Mercury Natural Language Processing makes quick work of your medical data extraction projects — accurately and at a fraction of the cost of other web-based products.

Affordable Price

Process large amounts of data inexpensively.
Pricing: $0.005/unit; 100byte/unit

Flexible Pipelines

Five medical pipelines and more added regularly to extract only the data you need

High Performance

Save time and frustration with real-time analysis

On Premise Installation

Deploy Mercury NLP on your own server


MERCURY NLP is Melax Tech’s breakthrough software for Natural Language Processing in healthcare and related industries. Mercury NLP offers users the ability to extract textual data in a simple to use DIY format, backed by our expert data and development support team. Mercury NLP’s pay-per-byte system allows users to automate and speed up data extraction with unparalleled accuracy and flexibility. 

At half of the price of competitors, Mercury NLP allows administrators to continually monitor and refine projects. The results are processes and outputs that can be reproduced by project teammates for better, more reliable analytics reporting.

With five pre-built clinical pipelines and more on the way, users are able to apply a pipeline to text data, process it and see results in record time. Mercury NLP is HIPAA compliant; client data is never divulged to or used by anyone other than client team members.

Pipeline list

This is the most comprehensive pipeline from Melax, which recognizes four primary clinical entities from clinical notes: “medical problems”, “medications”, “treatments”, and “lab tests”, as well as their modifiers, including (1) “negation”, “severity”, “uncertainty”, “condition”, “subject”, and “body location” for “medical problems”, (2) “form”, “dosage”, “strength”, “route”, “duration”, and “frequency” for “medications”; (3) “negation” for “treatments”; and (4) “negation” and “value” for “lab tests”. All “temporal information” associated with primary entities will be extracted as well. Moreover, all extracted primary entities will be mapped to standard codes in corresponding medical terminologies: SNOMED-CT for “medical problems”, RxNorm for “medications”, ICD-10 PCS for “treatments”, and LOINC for “lab tests”. 

This pipeline extracts patients’ medical problems such as diseases and symptoms, together with associated modifiers including “negation”, “severity”, “uncertainty”, “condition”, “subject”, and “body location”, from clinical reports. The recognized diseases/symptoms will be mapped to SNOMED-CT concept IDs. 

This pipeline extracts disease mentions, together with associated modifiers including “negation”, “severity”, “uncertainty”, “condition”, “subject”, and “body location” from clinical reports. The recognized diseases will be mapped to ICD-10 CM codes. 

This pipeline recognizes lab test-related information from clinical reports. Examples of lab tests include panels and tests run on body fluids, procedures performed on a patient,  such as x-rays and biopsies, and vital signs. It will extract numeric values associated with lab tests as well. Extracted lab test entities will be mapped to LOINC codes if applicable. 

This pipeline identifies mentions of medications as well as their signature information including “form”, “dosage”, “strength”, “route”, “duration”, and “frequency”, from clinical reports. It then maps recognized medication/signature information to RxNorm codes. 

This pipeline extracts procedures, as well as other non-medication treatments for patients from clinical reports. Recognized entities will be mapped to ICD-10 procedure codes.

Pricing compared with AWS Comprehend Medical

Mercury NLP

  • $0.005 per unit for all pipelines
  • $0.0 per unit for deploy on user environment
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AWS Comprehend Medical

  • Medical Named Entity and Relationship Extraction (NERe) API
    $0.01 per unit
  • Medical Protected Health Information Data Extraction and Identification (PHId) API
    $$0.0014 per unit
  • Medical ICD-10-CM Ontology Linking API
    $$0.0005 per unit
  • Medical RxNORM Ontology Linking API
    $0.00025 per unit