Description: Over the last 10 years, Artificial Intelligence (AI) healthcare foundation models have made tremendous strides when it comes to delivering highly accurate predictive results when compared to traditional models. This is especially true for models developed and trained on the ‘language’ of healthcare. When trained on healthcare data sequences (claims, EHR, CPT, ICD, pharmacy, lab, etc.), these models deliver far more accurate results as to WHAT beneficiary-level health events will occur and even WHEN they will occur.

Description: Almost half of recent FDA approvals have been for orphan drugs. This trend is expected to continue in 2023. Orphan drugs are priced more than 30 times higher than non-orphan drugs, therefore their cost burden in aggregate has the potential to overwhelm the budgets of payers, especially that of smaller health plans. Hear how the cost impact analysis for smaller health plans require different considerations than for a larger health plan when modeling the impact of rare diseases.

Description: Join us for a lively discussion on how accelerated underwriting (AU) practices have evolved over time and specifically because of COVID-19.

Description: This webcast will walk through several statistical methods for imputing race and ethnicity from U.S. datasets, highlighting their strengths and weaknesses, talking about how to use them and evaluating their accuracy, and telling you where you can get code packages as well as a free dataset to try the methods out.

Description: EHRs are a source of digital health data that present both an opportunity and a challenge for insurers. These rapidly maturing data sources contain valuable insights and can create a faster, better applicant experience, but the costs can quickly add up. Listen to panelists discuss various use cases for EHRs, their protective value in relation to traditional underwriting approaches, and other considerations for expanding EHR use. We will take a look at how using EHRs could promote a smart ordering approach allowing us to be quicker and more cost effective, all while understanding the impact to mortality.