Sold by: John Snow LabsÂ
Deployed on AWS
The Medical Terminology Server offers users the ability to look up standard medical codes from text phrases.
Overview
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Code to Code search
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Term Search, Multiple chunk Search, Filters
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Concept code mappings, grid results, filters
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Product video
The Medical Terminology Server offers users the ability to look up standard medical codes from text phrases. It uses both string matching and embeddings to efficiently search for concepts across multiple vocabularies, with filters that can constrain results to meet your specific needs. The Medical Terminology Server combines up-to-date editions of a wide range of terminologies with extensive supplementary datasets of synonyms, common misspellings, and colloquialisms to provide code mappings for input text, whether it is from the clinical record, patient statements, or other sources of written information about health. In addition to being to select from many standard vocabularies, the Medical Terminology Server is also aware of OMOP CDM conventions. It can also be constrained to only return codes that are OMOP Standard concepts and is able to check any concept for current validity. Batch transaction support makes efficient use of network calls.
Highlights
- Tailored for healthcare, the Medical Terminology Server allows the use on state of the art JSL models that understands the nuances of clinical language and medical terminologies, ensuring that the information it generates is accurate and highly relevant. The Medical Terminology Server comes pre-loaded with all widely used medical terminologies; it offers a robust API and user interface that enable advanced concept search, mapping, and normalization
- The Medical Terminology Server addresses challenges often faced by traditional terminology servers in healthcare: identifying concepts without exact matches by correcting spelling errors and using synonyms; finding the most relevant concept based on clinical context for accurate coding of diagnoses, drugs, treatments, or adverse events; identifying semantically close concepts for terms that may vary in expression, such as ICD-10 descriptions or prescriptions.
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
Ubuntu 22.04
Deployed on AWS
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Financing for AWS Marketplace purchases
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Pricing
Pricing is based on a fixed subscription cost and actual usage of the product. You pay the same amount each billing period for access, plus an additional amount according to how much you consume. The fixed subscription cost is prorated, so you're only charged for the number of days you've been subscribed. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
- $4,400.00/month
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|---|---|
m5.4xlarge Recommended | $0.00 |
m4.2xlarge | $0.00 |
Vendor refund policy
No refunds are possible.
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Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
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Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
For a step by step installation of the Terminology Service , please see the documentation at https://nlp.johnsnowlabs.com/docs/en/terminology_server/on_awsÂ
Additional details
Usage instructions
Steps to get started:
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Subscribe to the product on the AWS Marketplace.
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Once subscribed, deploy it on a new machine; Wait for the services to be active. It can take up to 20 minutes for the initial boot and database download. Once the application is ready, the initial screen will redirect automatically to the application UI landing page where you can start using it.
To check the status, login to the instance and run this command "sudo systemctl status terminology-server.service"
3 Once all the status is active, access the terminology server on http://INSTANCE_IP.
The steps above together with screenshots are also available at https://nlp.johnsnowlabs.com/docs/en/terminology_server/on_awsÂ
Resources
Vendor resources
Support
Vendor support
Technical support for the Medical Terminology Server by Development Team support@johnsnowlabs.com . John Snow Labs also offers professional services to deliver custom data science work that is specific to your needs. Our team of experts is ready to assist you with various tasks, including training custom AI models, developing machine learning pipelines, annotating documents, creating Python notebooks, generating insightful reports, and much more. Our professional services are specifically designed to help you achieve remarkable results without the steep learning curve or overwhelming workload.
AWS infrastructure support
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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