ArticleCureus2025
Physicians' Perspectives on Prescription Alerts: A Journey Towards Reducing Fatigue.
Article in Cureus, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
2 citing papers in PubMed.
- Article
- Injury prevention in fatigue-prone nursing environments: a comprehensive review of strategies centered on work design, human factors engineering, and safety culture.Frontiers in public health · 2026Review
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
8 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Background Alerts in electronic medical records (EMR) and computerized decision support systems play crucial roles in enhancing patient safety by notifying healthcare providers of potential risks. However, an excessive number of alerts can lead to alert fatigue, in which clinicians become desensitized to notifications, potentially compromising patient safety. This study examined the experiences of physicians with alerts, focusing on their perceptions of and challenges posed by alert fatigue. Methods A mixed-methods approach was employed, combining an anonymous questionnaire survey with an interrupted time series (ITS) analysis. This study targeted physicians to gather insights into their experiences of using alerts. Data were collected through a Google Forms survey, and prescription data from the EMR were analyzed to assess the impact of the strategic reduction in non-critical alerts. Based on the survey feedback and research team discussions, the intervention targeted specific alerts contributing to alert fatigue, removing two types: "Powerful Drugs" and "Multiple Prescriptions." Results While 76% of physicians found alerts helpful, 81% reported being overwhelmed by their volume, leading to alert fatigue. Notably, 55% of physicians admitted to dismissing alerts without reading them. The ITS analysis showed that a reduction of approximately 13,000 non-critical alerts per month did not significantly alter prescription behavior. The most problematic alerts were those related to administrative or cost issues, which contributed to the overall fatigue experienced by clinicians. Conclusion This study highlights the significant impact of alert fatigue on healthcare providers and underscores the need for a more streamlined alert system. Healthcare institutions can better manage alert fatigue and improve clinician efficiency and patient safety by focusing on reducing non-critical alerts and incorporating feedback from frontline clinicians.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.