1. Home
  2. |Insights
  3. |State University Hospital Fends Off FCA Claims Under "Arm-of-the-State" Test

State University Hospital Fends Off FCA Claims Under "Arm-of-the-State" Test

Client Alert | 1 min read | 07.16.13

In U.S. ex rel. King v. The University of Texas Health Science Center-Houston, a federal court considered whether The University of Texas Health Science Center–Houston was subject to liability under the qui tam provisions of the federal civil False Claims Act, based on a former employee's allegations that the hospital had defrauded the federal government by covering up misconduct related to federal research grants, and retaliated against the employee for reporting the misconduct. Applying the "arm-of-the-state" test (previously discussed here), the court held that the university hospital was a state entity -- and thus, was not a "person" subject to suit under the FCA -- and likewise held that employee's FCA retaliation claim was barred by sovereign immunity, providing a victory in the latest round of FCA scrutiny impacting higher ed institutions (discussed here and here).


Insights

Client Alert | 7 min read | 09.14.26

AI in Life Sciences: Ten Legal Considerations and Risks of AI Use in Drug Discovery and Development

Over the past several years, the biopharmaceutical industry has embraced artificial intelligence and machine learning (AI/ML) in near lockstep with the pace of AI/ML innovations. Today, industry leaders are using AI/ML to, among other things: discover and assess biological pathways, target chemical structures and sequences; design proteins; model pre-clinical and clinical trials; recruit and screen potential patient populations; evaluate clinical trial results and biomarker data; prepare regulatory filings; and manage supply chains. Deployment of new AI/ML models promises extraordinary advances in pharmaceutical development. However, as with any technological and scientific advances, the use of AI/ML also poses substantial legal risks that life sciences companies need to consider and proactively manage. ...