ArticleBMC medical informatics and decision making2011
Development of a context model to prioritize drug safety alerts in CPOE systems.
Article in BMC medical informatics and decision making, 2011. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 35 papers.
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Who cites it
35 citing papers in PubMed.
- Effects of a computerized feedback intervention on safety performance by junior doctors: results from a randomized mixed method study.BMC medical informatics and decision making · 2013Trial
- Identifying false-positive drug allergy alerts based on drug tolerance assertions: a retrospective study.JAMIA open · 2026Article
- A standard-based taxonomy of features that affect user response to clinical decision support alerts.BMC medical informatics and decision making · 2025Article
- Using shared clinical decision support to reduce adverse drug events and improve patient safety.Frontiers in digital health · 2025Review
- The potential for leveraging machine learning to filter medication alerts.Journal of the American Medical Informatics Association : JAMIA · 2022Article
- Alerts in Clinical Decision Support Systems (CDSS): A Bibliometric Review and Content Analysis.Healthcare (Basel, Switzerland) · 2022Article
- Modulators Influencing Medication Alert Acceptance: An Explorative Review.Applied clinical informatics · 2022Review
- Towards The Automated, Empirical Filtering of Drug-Drug Interaction Alerts in Clinical Decision Support Systems: Historical Cohort Study of Vitamin K Antagonists.JMIR medical informatics · 2021Article
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- Appropriateness of Overridden Alerts in Computerized Physician Order Entry: Systematic Review.JMIR medical informatics · 2020Review
- The safety of computerised prescribing in hospitals.Australian prescriber · 2019Review
- A Potential Answer to the Alert Override Riddle: Using Patient Attributes to Predict False Positive Alerts.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2019Article
- Improvement of drug prescribing in acute kidney injury with a nephrotoxic drug alert system.European journal of hospital pharmacy : science and practice · 2019Article
- Impact of a commercial order entry system on prescribing errors amenable to computerised decision support in the hospital setting: a prospective pre-post study.BMJ quality & safety · 2018Article
- Evidence-based usability design principles for medication alerting systems.BMC medical informatics and decision making · 2018Article
- How do paper and electronic records compare for completeness? A three centre study.Eye (London, England) · 2018Article
- Determinant of successful implementation of Computerized Provider Order Entry (CPOE) system from physicians' perspective: Feasibility study prior to implementation.Electronic physician · 2018Article
- Developing strategies for predicting hyperkalemia in potassium-increasing drug-drug interactions.Journal of the American Medical Informatics Association : JAMIA · 2017Article
- Recommendations for selecting drug-drug interactions for clinical decision support.American journal of health-system pharmacy : AJHP : official journal of the American Society of Health-System Pharmacists · 2016Article
Corrections and comments
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Authors and funding
6 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundComputerized physician order entry systems (CPOE) can reduce the number of medication errors and adverse drug events (ADEs) in healthcare institutions. Unfortunately, they tend to produce a large number of partly irrelevant alerts, in turn leading to alert overload and causing alert fatigue. The objective of this work is to identify factors that can be used to prioritize and present alerts depending on the 'context' of a clinical situation.
methodsWe used a combination of literature searches and expert interviews to identify and validate the possible context factors. The internal validation of the context factors was performed by calculating the inter-rater agreement of two researcher's classification of 33 relevant articles.
resultsWe developed a context model containing 20 factors. We grouped these context factors into three categories: characteristics of the patient or case (e.g. clinical status of the patient); characteristics of the organizational unit or user (e.g. professional experience of the user); and alert characteristics (e.g. severity of the effect). The internal validation resulted in nearly perfect agreement (Cohen's Kappa value of 0.97).
conclusionTo our knowledge, this is the first structured attempt to develop a comprehensive context model for prioritizing drug safety alerts in CPOE systems. The outcome of this work can be used to develop future tailored drug safety alerting in CPOE systems.
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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.