ArticleAMIA ... Annual Symposium proceedings. AMIA Symposium2007
A rationale for parsimonious laboratory term mapping by frequency.
Article in AMIA ... Annual Symposium proceedings. AMIA Symposium, 2007. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 17 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
17 citing papers in PubMed.
- Assessing the harmonization of structured electronic health record data to reference terminologies and data completeness through data provenance.Learning health systems · 2025Article
- Uncovering Harmonization Potential in Health Care Data Through Iterative Refinement of Fast Healthcare Interoperability Resources Profiles Based on Retrospective Discrepancy Analysis: Case Study.JMIR medical informatics · 2024Article
- Mapping of HIE CT terms to LOINC®: analysis of content-dependent coverage and coverage improvement through new term creation.Journal of the American Medical Informatics Association : JAMIA · 2019Article
- Learning from the crowd while mapping to LOINC.Journal of the American Medical Informatics Association : JAMIA · 2015Article
- Can Unmanned Aerial Systems (Drones) Be Used for the Routine Transport of Chemistry, Hematology, and Coagulation Laboratory Specimens?PloS one · 2015Article
- Learning From the Crowd in Terminology Mapping: The LOINC Experience.Laboratory medicine · 2015Article
- The long road to semantic interoperability in support of public health: experiences from two states.Journal of biomedical informatics · 2014Article
- Evaluating congruence between laboratory LOINC value sets for quality measures, public health reporting, and mapping common tests.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2013Article
- Enabling international adoption of LOINC through translation.Journal of biomedical informatics · 2012Article
- An approach to improve LOINC mapping through augmentation of local test names.Journal of biomedical informatics · 2012Article
- Impact of selective mapping strategies on automated laboratory result notification to public health authorities.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2012Article
- Investigating the semantic interoperability of laboratory data exchanged using LOINC codes in three large institutions.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2011Article
- A characterization of local LOINC mapping for laboratory tests in three large institutions.Methods of information in medicine · 2011Article
- Representing Patient Assessments in LOINC®.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2010Article
- LOINC® - A Universal Catalog of Individual Clinical Observations and Uniform Representation of Enumerated Collections.International journal of functional informatics and personalised medicine · 2010Article
- Embracing change in a health information exchange.AMIA ... Annual Symposium proceedings. AMIA Symposium · 2008Article
- Enhancing laboratory report contents to improve outpatient management of test results.Journal of the American Medical Informatics Association : JAMIAArticle
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
3 authors.
Funding
Abstract
Mapping local observation codes to a standard vocabulary provides a bridge across the many islands of data that reside in isolated systems, but mapping is resource intensive. To help prioritize the mapping effort, we analyzed laboratory results reported over a thirteen month period from five institutions in the Indiana Network for Patient Care. Overall, more than 4,000 laboratory observation codes accounted for almost 49 million results. Of the observations reported in the thirteen months, 80 codes (2%) accounted for 80% of the total volume from all institutions and 784 codes (19%) accounted for 99% of the volume from all institutions. The 244 to 517 observation codes that represented 99% of the volume at each institution also captured all results for more than 99% of the patients at that institution. Our findings suggest that focusing the mapping effort on this modest set of high-yield codes can reduce the barriers to interoperability.
Indexed as
Identifiers
18693941PMC2655785What 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.