A holistic approach to problem solving is necessary to address the complex issues facing healthcare providers today. Despite the demands of the current environment, quality must remain the top ...

Nvidia and Abridge are building a healthcare AI model for clinical conversations, documentation, and decision support in ...

Abridge starts from first principles: The base unit of healthcare is a clinician caring for a patient. Built around that ...

Health system leaders report reductions in charting delays and overtime as nurses spend more time focused on patients and ...

An artificial intelligence (AI)-powered clinical documentation tool helped reduce time spent on electronic health records (EHR) at home for almost 48% physicians, and nearly 45% reported less weekly ...

The industry needs a framework that can translate clinical nuance into a consistent, trusted representation across systems ...

Since launching eight years ago with an ambient medical transcription tool, Abridge has set its sights more broadly on ...

Health systems across the country are launching enterprise-wide deployments of AI-powered clinical documentation tools. Hospital leaders agree that this technology reduces physician burnout, as well ...

Evaluation of a clinical summarization method based on GPT-4 suggests that such models might reduce the documentation burden on clinicians — but prospective evaluation with high-priority tasks will be ...

Doctors become doctors to care for patients, not to spend hours on paperwork. Yet, administrative tasks like writing clinical notes, updating patient records and handling billing documentation can ...

Everything hospital executives need to know about the importance of clinical documentation improvement is summed up in one single fact: CDI fuels correct reimbursement and accurate quality reporting.

Medical decision-making must remain with clinicians, but why does cumbersome data entry work continue to bog down their time? Can AI be used to allow physicians to spend less time on administrative ...