Google Cloud’s new solutions for healthcare and life sciences address key challenges faced by the industry, such as high administrative costs, physician burnout, and the need for more efficient data management and analysis.
Vertex AI Search for Healthcare allows developers to create assistive technology for healthcare workers by providing a smarter search functionality. This feature enables clinicians to quickly access relevant information from electronic health records (EHRs), scanned documents, and other clinical data, reducing the time spent searching through extensive notes and records. Additionally, the solution offers configurable cloud APIs, question-answering capabilities, and factuality checks, ensuring that the information retrieved is accurate and reliable.
The Healthcare Data Engine (HDE) is a managed service that helps organizations build a high-quality data platform for gen AI applications. With simplified management and streamlined pricing, HDE enables healthcare providers to deploy and manage a real-time healthcare data platform in the cloud. The platform also includes a low-code graphical data mapping IDE, making it easier for organizations to transform their data into a format suitable for gen AI applications.
Google Cloud’s MedLM suite offers new capabilities, including MedLM for Chest X-ray and a Condition Summary API. MedLM for Chest X-ray assists with the classification of chest X-rays for operational, screening, and diagnostic purposes. The Condition Summary API provides a chronological list of patient conditions along with AI-generated briefs about each condition, helping clinicians access relevant information more efficiently.
Overall, these solutions aim to improve interoperability, data management, and the deployment of gen AI tools in healthcare, ultimately leading to better patient outcomes and more efficient healthcare delivery.
