About This Webinar
Health insurance plans are responsible for collecting and reviewing vast amounts of medical records to support their risk adjustment and quality initiatives. However, a significant portion of these records provide little to no clinical documentation value and require considerable manual effort to process. Advancements in AI technologies allow health insurance plans to minimize this wasted effort while maximizing the efficiency of record reviews.
This webinar will highlight best practices for retrieving essential medical records to build an effective risk adjustment program. It will explore the challenges faced by traditional natural language processing (NLP) solutions and how models can be trained to address these issues. Additionally, this webinar will discuss how these technologies can be integrated into existing workflows to enhance the efficiency of risk adjustment teams.
Attend this webinar to learn
- How advances in AI and NLP are being deployed to enhance risk adjustment
- How the next generation of NLP reduces false positive identification rates
- Advantages of using AI and NLP to refine chart chase lists and extract maximum value
