Abridge

The article discusses congenital syphilis in newborns, a preventable condition with penicillin from Pfizer, and questions Abridge’s 'patient centered' claim. The author expresses frustration over preventable medical issues and emotional reactions to community stories.

Mental health professionals at Kaiser Permanente are concerned about an AI tool called Abridge that records entire medical appointments, including mental health sessions, without fully disclosing data handling practices to patients or providers. The tool requires patient consent but does not explain how recordings are stored, accessed, or protected, leading to provider frustrations and calls for greater transparency.

Mental health providers are using AI tools like Abridge to record patient visits, raising privacy concerns. Patients are informed of recordings but not how data is stored, accessed, or protected, leading to frustration among providers like Ilana Marcucci-Morris and Ligia Pacheco who report inadequate transparency from Kaiser Permanente.

Abridge, a health tech startup, has partnered with NVIDIA and Eli Lilly to develop an AI-native clinician intelligence platform that streamlines clinical documentation, billing, and pharmaceutical trial screening. The platform, used by over 300 health systems, captures real-time patient-clinician conversations and has raised $1.1 billion, including a $316 million Series E extension. NVIDIA is co-developing a foundation model for clinical dialogue, while Eli Lilly aligns with its AI-driven healthcare initiatives.

Abridge, a health care AI company, announced strategic partnerships with Eli Lilly and Nvidia to develop a clinical AI model and streamline healthcare operations. The deals aim to enhance clinical workflows and address the limitations of generic AI in healthcare.

The Trump administration and Kennedy are seeking to relax safeguards for AI healthcare tools, which has raised concerns among clinicians and patient-safety advocates about the potential harm to patients. Hospitals nationwide are implementing note-taking software, but there are persistent questions about the systems' quality. Researchers worry that clinicians might not be diligent about catching errors.