Optimizing best practice advisory alerts in electronic medical records with a multi-pronged strategy at a tertiary care hospital in Singapore
Open accessAbstract
Objective: Clinical decision support (CDS) alerts can aid in improving patient care. One CDS functionality is the Best Practice Advisory (BPA) alert notification system, wherein BPA alerts are automated alerts embedded in the hospital’s electronic medical records (EMR). However, excessive alerts can change clinician behavior; redundant and repetitive alerts can contribute to alert fatigue. Alerts can be optimized through a multipronged strategy. Our study aims to describe these strategies adopted and evaluate the resultant BPA alert optimization outcomes. Materials and Methods: This retrospective single-center study was done at Jurong Health Campus. Aggregated, anonymized data on patient demographics and alert statistics were collected from January 1, 2018 to December 31, 2021. “Preintervention” period was January 1–December 31, 2018, and “postintervention” period was January 1–December 31, 2021. The intervention period was the intervening period. Categorical variables were reported as frequencies and proportions and compared using the chi-square test. Continuous data were reported as median (interquartile range, IQR) and compared using the Wilcoxon rank-sum test. Statistical significance was defined at P < .05. Results: There was a significant reduction of 59.6% in the total number of interruptive BPA alerts, despite an increase in the number of unique BPAs from 54 to 360 from pre- to postintervention. There was a 74% reduction in the number of alerts from the 7 BPAs that were optimized from the pre- to postintervention period. There was a significant increase in percentage of overall interruptive BPA alerts with action taken (8 [IQR 7.7–8.4] to 54.7 [IQR 52.5–58.9], P-value < .05) and optimized BPAs with action taken (32.6 [IQR 32.3–32.9] to 72.6 [IQR 64.3–73.4], P-value < .05). We estimate that the reduction in alerts saved 3600 h of providers’ time per year. Conclusions: A significant reduction in interruptive alert volume, and a significant increase in action taken rates despite manifold increase in the number of unique BPAs could be achieved through concentrated efforts focusing on governance, data review, and visualization using a system-embedded tool, combined with the CDS Five Rights framework, to optimize alerts. Improved alert compliance was likely multifactorial—due to decreased repeated alert firing for the same patient; better awareness due to stakeholders’ involvement; and less fatigue since unnecessary alerts were removed. Future studies should prospectively focus on patients’ clinical chart reviews to assess downstream effects of various actions taken, identify any possibility of harm, and collect end-user feedback regarding the utility of alerts.
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Previous research has shown interruptive alert optimization by using strategies of eliciting end-user feedback, reducing alert volume, and reducing inappropriate firing of alerts, similar to the themes identified by participants in our study.
“Previous research has shown interruptive alert optimization by using strategies of eliciting end-user feedback, reducing alert volume, and reducing inappropriate firing of alerts, similar to the themes identified by participants in our study. 34 35 36 37”
From Qualitative Study of Inpatient Hospital Medicine Interruptive Alerts and Clinical Decision Support (2026) · cites this paper as [34]
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Fallon, A., Haralambides, K., Mazzillo, J., & Gleber, C. (2024) · Applied Clinical Informatics · doi:10.1055/a-2226-8144 · Cited by 22 · see citing works
Qualitative Study of Inpatient Hospital Medicine Interruptive Alerts and Clinical Decision Support
Khan, A., & Schnipper, J. (2026) · Applied Clinical Informatics · doi:10.1055/a-2955-9555
- Authors
- Ng, H. J. H., Kansal, A., Abdul Naseer, J. F., Hing, W. C., Goh, C. J. M., Poh, H., D’souza, J. L. A., Lim, E. L., & Tan, G.
- Affiliations
- Ng Teng Fong General Hospital (SG)
- Department of Medical Informatics, Ng Teng Fong General Hospital , Singapore, Singapore
- Corresponding author
- Ng, Hannah Jia Hui
- Venue
- JAMIA Open
- Publisher
- Oxford University Press (OUP)
- Published
- 2023-07-04
- Volume
- 6
- Issue
- 3
- Pages
- ooad056-ooad056
- ISSN
- 2574-2531 (ISSN-L)
- PMC
- PMC10393867
- OpenAlex
- W4385443247
- Cited by
- 37
- References
- 3
- Citations by year
- 2026: 14 · 2025: 15 · 2024: 5 · 2023: 3
- FWCI
- 7.13
- Type
- journal article
- Language
- en
- Open access
- gold
- doi.org
- Licence
- Locations
- JAMIA Open (publishedVersion, cc-by-nc)
- PubMed Central (publishedVersion, cc-by-nc)
- PubMed (publishedVersion)
- National University of Singapore (submittedVersion)
- Topics
- Health Sciences › Health Professions › Health Information Management › Electronic Health Records Systems
- Health Sciences › Medicine › Surgery › Healthcare Technology and Patient Monitoring
- Health Sciences › Health Professions › Health Information Management › Medical Coding and Health Information
- Keywords
- clinical decision support alerts, alarm fatigue, electronic health records, interruptive alerts, tertiary care hospital, Southeast Asia
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