At HIMSS 2024, Google Cloud announced several new solutions to help healthcare and life sciences organizations enable interoperability, build a better data foundation for their businesses, and deploy generative AI (gen AI) tools to improve patient outcomes.

The rising costs of healthcare administration and the global nursing shortage present a clear opportunity for healthcare providers, payers, electronic health records companies, and life science companies to build gen AI solutions that empower healthcare workers and other employees to work more efficiently and effectively.

Google Cloud’s Vertex AI Search for Healthcare helps developers build better assistive technology for clinicians and other health system workers to alleviate administrative burden. Specifically, it enables medically-tuned, gen AI search on a broad spectrum of data, including FHIR data and clinical notes. These search and question-answering capabilities now integrate with MedLM, Healthcare Data Engine (HDE) and Cloud Healthcare FHIR APIs, making it easier for healthcare and life science organizations to build the data analytics and AI solutions needed for next era health systems.

Healthcare organizations require enterprise-grade gen AI solutions that are built on real data. Vertex AI Search for Healthcare is already making a difference for healthcare organizations by helping ensure clinicians have the right information and insights at the right time to make decisions and improve the overall quality of patient care,” said Aashima Gupta, global director for Healthcare Strategy & Solutions at Google Cloud.

The ability to quickly locate information within EHRs is a well-documented problem today. MEDITECH’s vision to embed search within the Expanse workflows allows us to leverage Google Clould’s AI capabilities to ease this burden,” said Helen Waters, EVP and COO at MEDITECH.

To help healthcare organisations around the world build an interoperable, high-quality data platform as a foundation for taking advantage of Gen AI, Google Cloud has announced a new consumption-priced managed service for Healthcare Data Engine (HDE) and expanded availability internationally with new features.

By deploying Google Cloud Healthcare Data Engine, HCA Healthcare has the ability to harmonize data from disparate sources into a comprehensive longitudinal patient record, which is fundamental to our advanced analytics and Responsible AI initiatives,” said Michael J. Schlosser, SVP, Care Transformation and Innovation at HCA Healthcare.

Our end-to-end tech stack enables us to capture the emerging opportunities of new technologies – from machine learning to generative AI – to deliver seamless experiences for members. We continue to partner with forward-looking companies like Google Cloud to accelerate our efforts and drive the change we want to see in healthcare,” said Mario Schlosser, co-founder and Chief Technology Officer of Oscar Health.

Google Cloud’s Healthcare Data Engine, search and gen AI capabilities combined with our unmatched range of services and tools to support the total health and wellbeing of our global population, will help us streamline workflows at scale, unlock deeper insights from healthcare data, and ultimately drive better health outcomes for the nearly 70 million lives we serve worldwide,” said Steve Fast, CIO at TELUS Health.

MedLM, a family of foundation models fine-tuned for healthcare industry use cases, will add two new capabilities for Google Cloud customers to explore and test, MedLM for Chest X-ray and Condition Summary.

MedLM for Chest X-ray can help with classification of chest x-rays for operational, screening, and diagnostics use cases. It is a domain-specialized model, launched as an application programming interface (API) that converts chest x-ray images into embeddings. App developers and data scientists can use those embeddings along with ground truth labels to train a simple classification model in Vertex AI.

Condition Summary is a task-specific API that aims to provide a chronological list of patient conditions, along with AI-generated briefs about each condition, with citations from original text.

In the coming months, Google Cloud is planning to bring additional functionality to the MedLM suite to offer even more capabilities. Google Cloud’s customers retain control over their data. In healthcare settings, access and use of patient data is protected through the implementation of Google Cloud’s reliable infrastructure and secure data storage that support HIPAA compliance, along with each customer’s security, privacy controls, and processes.

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