Hackensack Meridian Health, New Jersey’s largest health network, announced Oct. 16 the availability of several new AI agents, built with Google Cloud’s latest generative AI technologies, to advance patient care and operational efficiency.
Hackensack Meridian Health also has become the first health system to deploy an agent built on Gemini at scale for clinical note summarization now used by more than 7,000 clinicians across its 18 hospitals and 500 clinical care sites.
“We have hyper-scaled our AI-enabled capabilities over the past three years, and putting these agents into production represents the next frontier in our journey,” said Sameer Sethi, senior vice president, chief AI officer, Hackensack Meridian Health. “Since the clinical note summarization offering rolled out in June, this feature has helped more than 1,200 clinicians generate more than 17,000 summaries and usage is growing exponentially. By using Gemini to summarize clinical notes for more than 12 specialties, we’re reducing physician burnout and empowering care teams to create a more personal experience for every patient.”
In addition to the clinical note summarization, HMH is deploying two other AI agents, all powered by Gemini 2.5:
NICU nurse agent:
- This specialized AI agent assists neonatal Intensive care unit nurses by providing rapid access to the most up-to-date best practices and policies, saving them research time and ensuring they can deliver the highest standard of care.
Lab values summarization agent:
- This is a specialized AI agent that summarizes lab panel results, highlighting significant trends and key findings, and generates preventive care recommendations so that primary care physicians can more quickly draft patient communications about the lab results.
HMH is also planning to expand its use of AI into clinical decision support. Using Google Cloud’s generative AI products, such as its Vertex AI platform and Gemini family of models, the health system will analyze current and historical patient data to glean patterns and decipher certain diagnostic and prognostic indicators that can be used to predict which patients may require a different care setting.
