ArticleJournal of biomedical informatics2010
Data visualization speeds review of potential adverse drug events in patients on multiple medications.
Article in Journal of biomedical informatics, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers, 2 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
15 citing papers in PubMed, 2 syntheses or guidelines pooled it.
- Information visualizations of symptom information for patients and providers: a systematic review.Journal of the American Medical Informatics Association : JAMIA · 2019Pooled it
- Visualization approaches to support healthy aging: A systematic review.Journal of innovation in health informatics · 2016Pooled it
- ABiMed: An intelligent and visual clinical decision support system for medication reviews and polypharmacy management.BMC medical informatics and decision making · 2025Article
- Comparing the Value of Data Visualization Methods for Communicating Harms in Clinical Trials.Epidemiologic reviews · 2022Article
- Harms in Systematic Reviews Paper 1: An introduction to research on harms.Journal of clinical epidemiology · 2022Article
- A Web Interface for Antibiotic Prescription Recommendations in Primary Care: User-Centered Design Approach.Journal of medical Internet research · 2021Article
- Big data analysis techniques to address polypharmacy in patients - a scoping review.BMC family practice · 2020Article
- Designing a medication timeline for patients and physicians.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Measuring Practicing Clinicians' Information Literacy. An Exploratory Analysis in the Context of Panel Management.Applied clinical informatics · 2017Article
- Design and evaluation of a software for the objective and easy-to-read presentation of new drug properties to physicians.BMC medical informatics and decision making · 2015Article
- Adoption of clinical decision support in multimorbidity: a systematic review.JMIR medical informatics · 2015Review
- Mining severe drug-drug interaction adverse events using Semantic Web technologies: a case study.BioData mining · 2015Article
- Quantifying the amount of information available in order to prescribe, dispense and administer drugs.British journal of clinical pharmacology · 2014Article
- Sim•TwentyFive: an interactive visualization system for data-driven decision support.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- ADESSA: A Real-Time Decision Support Service for Delivery of Semantically Coded Adverse Drug Event Data.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Patients on multiple medications are at increased risk for adverse drug events. While physicians can reduce this risk by regularly reviewing the side-effect profiles of their patients' medications, this process can be time-consuming. We created a decision support system designed to expedite reviewing potential adverse reactions through information visualization. The system includes a database containing 16,340 unique drug and side-effect pairs, representing 250 common medications. A numeric score is assigned to each pair reflecting the strength of association between drug and effect. Based on these scores, the system generates graphical adverse reaction maps for any user-selected combination of drugs. A study comparing speed and accuracy of retrieving side-effect data using this tool versus UpToDate demonstrated a 60% reduction in time to complete a query (61 s vs. 155 s, p < 0.0001) with no decrease in accuracy. These findings suggest that information visualization can significantly expedite review of potential adverse drug events.
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.