ArticleBMC medical informatics and decision making2013
On the alert: future priorities for alerts in clinical decision support for computerized physician order entry identified from a European workshop.
Article in BMC medical informatics and decision making, 2013. The graph could read no effect estimate from its abstract, so it casts no vote on the map. An erratum has been issued. Cited by 50 papers, 3 of them syntheses that pooled it.
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
50 citing papers in PubMed, 3 syntheses or guidelines pooled it, 109 citations in OpenAlex.
- How intervention studies measure the effectiveness of medication safety-related clinical decision support systems in primary and long-term care: a systematic review.BMC medical informatics and decision making · 2024Pooled it
- Clinical Decision Support Systems for Drug Allergy Checking: Systematic Review.Journal of medical Internet research · 2018Pooled it
- A systematic review of the types and causes of prescribing errors generated from using computerized provider order entry systems in primary and secondary care.Journal of the American Medical Informatics Association : JAMIA · 2017Pooled it
- Randomized controlled trial of a clinical decision support system for painful polyneuropathy.Muscle & nerve · 2020Trial
- Development, Evaluation and Implementation of Chief Complaint Groupings to Activate Data Collection: A Multi-Center Study of Clinical Decision Support for Children with Head Trauma.Applied clinical informatics · 2015Trial
- Integration of artificial intelligence applications in clinical pharmacy services: A scoping review.Future healthcare journal · 2026Review
- Drug-Induced QT Prolongation: Associations Between Risk Classifications in a Swedish Clinical Decision Support System and Clinical Outcomes.Clinical pharmacology and therapeutics · 2026Article
- Designing a Clinical Decision Support Tool to Promote Timely Palliative Care in Heart Failure.medRxiv : the preprint server for health sciences · 2026Article
- Article
- A simulation study to quantitatively assess the performance of electronic prescribing systems in English NHS Hospital Trusts.Scientific reports · 2025Article
- Potential Adverse Drug Events Identified with Decision Support Algorithms from Janusmed Risk Profile-A Retrospective Population-Based Study in a Swedish Region.Pharmacy (Basel, Switzerland) · 2024Article
- Interprofessional Evaluation of a Medication Clinical Decision Support System Prior to Implementation.Applied clinical informatics · 2024Article
- An Assessment of Different Decision Support Software from the Perspective of Potential Drug-Drug Interactions in Patients with Chronic Kidney Diseases.Pharmaceuticals (Basel, Switzerland) · 2024Article
- User-Centered Design and Evaluation of Clinical Decision Support to Improve Early Peanut Introduction: Formative Study.JMIR formative research · 2023Article
- Potential Drug-Related Problems in Pediatric Patients-Describing the Use of a Clinical Decision Support System at Pharmacies in Sweden.Pharmacy (Basel, Switzerland) · 2023Article
- Does acute kidney injury alerting improve patient outcomes?BMC nephrology · 2023Article
- Benefits of electronic charts in intensive care and during a world health pandemic: advantages of the technology age.BMJ open quality · 2023Article
- Potential Drug Interactions in Adults Living in Manaus: A Real-World Comparison of Two Databases, 2019.Turkish journal of pharmaceutical sciences · 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
Corrections and comments
- Erratum issuedFerner, Robin E [corrected to Slee, Ann]; Slee, Ann [corrected to Ferner, Robin E]
Authors and funding
13 authors at 10 institutions in 6 countries.
Funding
Abstract
backgroundClinical decision support (CDS) for electronic prescribing systems (computerized physician order entry) should help prescribers in the safe and rational use of medicines. However, the best ways to alert users to unsafe or irrational prescribing are uncertain. Specifically, CDS systems may generate too many alerts, producing unwelcome distractions for prescribers, or too few alerts running the risk of overlooking possible harms. Obtaining the right balance of alerting to adequately improve patient safety should be a priority.
methodsA workshop funded through the European Regional Development Fund was convened by the University Hospitals Birmingham NHS Foundation Trust to assess current knowledge on alerts in CDS and to reach a consensus on a future research agenda on this topic. Leading European researchers in CDS and alerts in electronic prescribing systems were invited to the workshop.
resultsWe identified important knowledge gaps and suggest research priorities including (1) the need to determine the optimal sensitivity and specificity of alerts; (2) whether adaptation to the environment or characteristics of the user may improve alerts; and (3) whether modifying the timing and number of alerts will lead to improvements. We have also discussed the challenges and benefits of using naturalistic or experimental studies in the evaluation of alerts and suggested appropriate outcome measures.
conclusionsWe have identified critical problems in CDS, which should help to guide priorities in research to evaluate alerts. It is hoped that this will spark the next generation of novel research from which practical steps can be taken to implement changes to CDS systems that will ultimately reduce alert fatigue and improve the design of future systems.
Indexed as
Identifiers
What OpenQuestion holds
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.