Medication Coder

**Medication Coder:**

This model was designed to extract medication-related information within clinical text and code it with respect to various taxonomies. This pre-trained resolver pipeline is capable of identifying medications and their associated adverse reactions (ADE), as well as linking them to a range of medical coding systems such as RxNorm, UMLS (Unified Medical Language System), NDC (National Drug Code), SNOMED CT (Systematized Nomenclature of Medicine - Clinical Terms), and action/treatment information.

For branded medications, this pipeline provides details regarding action or treatments associated with the identified medications. In the case of non-branded medications, SNOMED codes are provided as part of the output.

Overall, this model serves as a powerful tool in the healthcare domain, enabling the extraction, identification, and resolution of medication-related information and associated codes within clinical texts, facilitating improved analysis, understanding, and utilization of medical information for various healthcare applications.

**Additional Model Information**
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2023/06/21/medication_resolver_pipeline_en.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes, Pharmacovigilance and Medication Information
- **Deployment Identifier:** 41. Medication Coder

**How to run this model:**
1. Acquire a John Snow Labs Pay As You Go (PAYG) license from [Sales](mailto:[e-mail])
2. Import this listing.
3. Use the attached notebook to deploy the model with **41. Medication Coder** as the model parameter. **Do not use the Open button on this page which appears after importing this listing. It will fail to deploy a model and does not work yet, you must use the attached notebook.**.

This model comes with optimized CPU and GPU builds. You can select which one to deploy via the notebook.