ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2024
Refining Substance Use Classification: An Ontological Framework for Enhancing Large-Scale Data Collection.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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
1 citing paper in PubMed.
- An informatics framework to harmonize electronic health record medication data for managed care analytics and artificial intelligence applications.Journal of managed care & specialty pharmacy · 2026Article
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
Substance use disorders (SUD) remain prevalent in the United States. The Office of Addiction Services and Support plays a critical role in tracking SUD trends in New York State and reports data to the federal system. However, ambiguities in substance classification pose challenges to data accuracy and consistency. To address these issues, we developed the foundations for the Addiction Substance Ontology (ASO) using Basic Formal Ontology principles. Definitions in the ASO are expressed in terms of genus and differentiae which form the backbone for a taxonomy of substances in function of their chemical composition and certain other characteristics essential for tracking their acquisition and use. While 143 classes have been developed thus far based on a specific program admission use case, pilot testing and stakeholder collaboration are necessary to refine the ASO and validate its application in real-world settings. These efforts aim to improve data reliability, enhance tracking of SUD patterns, and support effective public health interventions.
Indexed as
Identifiers
41726435PMC12919422What 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.