ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2014
Extending the HL7/LOINC Document Ontology Settings of Care.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2014. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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
5 citing papers in PubMed.
- Standardizing Multi-site Clinical Note Titles to LOINC Document Ontology: A Transformer-based Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2023Article
- Normalizing Clinical Document Titles to LOINC Document Ontology: an Initial Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2020Article
- Discovering associations between problem list and practice setting.BMC medical informatics and decision making · 2019Article
- NLP-PIER: A Scalable Natural Language Processing, Indexing, and Searching Architecture for Clinical Notes.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2016Article
- Assessing the adequacy of the HL7/LOINC Document Ontology Role axis.Journal of the American Medical Informatics Association : JAMIA · 2015Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
4 authors.
Funding
Abstract
Given federal mandates recommending document standards, increasing numbers of electronic clinical documents being created, and local initiatives/projects using clinical documents, there is a growing need to better represent clinical document metadata. The HL7/LOINC Document Ontology (DO) was developed to provide a standard representation of clinical document attributes with a multi-axis structure. Prior studies have demonstrated the need for extension of DO axes values and proposed new values for some axes, but significant gaps remain for representing the DO "Setting" axis. This study aimed to extend the "Setting" axis by combining the current values in the DO with values from 5 other sources. Evaluation and refinement by subject matter experts over a series of four iterative sessions resulted in a reorganized hierarchy with 254 additional values from a baseline of 20. Incorporating a comprehensive set of "Settings" in DO provides better representation of clinical information across the healthcare ecosystem.
Indexed as
Identifiers
25954408PMC4419877What 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.