ArticleJournal of biomedical informatics2009
Practical experience with the maintenance and auditing of a large medical ontology.
Article in Journal of biomedical informatics, 2009. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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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.
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Who cites it
19 citing papers in PubMed.
- BabelFSH-a toolkit for an effective HL7 FHIR-based terminology provision.Journal of biomedical semantics · 2025Article
- Lightweight predicate extraction for patient-level cancer information and ontology development.BMC medical informatics and decision making · 2017Article
- Workflow Lexicons in Healthcare: Validation of the SWIM Lexicon.Journal of digital imaging · 2017Article
- Utilizing a structural meta-ontology for family-based quality assurance of the BioPortal ontologies.Journal of biomedical informatics · 2016Article
- Leveraging Terminology Services for Extract-Transform-Load Processes: A User-Centered Approach.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2016Article
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- Abstraction networks for terminologies: Supporting management of "big knowledge".Artificial intelligence in medicine · 2015Review
- Design, Development, and Initial Evaluation of a Terminology for Clinical Decision Support and Electronic Clinical Quality Measurement.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2015Article
- Desiderata for healthcare integrated data repositories based on architectural comparison of three public repositories.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Automated UMLS-based comparison of medical forms.PloS one · 2013Article
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- A classification of errors in lay comprehension of medical documents.Journal of biomedical informatics · 2012Article
- A survey of informatics platforms that enable distributed comparative effectiveness research using multi-institutional heterogenous clinical data.Medical care · 2012Article
- Development and evaluation of an ontology for guiding appropriate antibiotic prescribing.Journal of biomedical informatics · 2012Article
- Managing Medical Vocabulary Updates in a Clinical Data Warehouse: An RxNorm Case Study.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- Representing ontogeny through ontology: a developmental biologist's guide to the gene ontology.Molecular reproduction and development · 2010Review
- The state of the art in clinical knowledge management: an inventory of tools and techniques.International journal of medical informatics · 2010Article
- A review of auditing methods applied to the content of controlled biomedical terminologies.Journal of biomedical informatics · 2009Review
Corrections and comments
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Authors and funding
3 authors.
Funding
Abstract
The Medical Entities Dictionary (MED) has served as a unified terminology at New York Presbyterian Hospital and Columbia University for more than 20 years. It was initially created to allow the clinical data from the disparate information systems (e.g., radiology, pharmacy, and multiple laboratories, etc.) to be uniquely codified for storage in a single data repository, and functions as a real time terminology server for clinical applications and decision support tools. Being conceived as a knowledge base, the MED incorporates relationships among local terms, between local terms and external standards, and additional knowledge about terms in a semantic network structure. Over the past two decades, we have sought to develop methods to maintain, audit and improve the content of the MED, such that it remains true to its original design goals. This has resulted in a complex, multi-faceted process, with both manual and automated components. In this paper, we describe this process, with examples of its effectiveness. We believe that our process provides lessons for others who seek to maintain complex, concept-oriented controlled terminologies.
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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.