Logical Observation Identifiers Names Codes Map to Source Organization

$179 / year

Logical Observation Identifiers Names and Codes (LOINC) is a database and universal standard for identifying medical laboratory observations. This dataset shows the codes which maps to source organization. Mapping each entity-specific code to its corresponding universal code can represent a significant investment of both human and financial capital.


LOINC is a rich catalog of measurements, including laboratory tests, clinical measures like vital signs and anthropomorphic measures, standardized survey instruments, and more. LOINC enables the exchange and aggregation of clinical results for care delivery, outcomes management, and research by providing a set of universal codes and structured names to unambiguously identify things you can measure or observe.
Across 130 sites in the Department of Veterans Affairs Corporate Data Warehouse, we selected the 150 most commonly used laboratory tests with numeric results per site from 2000 through 2016. Using source data text and numeric fields, we developed a machine learning model and manually validated random samples from both labeled and unlabeled datasets. The raw laboratory data consisted of >6.5 billion test results, with 2215 distinct LOINC codes. The model predicted the correct LOINC code in 85% of the unlabeled data and 96% of the labeled data by test frequency. In the subset of labeled data where the original and model-predicted LOINC codes disagreed, the model-predicted LOINC code was correct in 83% of the data by test frequency.

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John Snow Labs; Regenstrief Institute, Inc;

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LOINC Mapping, Proven Models, Brain Mapping

Other Titles

Proven Models to Map Source Organization, Brain Mapping to Source Organization, Map to Source Organization

LOINCLogical Observation Identifiers Names and Codes (LOINC®). LOINC is a common language (set of identifiers, names, and codes) for clinical and laboratory observations.string-
Map_ToA replacement term that is to be used in place of the deprecated or discouraged term.string-
CommentNarrative text that explains the rational for using the recommended replacement term.string-
LOINCMap ToComment
1202-188047-6P sup(k) Ag [Presence] on Red Blood Cells from Blood product unit
1203-988048-4P sup(k) Ag [Presence] on Red Blood Cells from Donor
1204-788046-8P sup(k) Ag [Presence] on Red Blood Cells
1205-488041-9little p phenotype [Presence] on Red Blood Cells from Blood product unit
1206-288042-7little p phenotype [Presence] on Red Blood Cells from donor
1207-088039-3little p phenotype [Presence] on Red Blood Cells