ArticleJournal of the American Medical Informatics Association : JAMIA2025
A resource for Logical Observation Identifiers Names and Codes terms that may be associated with identifying information.
Article in Journal of the American Medical Informatics Association : JAMIA, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
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
0 citing papers in PubMed.
No citing paper in PubMed yet.
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
objectivesThe primary objective was to compile a comprehensive list of Logical Observation Identifiers Names and Codes (LOINC) terms that may be associated with patient, healthcare provider, and healthcare facility identifying information. MATERIALS AND
methodsWe developed a 2-step procedure for identifying LOINC terms, which consists of a keyword search of Long Common Names and filtering on selected property values, followed by expert physician review to confirm and categorize the terms.
resultsThe final list comprises 1309 LOINC terms potentially associated with identifying information of patients, providers, and facilities. This list is publicly available on GitHub. DISCUSSION: Compared with electronic health record data coded with other terminologies, LOINC-coded data present unique challenges for deidentification, and a resource of LOINC terms that may be associated with identifying information will be helpful for this purpose.
conclusionThis resource is valuable for deidentifying LOINC-coded data, ensuring compliance with the Health Insurance Portability and Accountability Act (HIPAA), and preserving the privacy of patients, providers, and facilities.
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.