Building on Google Cloud’s previous work with Mayo Clinic on its digital transformation, including programs that leverage analytics, AI and ML solutions, the new collaboration hopes to improve clinical workflow efficiency and make it easier for clinicians and researchers to find information, therein, improving patient outcomes.
Gen App Builder aims to unify healthcare data across dispersed documents, databases and intranets, making it easier to search, analyze and identify the most relevant results. It also supports HIPAA compliance, along with each customer’s processes, security and privacy controls.
Growing Google Cloud’s portfolio of generative AI tools, Gen App Builder, along with generative AI support in Vertex AI, hopes to help healthcare organizations optimize workforce productivity, streamline administrative processes and leverage technology to automate repetitive tasks, allowing caregivers to focus on higher-value patient interactions.
Mayo Clinic, as an early adopter of Google Cloud’s Gen App Builder, is exploring how the combination of Google-quality search with generative AI can bring important information to doctors, clinicians, and other employees, in a fast, seamless and conversational way.
Google Cloud will continue collaborating with Mayo Clinic and several healthcare organizations to develop these capabilities in a clinical setting.
“Generative AI has the potential to transform healthcare by enhancing human interactions and automating operations like never before,” said Thomas Kurian, Google Cloud CEO. “Mayo Clinic is a world leader in leveraging AI for good, and they are a critical partner as we identify responsible ways to bring this transformative technology to healthcare.”
“Our prioritization of patient safety, privacy, and ethical considerations, means that generative AI can have a significant and positive impact on how we work and deliver healthcare,” said Cris Ross, CIO, Mayo Clinic. “Google Cloud’s tools have the potential to unlock sources of information that typically aren’t searchable in a conventional manner, or are difficult to access or interpret, from a patient’s complex medical history to their imaging, genomics, and labs. Accessing insights more quickly and easily could drive more cures, create more connections with patients, and transform healthcare.”