Infographic - NLP Suspecting

Features


Best-in-Class NLP Engine


  • Don’t settle for off the shelf. Edifecs NLP has processed over 3.1 billion pages of clinical documentation
  • Experience the impact of transitioning from working off of 20-30% of available data to >90%
  • Clinically focused, machine learning-driven development with expert oversight ensures Edifecs NLP technology is on a trajectory of continuous, industry leading performance
  • Understands the complexities of clinical language -- including grammar, syntax, context, and intent

Convert unstructured data - like physician notes entered in an EHR - into a structured extraction of clinically meaningful intelligence that can be systematically processed by machine to derive predictive insights.


Configurable Delivery


  • Suspected conditions can be delivered directly into Edifecs’ SaaS-based software applications during Pre-Visit Planning or at the Point-of-Care
  • Alternatively, suspects can be routed via flat-file output, form-based output (CCV), or via EPIC BPA
  • Regardless of delivery, the associated evidence and rationale for the suspect is presented for clinical validation

Suspected conditions can be delivered directly into Edifecs’ SaaS-based software applications during Pre-Visit Planning or at the Point-of-Care.


Customizable Output


  • All outputs are checked against available claims data and linked to available evidence. In prospective use-cases, if a suspect already appears on a claim, it is considered confirmed and not delivered to the user
  • Each condition or code surfaced has an associated confidence score based on the confluence of available evidence and the rate at which similar outputs are accepted or rejected, both globally and locally

Fine-tune the NLP suspecting output to align with your organization’s data input, user behaviors, best practices, and customized needs.