Reducing Medical Coding Complexity with Nym Health

TL;DR

This interview discusses the use of rapid prototyping and a unique approach to natural language understanding in building a successful company.

Transcript

ami hi it's great to have you here i know you're a graduate of the elite israeli intelligence unit 8 200. without divulging too much uh how do those experiences translate into building this company one thing we're really used to or i was really used to there especially after i spent there almost uh nine or ten years of my life as an officer was doi... Read More

Key Insights

• 🖐️ Rapid prototyping, inspired by the interviewee's intelligence unit experience, plays a crucial role in the company's success.
• 👨‍💻 Existing NLP and ML-based approaches in healthcare coding face challenges related to data accuracy and the inability to explain coding reasoning.
• 😫 The company's unique rule-based approach, emphasizing national language understanding (NLU), sets it apart from others in the field.
• 🛄 The availability of audit trails and explanations provides clients with confidence and can help prevent potential audits or fraud claims.

Questions & Answers

Q: How does the interviewee's previous experience in an elite intelligence unit contribute to the rapid prototyping approach in their company?

The interviewee's experience in the intelligence unit involved working in a fast-paced environment and reacting quickly to challenges, which they have implemented in their company's culture of rapid prototyping.

Q: What are the main challenges with using NLP and ML-based approaches in healthcare coding?

Two main challenges are mentioned. First, data accuracy is a problem since existing data is based on human coding, which is not always accurate. Second, these approaches are often considered black box models, making it difficult to explain the reasoning behind the coding.

Q: How does the company's rule-based approach differ from traditional NLP techniques?

The rule-based approach used by the company, which they refer to as national language understanding (NLU), focuses on accurately understanding the text in physician notes. This approach allows them to avoid the limitations of statistical or black box models used in traditional NLP.

Q: How do audit trails and explanations benefit clients using the company's coding engine?

Audit trails provide clients with the ability to show the thought process and reasoning behind coding decisions. This helps them gain confidence from payers and avoid potential audits or fraud claims, as they can demonstrate the accuracy and legitimacy of their coding.

Summary & Key Takeaways

• The interviewee, a graduate of an elite Israeli intelligence unit, emphasizes the importance of rapid prototyping in their company, which was influenced by their previous experiences.

• The interviewee explains that NLP and ML-based approaches have not worked well in the past due to challenges with data accuracy and the inability to explain the reasoning behind the coding.

• The company takes a different approach by using a rule-based approach, focusing on national language understanding (NLU) rather than just NLP.

• The availability of audit trails and explanations in coding processes provides confidence to clients and helps them avoid potential audits and fraud claims.

• The technology can also assist providers in improving their documentation and adherence to guidelines, ultimately leading to better patient care.