Meaningful use

NEMT’s Natural Language Processing system mines a physician’s narrative report, pulling discrete, structured data that can be used for:

  • Meeting federal meaningful use benchmarks
  • Coding
  • Clinical research
  • Documentation
NLP vs. Transcription
Traditionally transcribed reports NLP
Provide a PDF or image of the medical report Searches the document itself
Must be read by a healthcare provider, coder, or administrator who manually pulls the key data Seeks out and tags key words and data
Cannot be electronically mined for information Culls information such as allergies, medications and demographics for easy retrieval to help reach federal benchmarks for electronic health records and meaningful use

The HITECH Act of 2009 offers incentive payments to providers and hospitals who adopt electronic health records. Providers who start meeting benchmarks early can earn more incentive payments.

  • $44,000 for Medicare providers
  • $63,750 for Medicaid providers

NEMT’s Natural Language Processing system will help you get there.

To earn payments, providers must collect electronic data on patient:

  • Gender
  • Preferred language
  • Race
  • Height
  • Weight
  • Smoking status
  • Allergies
  • Medications

NLP collects these facts automatically.

Physicians dictate reports in their usual style and NLP tags the key facts so providers can:

  • Meet the federal mandates
  • Gather data for coding and research.
  • Earn federal payments
  • Streamline and optimize their entire EHR process


NEMT’s Natural Language Processing system is offered as an additional service to enhance our transcribed reports. Pricing is determined by account volume and turnaround time.