Data

We share an interactive tool highlighting the critical role denials and appeals play in financial incentives in U.S. health insurance.

We announce the release of our new pretraining corpus and appeal outcome prediction benchmark.

We describe barriers to responsibly deploying natural language understanding tools with existing technology, and ways to overcome them.

We analyze data from the CMS Medicare Part C and D Qualified Independent Contractor appeal database.

We look into demographic trends in two California databases documenting outcomes of external appeals of health insurance denials.

Announcing the release of claims denial data from the Pennsylvania Insurance Department.

Introduction of a corpus, appeal outcome prediction task, a novel benchmark for that task, and modeling baselines.

An investigation of public claims denial and appeal data.