Sold by: John Snow Labs
Deployed on AWS
The Medical Terminology Server offers users the ability to look up standard medical codes from text phrases.
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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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John Snow Labs: The Right Hands for Healthcare
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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.
The Medical Terminology Server supports document search capabilities, allowing users to upload a wide range of file types, including PDF, TXT, DOCX, and DOC.
Once uploaded, the system automatically processes these documents to extract and identify medical entities present in the text. Each recognized medical entity is then resolved and mapped to its appropriate medical terminology (such as SNOMED CT, ICD-10, RxNorm, etc.), helping users quickly understand the clinical concepts contained within their documents and ensuring accurate terminology coding across different file formats.
3 Easy Steps to get started
Subscribe to the product on the AWS Marketplace. Deploy it on a new machine. Once the services are up, you can login to the Terminology Server UI using the following credentials: Username: admin@term.server Password: instance_id (You can find the instance id in the AWS EC2 console)
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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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.
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- Monthly subscription
- $4,400.00/month
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m4.2xlarge | $0.00 |
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No refunds are possible.
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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
Version 4.0.4 :
Added assertion results display to Document Search functionality.
Once the services are up, you can login to the Terminology Server UI using the following credentials: Username: admin@term.server Password: instance_id (You can find the instance id in the AWS EC2 console)
For a step by step installation of the Terminology Service , please see the documentation at https://nlp.johnsnowlabs.com/docs/en/terminology_server/on_aws
Implements AWS Compliance requirements
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.
Once the services are up, you can login to the Terminology Server UI using the following credentials: Username: admin@term.server Password: instance_id (You can find the instance id in the AWS EC2 console)
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_aws
Resources
Vendor resources
Support
Vendor support
Technical support for the Medical Terminology Server by Development Team support@johnsnowlabs.com . Contact AWS-sales-support@johnsnowlabs.com for any non-technical support. 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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Customer reviews
Noorain Fatima
AI medical assistant has transformed clinical reports and now speeds up patient data analysis
Reviewed on Apr 11, 2026
Review from a verified AWS customer
What is our primary use case?
John Snow Labs is a set of AI software tools and platform mainly for healthcare and life science. I use John Snow Labs for medical purposes, including a medical chatbot that is used for medical queries and analyzing clinical reports.
I use the medical chatbot from John Snow Labs to conduct medical queries, ask patients about any concerns they have, and to extract diseases or symptoms. The chatbot will convert text into structured data.
John Snow Labs can be explored in many ways, including life science, bioinformatics, and genomics. It is also used for drug discovery and research to analyze research papers.
The chatbot from John Snow Labs will extract diseases; if patients have any kind of diabetes, fever, or symptoms, it can analyze them with the help of that tool, making it very beneficial to use that chatbot.
John Snow Labs is a set of AI software tools that is very helpful for healthcare and life sciences. In the future, it will assist in bioinformatics and genomics to detect diseases or genes, identify biomarkers, and help in drug development and discovery.
What is most valuable?
The best feature of John Snow Labs is the medical chatbot, which allows me to ask for queries, medical queries, and medical terminology. I also use it for clinical reports to generate and convert text into structured data. I can easily generate clinical reports and lab reports.
Regarding the medical chatbot feature of John Snow Labs, if I input short text, it will convert it into structured data, generating a complete clinical report, which is very beneficial.
John Snow Labs has positively impacted my organization because there have been many changes since I started using it. The workload is almost very less, and even for the employer, there is less chance to do any work. It is also helpful to get results easily and quickly. Whatever report will be generated takes very less time, and for patients, it is very beneficial to get the report earlier.
What needs improvement?
John Snow Labs is working on different algorithms and technical parts, so improvement is required so that the technical aspects will be less, and the algorithms will be easier to understand. It is very difficult for beginners, thus requiring improvement. Moreover, if there is a predominance of Western data, it would be better if it supports Indian data also.
The user interface of John Snow Labs' software is a bit difficult for beginners to work with. Additionally, more Western data are available compared to India's data, so it would be better to support more Indian data.
For how long have I used the solution?
I have been using John Snow Labs for the last six months.
What do I think about the stability of the solution?
John Snow Labs is stable because it is designed for large-scale processing and has a good accuracy rate. It is also a faster process.
What do I think about the scalability of the solution?
The scalability of John Snow Labs is good because it handles large data and is useful for many users, capable of providing millions of records and data.
How are customer service and support?
Customer support for John Snow Labs is very good because via email and phone, I can easily ask questions. If any kind of technical issues arise, I can reach out easily and inquire about product-related questions also.
How was the initial setup?
It takes almost 30 minutes to generate any kind of report with John Snow Labs. It helps in queries also to ask if any patients have any kind of doubt or questions in their mind; they can ask quickly also, making it less time-consuming.
What was our ROI?
I have seen a return on investment with John Snow Labs because it saves time. The employer is not overwhelmed with work, and they have a lot of time to undertake other tasks. It is indeed a time-saving software that is not time-consuming.
What's my experience with pricing, setup cost, and licensing?
The pricing for John Snow Labs is a little bit high, and the licensing procedure is long, so it really requires time to set up.
What other advice do I have?
I advise others to use John Snow Labs because it is a time-saving software that allows for easy identification and analysis of medical data, clinical reports, and generation of lab reports, along with assistance for research paper analysis. I rate John Snow Labs at eight out of 10 because some improvements are still required, particularly in the technical work that needs to be focused on.