Literature DB >> 27350464

Improving Utilization of Clinical Decision Support Systems by Reducing Alert Fatigue: Strategies and Recommendations.

Mohamed Khalifa1, Ibrahim Zabani1.   

Abstract

Clinical decision support systems (CDSS) are designed to help making clinical decisions regarding the management of patients. CDS alerts can save lives but frequent insignificant ones might cause alert fatigue. Studies discuss that 33% to 96% of clinical alerts are ignored. We categorized best evidence based strategies, to reduce alert fatigue and improve CDSS utilization, into five major areas. Classify alerts in to three main levels; severe, moderate and minor then develop a core set of critical drug to drug interactions. Classify alerts into active and passive groups, where only critical alerts should be interruptive actively while less critical alerts should be non-interruptive to the user. Conduct regular user training on new improvements. Keep monitoring alert response rates and keep ongoing research and improvement efforts. Provide systems with automated feedback and learning mechanisms where frequently ignored and justified alerts could be moved automatically from the active interruptive to the passive non-interruptive model.

Entities:  

Mesh:

Year:  2016        PMID: 27350464

Source DB:  PubMed          Journal:  Stud Health Technol Inform        ISSN: 0926-9630


  20 in total

Review 1.  An overview of clinical decision support systems: benefits, risks, and strategies for success.

Authors:  Reed T Sutton; David Pincock; Daniel C Baumgart; Daniel C Sadowski; Richard N Fedorak; Karen I Kroeker
Journal:  NPJ Digit Med       Date:  2020-02-06

2.  The effect of requesting a reason for non-adherence to a guideline in a long running automated reminder system for PONV prophylaxis.

Authors:  Fabian O Kooij; Toni Klok; Benedikt Preckel; Markus W Hollmann; Jasper E Kal
Journal:  Appl Clin Inform       Date:  2017-03-29       Impact factor: 2.342

3.  Evaluation of User-Interface Alert Displays for Clinical Decision Support Systems for Sepsis.

Authors:  Devida Long; Muge Capan; Susan Mascioli; Danielle Weldon; Ryan Arnold; Kristen Miller
Journal:  Crit Care Nurse       Date:  2018-08       Impact factor: 1.708

4.  The Impact of an Intraoperative Clinical Decision Support Tool to Optimize Perioperative Glycemic Management.

Authors:  Gen Li; Chelsie J K Dietz; Robert E Freundlich; Matthew S Shotwell; Jonathan P Wanderer
Journal:  J Med Syst       Date:  2020-08-21       Impact factor: 4.460

5.  Electronic Alerts Improve Immunization Rates in Two-month-old Premature Infants Hospitalized in the Neonatal Intensive Care Unit.

Authors:  Kimberly D Ernst
Journal:  Appl Clin Inform       Date:  2017-03-01       Impact factor: 2.342

Review 6.  Modulators Influencing Medication Alert Acceptance: An Explorative Review.

Authors:  Janina A Bittmann; Walter E Haefeli; Hanna M Seidling
Journal:  Appl Clin Inform       Date:  2022-08-18       Impact factor: 2.762

7.  Implementation of a Behavioral Economics Electronic Health Record (BE-EHR) Module to Reduce Overtreatment of Diabetes in Older Adults.

Authors:  Hayley M Belli; Sara K Chokshi; Roshini Hegde; Andrea B Troxel; Saul Blecker; Paul A Testa; Judd Anderman; Christina Wong; Devin M Mann
Journal:  J Gen Intern Med       Date:  2020-09-03       Impact factor: 5.128

8.  The effect of a decision support system on the incidence of prescription errors in a PICU.

Authors:  Fatema Hashemi; Thomas G van Gelder; Casper W Bollen; Yves T B Liem; Toine C G Egberts
Journal:  J Clin Pharm Ther       Date:  2021-11-04       Impact factor: 2.145

9.  Impact of a commercial order entry system on prescribing errors amenable to computerised decision support in the hospital setting: a prospective pre-post study.

Authors:  Sarah K Pontefract; James Hodson; Ann Slee; Sonal Shah; Alan J Girling; Robin Williams; Aziz Sheikh; Jamie J Coleman
Journal:  BMJ Qual Saf       Date:  2018-03-23       Impact factor: 7.035

10.  Designing for implementation: user-centered development and pilot testing of a behavioral economic-inspired electronic health record clinical decision support module.

Authors:  Sara Kuppin Chokshi; Hayley M Belli; Andrea B Troxel; Saul Blecker; Caroline Blaum; Paul Testa; Devin Mann
Journal:  Pilot Feasibility Stud       Date:  2019-02-20
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