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Amazon Sagemaker

Amazon SageMaker is a fully-managed platform that enables developers and data scientists to quickly and easily build, train, and deploy machine learning models at any scale. With Amazon SageMaker, all the barriers and complexity that typically slow down developers who want to use machine learning are removed. The service includes models that can be used together or independently to build, train, and deploy your machine learning models.

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Extract Drugs and RxNorm Codes Free trial

Latest Version:
5.2.8
Detects drugs and maps them to the corresponding RxNorm codes and drug classes.

    Product Overview

    This model was created to facilitate the accurate mapping of drugs to their corresponding RxNorm codes and related drug classes. It is an essential tool for healthcare professionals and pharmacists, ensuring precise medication identification and categorization, which is crucial for patient safety, medication management, and healthcare interoperability.

    Key Data

    Type
    Model Package
    Fulfillment Methods
    Amazon SageMaker

    Highlights

    • Key Features:

      • The model accurately maps various drug names, including brand and generic names, to their respective RxNorm codes. RxNorm, developed by the National Library of Medicine, provides standardized nomenclature for medications, aiding in clear and consistent drug identification.
      • In addition to mapping drugs to RxNorm codes, the model identifies the related RxNorm drug class, providing essential information about the pharmacological classification of each medication. This feature is useful for understanding the therapeutic uses and mechanisms of action of different drugs.
    • The model can interpret a wide range of drug-related terminology from diverse sources, including electronic health records, prescription data, and pharmacological literature. By providing accurate drug classifications, the model assists healthcare professionals in better understanding drug interactions, contraindications, and appropriate medication regimens, enhancing patient care and safety.

    • This model can be used in pharmacy management to simplify medication dispensing and inventory management through the provision of standardized drug information. It can also be used to enhance Electronic Health Records (EHR) systems by incorporating precise drug coding, resulting in improved medication reconciliation and clinical decision support. Furthermore, it can assist in healthcare data analytics by facilitating the analysis of medication data for research purposes, policy-making, and the improvement of healthcare quality.

    Not quite sure what you’re looking for? AWS Marketplace can help you find the right solution for your use case. Contact us

    Pricing Information

    Use this tool to estimate the software and infrastructure costs based your configuration choices. Your usage and costs might be different from this estimate. They will be reflected on your monthly AWS billing reports.

    Contact us to request contract pricing for this product.


    Estimating your costs

    Choose your region and launch option to see the pricing details. Then, modify the estimated price by choosing different instance types.

    Version
    Region

    Software Pricing

    Model Realtime Inference$9.84/hr

    running on ml.m4.xlarge

    Model Batch Transform$9.84/hr

    running on ml.m4.xlarge

    Infrastructure Pricing

    With Amazon SageMaker, you pay only for what you use. Training and inference is billed by the second, with no minimum fees and no upfront commitments. Pricing within Amazon SageMaker is broken down by on-demand ML instances, ML storage, and fees for data processing in notebooks and inference instances.
    Learn more about SageMaker pricing

    SageMaker Realtime Inference$0.24/host/hr

    running on ml.m4.xlarge

    SageMaker Batch Transform$0.24/host/hr

    running on ml.m4.xlarge

    About Free trial

    Try this product for 15 days. There will be no software charges, but AWS infrastructure charges still apply. Free Trials will automatically convert to a paid subscription upon expiration.

    Model Realtime Inference

    For model deployment as Real-time endpoint in Amazon SageMaker, the software is priced based on hourly pricing that can vary by instance type. Additional infrastructure cost, taxes or fees may apply.
    InstanceType
    Realtime Inference/hr
    ml.m4.xlarge
    Vendor Recommended
    $9.84

    Usage Information

    Model input and output details

    Input

    Summary

    To use this model you need to provide input in one of the following supported formats:

    1. Single Text Document Provide a single text document as a string. { "text": "Single text document" }
    2. Array of Text Documents Use an array containing multiple text documents. Each element represents a separate text document. { "text": [
       "Text document 1",
       "Text document 2",
       ...
      ] }
    Input MIME type
    application/json
    Sample input data

    Output

    Summary

    The output consists of a JSON object with the following structure: { "predictions": [ { "document": "Text of the document 1", "ner_chunk": "Named Entity 1", "begin": Start Index, "end": End Index, "ner_label": "Label 1", "rxnorm_code": code }, ... ] }

    Output MIME type
    application/json
    Sample output data

    Additional Resources

    End User License Agreement

    By subscribing to this product you agree to terms and conditions outlined in the product End user License Agreement (EULA)

    Support Information

    Extract Drugs and RxNorm Codes

    For any assistance, please reach out to support@johnsnowlabs.com.

    AWS Infrastructure

    AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.

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    Refund Policy

    No refunds are possible.

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