Literature DB >> 34820790

Development of a Perioperative Medication-Related Clinical Decision Support Tool to Prevent Medication Errors: An Analysis of User Feedback.

Karen C Nanji1,2,3, Pamela M Garabedian3, Sofia D Shaikh1, Marin E Langlieb1, Aziz Boxwala4, William J Gordon3,5,6, David W Bates3,5,6.   

Abstract

OBJECTIVES: Medication use in the perioperative setting presents many patient safety challenges that may be improved with electronic clinical decision support (CDS). The objective of this paper is to describe the development and analysis of user feedback for a robust, real-time medication-related CDS application designed to provide patient-specific dosing information and alerts to warn of medication errors in the operating room (OR).
METHODS: We designed a novel perioperative medication-related CDS application in four phases: (1) identification of need, (2) alert algorithm development, (3) system design, and (4) user interface design. We conducted group and individual design feedback sessions with front-line clinician leaders and subject matter experts to gather feedback about user requirements for alert content and system usability. Participants were clinicians who provide anesthesia (attending anesthesiologists, nurse anesthetists, and house staff), OR pharmacists, and nurses.
RESULTS: We performed two group and eight individual design feedback sessions, with a total of 35 participants. We identified 20 feedback themes, corresponding to 19 system changes. Key requirements for user acceptance were: Use hard stops only when necessary; provide as much information as feasible about the rationale behind alerts and patient/clinical context; and allow users to edit fields such as units, time, and baseline values (e.g., baseline blood pressure).
CONCLUSION: We incorporated user-centered design principles to build a perioperative medication-related CDS application that uses real-time patient data to provide patient-specific dosing information and alerts. Emphasis on early user involvement to elicit user requirements, workflow considerations, and preferences during application development can result in time and money efficiencies and a safer and more usable system. Thieme. All rights reserved.

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Year:  2021        PMID: 34820790      PMCID: PMC8612871          DOI: 10.1055/s-0041-1736339

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


  50 in total

Review 1.  A review of human factors principles for the design and implementation of medication safety alerts in clinical information systems.

Authors:  Shobha Phansalkar; Judy Edworthy; Elizabeth Hellier; Diane L Seger; Angela Schedlbauer; Anthony J Avery; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2010 Sep-Oct       Impact factor: 4.497

2.  A user-centered framework for redesigning health care interfaces.

Authors:  Constance M Johnson; Todd R Johnson; Jiajie Zhang
Journal:  J Biomed Inform       Date:  2005-02       Impact factor: 6.317

3.  Electronic health record usability: analysis of the user-centered design processes of eleven electronic health record vendors.

Authors:  Raj M Ratwani; Rollin J Fairbanks; A Zachary Hettinger; Natalie C Benda
Journal:  J Am Med Inform Assoc       Date:  2015-06-06       Impact factor: 4.497

4.  Using electronic health record clinical decision support is associated with improved quality of care.

Authors:  Rebecca G Mishuris; Jeffrey A Linder; David W Bates; Asaf Bitton
Journal:  Am J Manag Care       Date:  2014-10-01       Impact factor: 2.229

Review 5.  Intraoperative Clinical Decision Support for Anesthesia: A Narrative Review of Available Systems.

Authors:  Bala G Nair; Eilon Gabel; Ira Hofer; Howard A Schwid; Maxime Cannesson
Journal:  Anesth Analg       Date:  2017-02       Impact factor: 5.108

6.  Standards for reporting qualitative research: a synthesis of recommendations.

Authors:  Bridget C O'Brien; Ilene B Harris; Thomas J Beckman; Darcy A Reed; David A Cook
Journal:  Acad Med       Date:  2014-09       Impact factor: 6.893

Review 7.  A systematic review of near real-time and point-of-care clinical decision support in anesthesia information management systems.

Authors:  Allan F Simpao; Jonathan M Tan; Arul M Lingappan; Jorge A Gálvez; Sherry E Morgan; Michael A Krall
Journal:  J Clin Monit Comput       Date:  2016-08-16       Impact factor: 2.502

Review 8.  Interface, information, interaction: a narrative review of design and functional requirements for clinical decision support.

Authors:  Kristen Miller; Danielle Mosby; Muge Capan; Rebecca Kowalski; Raj Ratwani; Yaman Noaiseh; Rachel Kraft; Sanford Schwartz; William S Weintraub; Ryan Arnold
Journal:  J Am Med Inform Assoc       Date:  2018-05-01       Impact factor: 4.497

9.  Electronic Health Record Alert-Related Workload as a Predictor of Burnout in Primary Care Providers.

Authors:  Megan E Gregory; Elise Russo; Hardeep Singh
Journal:  Appl Clin Inform       Date:  2017-07-05       Impact factor: 2.342

10.  Evaluation of Perioperative Medication Errors and Adverse Drug Events.

Authors:  Karen C Nanji; Amit Patel; Sofia Shaikh; Diane L Seger; David W Bates
Journal:  Anesthesiology       Date:  2016-01       Impact factor: 7.892

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  4 in total

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Authors:  Hannah Rice; Pamela M Garabedian; Kristen Shear; Ragnhildur I Bjarnadottir; Zoe Burns; Nancy K Latham; Denise Schentrup; Robert J Lucero; Patricia C Dykes
Journal:  Appl Clin Inform       Date:  2022-06-29       Impact factor: 2.762

2.  Evaluating a Prototype Clinical Decision Support Tool for Chronic Pain Treatment in Primary Care.

Authors:  Katie S Allen; Elizabeth C Danielson; Sarah M Downs; Olena Mazurenko; Julie Diiulio; Ramzi G Salloum; Burke W Mamlin; Christopher A Harle
Journal:  Appl Clin Inform       Date:  2022-06-01       Impact factor: 2.762

3.  Usability of a perioperative medication-related clinical decision support software application: a randomized controlled trial.

Authors:  Karen C Nanji; Pamela M Garabedian; Marin E Langlieb; Angela Rui; Leo L Tabayoyong; Michael Sampson; Hao Deng; Aziz Boxwala; Rebecca D Minehart; David W Bates
Journal:  J Am Med Inform Assoc       Date:  2022-07-12       Impact factor: 7.942

4.  Clinician Acceptance of Order Sets for Pain Management: A Survey in Two Urban Hospitals.

Authors:  Yifan Liu; Haijing Hao; Mohit M Sharma; Yonaka Harris; Jean Scofi; Richard Trepp; Brenna Farmer; Jessica S Ancker; Yiye Zhang
Journal:  Appl Clin Inform       Date:  2022-04-27       Impact factor: 2.762

  4 in total

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