SNOMED Clinical Health Information Coder

**SNOMED Clinical Health Information Coder:**

This model is tailored for the healthcare industry, specifically focusing on the standardization of clinical health information. Utilizing the comprehensive SNOMED taxonomy, the model accurately maps detailed healthcare data, including procedures, measurements, and tests to corresponding SNOMED codes. This model is essential for healthcare providers, medical researchers, and health informatics professionals who require consistency and precision in medical coding and documentation.

**Key Features:**
- Efficiently extracts and categorizes key clinical concepts such as procedures, measurements and tests. It then maps them to appropriate SNOMED codes with high accuracy.
- Offers an advanced breakdown of metadata into 'ground truth', 'concept', and 'aux' labels, enhancing understanding and utility of the coded data.

Can be used for healthcare data standardization as it automatically detects the SNOMED codes to associate with your medical records, aiding in global interoperability and data sharing.
In the domain of clinical research, it can assist in the categorization and analysis of clinical data for research and study purposes.
In the area od medical informatics the model can enhance the quality of health informatics systems by providing accurate and consistent medical coding.

**Additional Model Information**
- [Industry Use-Case Demo](https://demo.johnsnowlabs.com/healthcare/ER_SNOMED/)
- [Full model info on John Snow Labs Models Hub](https://nlp.johnsnowlabs.com/2021/06/15/sbiobertresolve_snomed_findings_en.html)
- **Domain:** Clinical Text Analysis
- **Subdomain:** Terminology Codes
- **Predictable entities:** SNOMED Codes
- **Deployment Identifier:** 56. SNOMED Clinical Health Information 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 **56. SNOMED Clinical Health Information 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.

**SNOMED临床健康信息编码器（SNOMED Clinical Health Information Coder）：**
本模型专为医疗健康行业打造，核心聚焦于临床健康信息的标准化工作。依托全面的SNOMED分类系统（SNOMED taxonomy），本模型可将手术操作、检测指标、检验项目等各类细化医疗健康数据，精准映射至对应的SNOMED编码。对于医疗服务提供者、医学研究者以及健康信息学专业人员而言，本模型是实现医疗编码与文档记录一致性、精准性的必备工具。

**核心特性：**
- 高效提取并分类手术操作、检测指标、检验项目等核心临床概念，随后可将其高精度映射至适配的SNOMED编码。
- 支持将元数据按「ground truth（基准真值）」、「concept（概念）」与「aux（辅助）」标签进行精细化拆分，提升编码数据的可理解性与实用价值。

本模型可用于医疗健康数据标准化：通过自动识别与医疗记录关联的SNOMED编码，助力实现全球数据互操作性与数据共享。在临床研究领域，本模型可辅助完成用于科研目的的临床数据分类与分析工作。在医学信息学范畴内，本模型可通过提供精准且一致的医疗编码，提升健康信息学系统的运行质量。

**附加模型信息：**
- 【行业用例演示】(链接：https://demo.johnsnowlabs.com/healthcare/ER_SNOMED/)
- 【John Snow Labs模型中心完整模型信息】(链接：https://nlp.johnsnowlabs.com/2021/06/15/sbiobertresolve_snomed_findings_en.html)
- **所属领域：** 临床文本分析
- **子领域：** 术语编码
- **可预测实体：** SNOMED编码（SNOMED Codes）
- **部署标识：** 56. SNOMED临床健康信息编码器

**模型部署步骤：**
1. 前往[销售对接邮箱](mailto:[e-mail])获取John Snow Labs的按需付费（Pay As You Go, PAYG）许可证
2. 导入本模型条目
3. 使用附带的Jupyter Notebook部署模型，需将**56. SNOMED临床健康信息编码器**作为模型参数传入。**请勿使用导入条目后页面上出现的「打开」按钮，该按钮目前无法正常完成模型部署，必须使用附带的Notebook进行部署。**

本模型提供优化后的CPU与GPU部署版本，您可通过Notebook选择所需的部署类型。