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Natural Language Processing and ROI


MELAX TECH is the leading Artificial Intelligence (AI) company specializing in innovative Natural Language Processing (NLP) technologies to reduce costs, increase revenue and easily unlock a depth of information to improve clinical quality. Melax Tech case studies have shown a one-third reduction in coding personnel, an 80% reduction in chart reviewers’ workload when doing analytical analyses, and a 98% accuracy in patient clinical condition identification.

Melax Tech tools were developed in association with the University of Texas Health Science Center in Houston. The tools have a proven positive return on investment/ROI, are reasonably priced, and are used and trusted by major pharmaceutical and healthcare clients.


  1. 80 – 90% of all hospital EMR data is in the format of unstructured data

  2. Unstructured data makes data retrieval complex, slow, error-prone and time-consuming.

  3. Retrieving unstructured data requires significant workforce time and personnel.

  4. CODING, regulatory reporting, operational/clinical analyses, quality improvement, patient outcome studies, and research all depend heavily on unstructured data.

  5. Accordingly, retrieving unstructured data in a hospital’s normal course of operations results in:

  6. High personnel requirements and thus high payroll costs

  7. Lost revenue in CODING errors

  8. Significant limitations on the depth, accuracy, and timeliness of core hospital programs such as clinical

  9. Quality improvement, operational excellence, research, population health


  • NLP abstracts unstructured data in an EMR and converts it into structured data, so written documents of all types, such as surgical notes, pathology reports, and history and physicals, become structured data and easily accessed.

  • NLP thus eliminates the arduous analytical retrieval tasks of reviewing individually written documents when analyzing clinical and operational data and, very importantly, when CODING.

Contact us to learn how Melax Tech's technology can help reduce costs, increase revenue and improve clinical information quality.

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