Valuable member health information is often trapped in unstructured text. Clinical natural language processing has the power to unlock it.
As Medicare Advantage (MA) plans improve their performance, enrollment rises—along with the need for quality data to help plans understand their member population. MA plans depend on medical payment data and patient data as part of medical data sets to maximize reimbursement, manage risk, and implement quality improvements.
But critical clinical data such as medical history and clinician notes may be locked in unstructured text. Not having access to this data puts health plans at risk of having an incomplete picture of their members’ health.
That’s where NLP (Natural Language Processing) comes in. Clinically intelligent NLP, is an important application of artificial intelligence (AI) technology, and the processing of natural language in clinician notes can help MA plans extract clinical meaning from unstructured data.
To tap the wealth of information in unstructured data, health plan executives need a strategy and solution for adopting this powerful technology in their organizations.
MA Plans can Extract the Meaning from Unstructured Data with NLP
Read the paper to learn:
- Why value-based-care requires health plans to leverage unstructured data from medical data systems
- The importance of having a complete picture of members’ health
- How clinically intelligent NLP can help health plans achieve performance goals
- Six key steps health plan executives can take to implement NLP within their organizations
