19       Impact factor: 2.342

5.  Towards a Maturity Model for Clinical Decision Support Operations.

Authors:  Evan W Orenstein; Naveen Muthu; Asli O Weitkamp; Daria F Ferro; Mike D Zeidlhack; Jason Slagle; Eric Shelov; Marc C Tobias
Journal:  Appl Clin Inform       Date:  2019-10-30       Impact factor: 2.342

6.  Improving the Effectiveness of Health Information Technology: The Case for Situational Analytics.

Authors:  Laurie Lovett Novak; Shilo Anders; Kim M Unertl; Daniel J France; Matthew B Weinger
Journal:  Appl Clin Inform       Date:  2019-10-09       Impact factor: 2.342

7.  Physicians Voluntarily Using an EHR-Based CDS Tool Improved Patients' Guideline-Related Statin Prescription Rates: A Retrospective Cohort Study.

Authors:  Timothy S Chang; Ashwin Buchipudi; Gregg C Fonarow; Michael A Pfeffer; Jennifer S Singer; Eric M Cheng
Journal:  Appl Clin Inform       Date:  2019-06-19       Impact factor: 2.342

8.  CDS in a Learning Health Care System: Identifying Physicians' Reasons for Rejection of Best-Practice Recommendations in Pneumonia through Computerized Clinical Decision Support.

Authors:  Barbara E Jones; Dave S Collingridge; Caroline G Vines; Herman Post; John Holmen; Todd L Allen; Peter Haug; Charlene R Weir; Nathan C Dean
Journal:  Appl Clin Inform       Date:  2019-01-02       Impact factor: 2.342

Review 9.  Realistically Integrating Machine Learning Into Clinical Practice: A Road Map of Opportunities, Challenges, and a Potential Future.

Authors:  Ira S Hofer; Michael Burns; Samir Kendale; Jonathan P Wanderer
Journal:  Anesth Analg       Date:  2020-05       Impact factor: 5.108

10.  Impact of Clinical Decision Support on Antibiotic Prescribing for Acute Respiratory Infections: a Cluster Randomized Implementation Trial.

Authors:  Devin Mann; Rachel Hess; Thomas McGinn; Safiya Richardson; Simon Jones; Joseph Palmisano; Sara Kuppin Chokshi; Rebecca Mishuris; Lauren McCullagh; Linda Park; Catherine Dinh-Le; Paul Smith; David Feldstein
Journal:  J Gen Intern Med       Date:  2020-09-01       Impact factor: 5.128

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