MERIC NLP

MERIC NLP is a quick, convenient way to extract textual medical data accurately and at a fraction of the price of other web-based products.

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

MERIC NLP Overview

BATCH
ANALYSIS

This function is geared toward users looking to specify source and destination targets for input text and annotated text results, respectively.

REAL-TIME
ANALYTICS

This interface offers an intuitive layout that’s easy to learn and use. See results within minutes of copying text input and selecting the appropriate NLP pipeline.

APIs

Authorized users are able to integrate clinical analysis functionality into their own applications.

FLEXIBLE
PIPELINES

Multiple pre-built pipelines provide users options when applying clinical methodology to existing text data.

ON PREMIS INSTALLATION

MERIC can be set up as an on-site application or integrated with the user’s existing cloud storage.

AFFORDABILITY

If cost is a concern, be assured MERIC NLP delivers at about half the cost of other web-based options.

HIGH
PERFORMANCE

Backed by the award-winning technology of Melax Tech, MERIC consistently outperforms the competition.

MERIC NLP Pipeline List

Comprehensive Clinical Information

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".