Google Cloud Unveils New Clinical Generative AI Tools at HIMSS24
As a result of its new search feature, Google Cloud aims to give clinicians a similar experience to the one they experience every day when they use Google.com to search the web.
Google Cloud Unveils New Clinical Generative AI Tools at HIMSS24: Google Cloud announced Tuesday at the HIMSS conference in Orlando new AI features aimed at improving clinical data use by providers, payers, and other healthcare organizations.
With its first announcement, the tech giant introduced Vertex AI Search for Healthcare, a generative AI-powered search tool that helps clinicians search patient data and notes quickly.
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In the Vibe at ViVE by MedCity News, health tech executives shared how their companies are addressing the most pressing needs in healthcare.
Google Cloud’s global director for healthcare strategy and solutions, Aashima Gupta, said in an interview at HIMSS that searching through clinical data can be time-consuming and difficult. As a result of its new search feature, Google Cloud aims to give clinicians a similar experience to the one they experience every day when they use Google.com to search the web.
At #HIMSS24, we announced new advancements in our AI capabilities that help healthcare professionals transform the patient experience, including the general availability of Vertex AI Search for Healthcare. https://t.co/D9zmZuyWj8
— Thomas Kurian (@ThomasOrTK) March 12, 2024
Users can customize their settings to match their EHR workflows with this tool as an API, Gupta explained. In addition, she explained that the tool inspires trust among users by displaying footnotes that refer to the specific data points included in the search results.
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Besides releasing Vertex AI Search for Healthcare, Google Cloud also announced the addition of two new features to its healthcare-specific large language model (LLM). The LLM, called MedLM, is a generative AI model designed to speed up workflows for clinicians and medical researchers.
To help clinicians better categorize chest x-rays for screening and diagnostics, the first new capability is an API. The second is an API that gives clinicians a chronological list of a patient’s conditions, along with short AI-generated summaries about each of them.
In the Vibe at ViVE by MedCity News, health tech executives shared how their companies are addressing the most pressing needs in healthcare.
Health systems are exploring nurse handoffs as a major use case for MedLM, which is currently being tested by Google Cloud customers including Highmark Health, Mayo Clinic, and HCA Healthcare.
If a nurse has 10 patients, she has to spend an hour and a half on handoff. If she has 10 patients, she has to spend 10-15 minutes on handoff for each one.
MedLM saves nurses time by automatically generating briefings for each patient, and it also specifies which patient data points were used to craft the summary within the EHR, Gupta said.
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