ArticleJMIR medical informatics2022
Appropriateness of Alerts and Physicians' Responses With a Medication-Related Clinical Decision Support System: Retrospective Observational Study.
Article in JMIR medical informatics, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.
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Who cites it
10 citing papers in PubMed.
- Exploring primary care providers' perspectives on clinical decision support for venous thromboembolism diagnosis: a qualitative study.BMJ open · 2026Article
- Development of a hybrid artificial intelligence framework for pharmacotherapy optimization.International journal of clinical pharmacy · 2026Article
- Designing a computerized decision support system for asthma chronic disease management in community pharmacies.International journal of clinical pharmacy · 2026Article
- Methodological Development and Assessing Prescribing Determinants Through Cumulative Drug Exposure in Hospitalized Patients: Proof-of-Concept Retrospective Study.JMIR medical informatics · 2026Article
- Specialist physician perspectives on clinical decision support to address secondary vaccine hesitancy.The journal of allergy and clinical immunology. Global · 2026Article
- Drug-Induced QT Prolongation: Associations Between Risk Classifications in a Swedish Clinical Decision Support System and Clinical Outcomes.Clinical pharmacology and therapeutics · 2026Article
- Professional role and hierarchy shape adherence to electronic alerts for laboratory test ordering.Scientific reports · 2026Article
- A multicentric intervention based on nudging for the reduction of potentially unnecessary laboratory tests: insights from a Swiss hospital network.BMC health services research · 2025Observational
- Machine Learning for Targeted Advance Care Planning in Cancer Patients: A Quality Improvement Study.Journal of pain and symptom management · 2024Article
- Construction and effectiveness evaluation of a knowledge-based infectious disease monitoring and decision support system.Scientific reports · 2023Article
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Authors and funding
7 authors.
Funding
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Abstract
backgroundAlert fatigue is unavoidable when many irrelevant alerts are generated in response to a small number of useful alerts. It is necessary to increase the effectiveness of the clinical decision support system (CDSS) by understanding physicians' responses.
objectiveThis study aimed to understand the CDSS and physicians' behavior by evaluating the clinical appropriateness of alerts and the corresponding physicians' responses in a medication-related passive alert system.
methodsData on medication-related orders, alerts, and patients' electronic medical records were analyzed. The analyzed data were generated between August 2019 and June 2020 while the patient was in the emergency department. We evaluated the appropriateness of alerts and physicians' responses for a subset of 382 alert cases and classified them.
resultsOf the 382 alert cases, only 7.3% (n=28) of the alerts were clinically appropriate. Regarding the appropriateness of the physicians' responses about the alerts, 92.4% (n=353) were deemed appropriate. In the classification of alerts, only 3.4% (n=13) of alerts were successfully triggered, and 2.1% (n=8) were inappropriate in both alert clinical relevance and physician's response. In this study, the override rate was 92.9% (n=355).
conclusionsWe evaluated the appropriateness of alerts and physicians' responses through a detailed medical record review of the medication-related passive alert system. An excessive number of unnecessary alerts are generated, because the algorithm operates as a rule base without reflecting the individual condition of the patient. It is important to maximize the value of the CDSS by comprehending physicians' responses.
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