Google Cloud has been on a relentless spree with its generative AI capabilities. Over the past year, the company has dedicated significant resources to building out its robust suite of tools, including its well-known Vertex AI Search platform, which enables organizations to easily build generative AI powered search tools.
Its latest innovation in this space is its introduction of new capabilities in Vertex AI specifically tailored for healthcare and life-sciences organizations, which the company announced today. Specifically, the new features will harness Vertex AI’s existing capabilities to search across data sources to go one step further and help organizations search for clinical information and study patient records more easily.
The value of these new capabilities is incredible. Most importantly, making search functions available at a granular enough level to encompass data across an entire organization’s ecosystem, in addition to data within EHRs (electronic health records), can significantly improve clinical workflows and the process of care delivery. For example, a clinician may be able to use a tool utilizing this technology to search a patient’s records to easily find the patient’s medication history, previous labs, and other information related to the patient’s care plan.
Furthermore, Google Cloud’s technology prides itself on two unique aspects. First, the product is designed to be incredibly intuitive and easy to use, meaning that organizations can deploy custom machine learning models with minimal expertise and experience. Moreover, the product boasts its interoperability features, enabling organizations to search across a wide spectrum of data sources, ranging from clinical notes to raw, unstructured data in the patient record. Given how siloed medical data is currently, this is a significant boon to healthcare organizations.
A physician taking notes during a patient encounter.
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