Extract information from clinical documents constantly and quickly
SmartCare

Unleashing the Potential of Unstructured Medical Text
Experience the power of SmartCare APIs, a developer-friendly, clinical natural language processing (cNLP) service. Unlocking health data from clinical narrative text has never been easier, and you don’t need any machine-learning expertise to get started.
Clinical Named Entity and Relationship Extraction (NERe)
Our Clinical NERe API allows developers to extract a wide range of essential medical information, encompassing medications, medical conditions, and diagnoses. Select Data’s solution goes beyond mere extraction by establishing fundamental connections to standard medical ontologies such as ICD-10-CM. For example, the term “heart failure” can be linked to the viable code “I50.9,” facilitating standardized and accurate classification. It also captures essential contextual information in the form of entity traits. These traits, such as negation, provide crucial insights into the semantics and nuances associated with the extracted medical information.
Customized
Pipelines
No machine learning experience required
Enjoy the benefits of a fully managed solution with SmartCare APIs. Eliminate the need for server provisioning and the complexities of building, training, and deploying machine learning models. SmartCare empowers developers to focus on what matters most—creating innovative healthcare applications without the hassle.
Advantages
▼

Relevance to Specific Use Cases
Enhanced Accuracy
Every healthcare organization faces challenges and intricacies when dealing with medical text. Customizing the cNLP pipeline enables fine-tuning the algorithms, models, and configurations to adapt to these specific challenges. This customization can lead to improved accuracy in extracting and understanding clinical information.


Integration with Existing Systems
By customizing the cNLP pipeline, it can seamlessly integrate with EHRs or clinical decision support systems, ensuring alignment with the organization’s infrastructure and processes. This integration promotes efficient data utilization and interoperability, enabling smooth operations within the organization.