Builds Advanced Solutions for Nurses with Google Cloud’s Generative AI Builds Advanced Solutions for Nurses with Google Cloud’s Generative AI Builds Advanced Solutions for Nurses with Google Cloud’s Generative AI

What You Should Know:

  • today announced at HLTH ‘23 it is building Google Cloud’s generative AI and data analytics tools into its Smart Care Facility Platform to improve healthcare facility management and patient care and move toward its vision for predictive smart care facilities.
  •’s platform will help solve an acute and growing problem; there aren’t enough clinicians to deliver healthcare, and yet the amount of paperwork is growing.

Easing Administrative Burdens and Improving Healthcare Facility Management

Administrative costs in 2022 alone increased by $18 billion, a 30% increase in just one year, to reach $60 billion annually (CAQH). Additionally, within the next five years, the U.S. faces a projected shortage of more than 3.2 million front-line healthcare workers such as medical assistants, home health aides, and nursing assistants, according to a Mercer report.

By leveraging Google Cloud’s gen AI tools, including PaLM 2 on Vertex AI, and data analytics products BigQuery and Looker,’s Smart Care Facility Platform will reduce administrative burdens, help mitigate staffing shortages, and free up clinicians to spend more time with patients in 1.500 acute and post-acute facilities where’s platform is already deployed.

As the technology is further deployed and integrated, acute and post-acute facilities will become continuously learning, “self-aware” environments that leverage’s always-aware Ambient Intelligent Sensors to seamlessly provide clinical and operational teams with real-time ambient data, such as patient condition, room status, protocol and process adherence that keeps care teams better informed and empowered to meet patient needs. The Smart Care Facility Platform will also assist in creating discharge summaries, call summaries, recommend templates and other content for nurses, admissions, and discharge staff.’s goal is to preemptively identify potential issues, enable real-time awareness, and improve predictive process adherence and resource allocation for more timely responses. This will enhance patient safety and experiences while autonomously optimising workflows and processes. 

“This collaboration brings us closer to our vision of predictive smart care facilities, as opposed to the current reactive care model, which relies on latent, manual, often inaccurate data entry,” said Chakri Toleti, CEO of “This will enable the era of the smart hospital by making gen AI and ambient intelligence powerful assistive technologies, empowering clinicians, making healthcare safer, smarter and more efficient.” is also leveraging Google Cloud’s Vertex AI Search, which combines deep information retrieval, state-of-the-art natural language processing, and the latest in large language processing to understand user intent and return the most relevant results for Smart Care Teams.

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