The Growing Antitrust Risks Of AI Pricing For Health Insurers
As algorithmic pricing models continue to gain traction throughout industries, they increasingly face scrutiny from legislators, enforcers and private plaintiffs who fear their anticompetitive potential. The health insurance industry is no exception: Courts are seriously considering challenges to algorithmic models for health insurance pricing, and legislators are also stepping in.
This article focuses on recent legislative and enforcement trends to regulate this developing technology, as well as two ongoing cases involving algorithmic pricing in the health insurance industry, In re: MultiPlan Health Insurance Provider Litigation in the U.S. District Court for the Northern District of Illinois and In re: Zelis Repricing Antitrust Litigation in the U.S. District Court for the District of Massachusetts. Both cases are now in discovery as the plaintiffs continue to pursue their remaining claims.
To continue ready Amy Vegari and Nico Galván's article in Law360, click here.