ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2010
ADESSA: A Real-Time Decision Support Service for Delivery of Semantically Coded Adverse Drug Event Data.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2010. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 24 papers, 1 of them a synthesis that pooled it.
What it found
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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
24 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Pooled it
- Leveraging Large Language Models in Extracting Drug Safety Information from Prescription Drug Labels.Drug safety · 2026Article
- Text Mining of Adverse Events in Clinical Trials: Deep Learning Approach.JMIR medical informatics · 2021Article
- Adverse drug event detection using reason assignments in FDA drug labels.Journal of biomedical informatics · 2020Article
- Review
- Annotation and detection of drug effects in text for pharmacovigilance.Journal of cheminformatics · 2018Article
- Ontology-based literature mining and class effect analysis of adverse drug reactions associated with neuropathy-inducing drugs.Journal of biomedical semantics · 2018Article
- Evaluation of a Novel System to Enhance Clinicians' Recognition of Preadmission Adverse Drug Reactions.Applied clinical informatics · 2018Article
- A dataset of 200 structured product labels annotated for adverse drug reactions.Scientific data · 2018Article
- Scaling drug indication curation through crowdsourcing.Database : the journal of biological databases and curation · 2015Article
- Validation of a Crowdsourcing Methodology for Developing a Knowledge Base of Related Problem-Medication Pairs.Applied clinical informatics · 2015Article
- Text mining for adverse drug events: the promise, challenges, and state of the art.Drug safety · 2014Article
- Bridging islands of information to establish an integrated knowledge base of drugs and health outcomes of interest.Drug safety · 2014Article
- Article
- Development of a clinician reputation metric to identify appropriate problem-medication pairs in a crowdsourced knowledge base.Journal of biomedical informatics · 2014Article
- Semantic processing to identify adverse drug event information from black box warnings.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2014Article
- Health care transformation through collaboration on open-source informatics projects: integrating a medical applications platform, research data repository, and patient summarization.Interactive journal of medical research · 2013Article
- Extracting drug indication information from structured product labels using natural language processing.Journal of the American Medical Informatics Association : JAMIA · 2013Article
- Mining FDA drug labels for medical conditions.BMC medical informatics and decision making · 2013Article
- Semantic processing to identify adverse drug event information from black box warnings.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
2 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Evaluating medications for potential adverse events is a time-consuming process, typically involving manual lookup of information by physicians. This process can be expedited by CDS systems that support dynamic retrieval and filtering of adverse drug events (ADE's), but such systems require a source of semantically-coded ADE data. We created a two-component system that addresses this need. First we created a natural language processing application which extracts adverse events from Structured Product Labels and generates a standardized ADE knowledge base. We then built a decision support service that consumes a Continuity of Care Document and returns a list of patient-specific ADE's. Our database currently contains 534,125 ADE's from 5602 product labels. An NLP evaluation of 9529 ADE's showed recall of 93% and precision of 95%. On a trial set of 30 CCD's, the system provided adverse event data for 88% of drugs and returned these results in an average of 620ms.
Indexed as
Identifiers
21346964PMC3041415What 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.