The health care system was used to hang behind other technical adoption industries – but AI is different. Generative AI (Gen AI) can improve many of the administrative burdens of healthcare, such as finding the right information in a medical registration, preparation paper or identifying candidates for a clinical trial. And as Gen AI continues to evolve from a buzzword to an important important, new progress such as AI agents, AI-driven search and AI platforms run new opportunities for health care transformation.
At HIMSS 25 Healthcare Conference this week, we shared how health organizations use Google Cloud’s Gen AI to build agents and search tools that can reduce the administrative burden of doctors and nurses and help them provide better care.
AI agents in health care
AI agents are sophisticated technologies designed to perform tasks autonomously, often mimics human cognitive abilities. In the health care system, these agents can take on a number of roles, from planning agreements to analysis of medical images. While still in early stages, researchers are investigating AI agents for various uses, including personalized medicine, remote patient monitoring and discovery and development of drugs.
Basalt Health announced today that it is launching advanced AI agents to support medical assistants (MAS). These agents help MAS get ready for upcoming patient visits by preparing patient diagrams and performing administrative tasks. These agents can also help identify care prices and potential health risks, such as marking important screenings for mammograms or colonoscopies. Basalt’s agents understand nuanced medical guidance, synthesize information from both structured and unstructured patient data and interpret complex administrative workflows. Basalt’s AI agents operate within a secure Google Cloud environment using Vertex AI, Gemini and other Google Cloud technologies to provide high accuracy and reliability. An important aspect of its development includes the maintenance of ethical standards, ensuring transparency and addressing concerns such as data protection and algorithmic bias.
Google Agentspace makes it easier for organizations to build AI agents with Gemini’s advanced reasoning, Google quality search and company data. It provides organizations with the tools and infrastructure needed to connect agents to data sources, define workflows and manage performance.
Search with gen ai
The health industry generates huge amounts of data. We often say that this industry is data -rich and poor in information, because despite all the data, it is still difficult for health workers to find what they need. AI-run search tools go beyond traditional keyword search using natural language processing and machine learning to understand the context and the intention behind search queries. This allows organizations to bring people the most relevant and accurate information, even if they are buried deep in a huge database.
At HIMSS, several organizations shared how they use Vertex AI search for healthcare to give clinicians access to critical information, which helps contribute to better patient results.
FREENOME: Identification of candidates for cancer screening
Biotech Company Freenome is working with Google Cloud to improve the screening speeds of colorectal cancer. Freenome has developed a blood test for early CRC detection and it will use Google Cloud’s AI tools to identify patients to be prioritized for screening. By analyzing the identified patient data, including risk factors, demographics and social determinants of health, Freenome may identify people who may have missed standard screening procedures. Freenome uses various other Google Cloud services, including Compute Engine, Bigquery and Looker, for data analysis, model training and visualization.
Counterparty health: Previous identification and handling of diseases
Model Health, a subsidiary of Clover Health, announced that it uses Vertex AI search for healthcare in its counterparty assistant software to enable a generative AI search experience across a patient’s entire digital health record at the care point. This allows clinicians to quickly access critical insight synthesized from more than 100 integrated data sources-such as recent tests, hospital emissions and medication adhesion to support early diagnosis and effective chronic disease management for value-based care
Meditech: Help clinicians find what they need
Meditech has integrated AI-driven search and summary directly into its electronic health register system, Expans. This allows clinicians to immediately receive a summary overview of relevant patient records, laboratory results and previous notes, all within their well -known workflows. This saves time and helps clinicians make more informed decisions.
Suki: Ambient AI with search
Suki announced how its AI assistant allows doctors to use natural language to ask questions such as “What is the latest recommendation of when patients should start colon cancer -screening if they have a significant family history?” and receive brief, AI-generated answers. These new features, built with Vertex AI search for healthcare, make Suki one of the industry’s first end-to-end clinical assistants offering support for a wide range of tasks, including surrounding documentation, coding suggestions, patient soil summary, medical reference responses and more.
Join Google Cloud on Himss booth #673 to see all these exciting new technologies in action. You can also read more about the news in Google Cloud’s Press Corner.