How do I validate my mappings using this skill?

The skill provides specific validation commands, such as 'make validate_latvia', to check for missing mappings, duplicates, or inconsistent concept types at the product level.

Can I map multiple product variants simultaneously?

Yes, the skill includes tools like apply_pattern_mappings.py to expand a single mapping decision across all matching product IDs sharing the same presentation patterns.

What is the primary purpose of the map-latvia-drugs skill?

The skill helps users map Latvian national medicinal products to RxNorm standard concepts to facilitate data standardization and interoperability.

How does the skill handle Latin substance names found in Latvian records?

It provides a workflow to translate Latin substance names (e.g., 'warfarinum natricum') into English ('warfarin sodium') before performing RxNorm concept searches.

What happens if a Latvian product has no RxNorm equivalent?

The workflow instructs users to leave the concept fields empty and populate the 'suggestion' field to document the closest possible match or reason for the missing concept.

Latvian Drug Mapping to RxNorm

Name: Latvian Drug Mapping to RxNorm
Author: mi-erasmusmc

bymi-erasmusmc

•

Ciencia de Datos y ML

Maps Latvian medicinal products to RxNorm standard concepts for health data interoperability and clinical research.

The map-latvia-drugs skill is a specialized utility designed to normalize Latvian pharmaceutical data by mapping national medicinal products to the international RxNorm standard. It streamlines the complex process of translating Latin substance names, searching for equivalent RxNorm concepts, and handling product variants with pattern-based mapping tools. This skill is essential for health informatics professionals and researchers working with European Medicines Agency (EMA) data who need to ensure their Latvian datasets are compatible with global clinical terminologies.

Características Principales

01Support for device-aware mapping in mixed-presentation drug folders

021 GitHub stars

03Automated validation of Latvian product folders and mapping schemas

04Pattern-based mapping to efficiently handle multiple pack variants and strengths

05Comprehensive issue triage for unmapped, stale, or inconsistent concepts

06Translation guidance for Latin substance names to English RxNorm equivalents

Casos de Uso

01Normalizing Latvian drug registries for cross-border health data analytics

02Mapping national pharmaceutical products to RxNorm for clinical decision support systems

03Validating and updating legacy pharmaceutical mapping files in a standardized workflow

Características Principales

01Support for device-aware mapping in mixed-presentation drug folders

021 GitHub stars

03Automated validation of Latvian product folders and mapping schemas

04Pattern-based mapping to efficiently handle multiple pack variants and strengths

05Comprehensive issue triage for unmapped, stale, or inconsistent concepts

06Translation guidance for Latin substance names to English RxNorm equivalents

Casos de Uso

01Normalizing Latvian drug registries for cross-border health data analytics

02Mapping national pharmaceutical products to RxNorm for clinical decision support systems

03Validating and updating legacy pharmaceutical mapping files in a standardized workflow