Google Cloud enhances Vertex AI Search integrating images, text, and structured data to provide clinicians with accurate insights.
Google Cloud enhances Vertex AI Search with multimodal GenAI, integrating images, text, and structured data to provide clinicians with faster, more accurate insights. Healthcare data is highly complex, with nearly 90% of it stored in image formats like x-rays and scans. Traditional search tools often struggle to interpret and integrate diverse data sources, slowing down clinical decision-making. Google Cloud addresses this with new multimodal AI capabilities in Vertex AI Search for healthcare. The Visual Q&A feature allows AI to directly process medical charts, tables, and forms, eliminating the need for text conversion. Additionally, the integration of Gemini 2.0 accelerates data retrieval. Improving search efficiency for clinicians.
By combining structured and unstructured medical data, multimodal AI enables real-time insights into patient conditions. Counterpart Health leverages these capabilities to enhance physician workflows, ensuring clinical decisions are based on comprehensive patient data. Similarly, MEDITECH integrates Google Cloud’s AI into its Expanse EHR system, allowing care teams to find relevant medical information using natural language search. Suki, a digital assistant for clinicians, now utilizes these AI-driven tools to summarize patient records and assist in decision-making, reducing administrative burdens.
Google Cloud’s continued investment in GenAI for healthcare aims to streamline workflows, improve diagnostic accuracy, and enhance patient care. By integrating multimodal AI with existing electronic health records and assistive technologies, Vertex AI Search is transforming how medical professionals access and interpret critical information.