NDLI: Automation bias in electronic prescribing

Content Provider	Springer Nature : BioMed Central
Author	Lyell, David Magrabi, Farah Raban, Magdalena Z. Pont, L.G. Baysari, Melissa T. Day, Richard O. Coiera, Enrico
Abstract	Background Clinical decision support (CDS) in e-prescribing can improve safety by alerting potential errors, but introduces new sources of risk. Automation bias (AB) occurs when users over-rely on CDS, reducing vigilance in information seeking and processing. Evidence of AB has been found in other clinical tasks, but has not yet been tested with e-prescribing. This study tests for the presence of AB in e-prescribing and the impact of task complexity and interruptions on AB. Methods One hundred and twenty students in the final two years of a medical degree prescribed medicines for nine clinical scenarios using a simulated e-prescribing system. Quality of CDS (correct, incorrect and no CDS) and task complexity (low, low + interruption and high) were varied between conditions. Omission errors (failure to detect prescribing errors) and commission errors (acceptance of false positive alerts) were measured. Results Compared to scenarios with no CDS, correct CDS reduced omission errors by 38.3% (p < .0001, n = 120), 46.6% (p < .0001, n = 70), and 39.2% (p < .0001, n = 120) for low, low + interrupt and high complexity scenarios respectively. Incorrect CDS increased omission errors by 33.3% (p < .0001, n = 120), 24.5% (p < .009, n = 82), and 26.7% (p < .0001, n = 120). Participants made commission errors, 65.8% (p < .0001, n = 120), 53.5% (p < .0001, n = 82), and 51.7% (p < .0001, n = 120). Task complexity and interruptions had no impact on AB. Conclusions This study found evidence of AB omission and commission errors in e-prescribing. Verification of CDS alerts is key to avoiding AB errors. However, interventions focused on this have had limited success to date. Clinicians should remain vigilant to the risks of CDS failures and verify CDS.
Related Links	https://bmcmedinformdecismak.biomedcentral.com/counter/pdf/10.1186/s12911-017-0425-5.pdf
Ending Page	10
Page Count	10
Starting Page	1
File Format	HTM / HTML
ISSN	14726947
DOI	10.1186/s12911-017-0425-5
Journal	BMC Medical Informatics and Decision Making
Issue Number	1
Volume Number	17
Language	English
Publisher	BioMed Central
Publisher Date	2017-03-16
Access Restriction	Open
Subject Keyword	Health Informatics Information Systems and Communication Service Management of Computing and Information Systems Decision support systems Clinical Cognitive biases Complexity Electronic prescribing Medication errors Automation bias Human-computer interaction Human-automation interaction
Content Type	Text
Resource Type	Article
Subject	Health Informatics Computer Science Applications Health Policy
Journal Impact Factor	3.3/2023
5-Year Journal Impact Factor	3.9/2023

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Reduced Verification of Medication Alerts Increases Prescribing Errors.

Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence

OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors

Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design

Risks to patient safety associated with implementation of electronic applications for medication management in ambulatory care - a systematic review

Does the implementation of an electronic prescribing system create unintended medication errors? A study of the sociotechnical context through the analysis of reported medication incidents

Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records

Impact of clinical decision support on controlled substance prescribing

The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis

Automation bias in electronic prescribing

Similar Documents

Reduced Verification of Medication Alerts Increases Prescribing Errors.

Effect of electronic prescribing with formulary decision support on medication tier, copayments, and adherence

OntoPharma: ontology based clinical decision support system to reduce medication prescribing errors

Understanding complex clinical reasoning in infectious diseases for improving clinical decision support design

Risks to patient safety associated with implementation of electronic applications for medication management in ambulatory care - a systematic review

Does the implementation of an electronic prescribing system create unintended medication errors? A study of the sociotechnical context through the analysis of reported medication incidents

Criteria for assessing high-priority drug-drug interactions for clinical decision support in electronic health records

Impact of clinical decision support on controlled substance prescribing

The effects of clinical decision support system for prescribing medication on patient outcomes and physician practice performance: a systematic review and meta-analysis

Automation bias in electronic prescribing