This week at HIMSS18, Google unveiled their new Cloud Healthcare API, which addresses the significant interoperability challenges in healthcare data. The new API will provide a robust, scalable infrastructure solution to ingest and manage key healthcare data types—including HL7, FHIR and DICOM.
Google is already working with a select group of partners including Stanford School of Medicine. “Open standards are critical to healthcare interoperability as well as for enabling biomedical research. We have been using the Google Cloud Genomics API for a long time and are very excited to see Google Cloud expanding its offerings to include the new Cloud Healthcare API. The ability to combine interoperability with Google Cloud’s scalable analytics will have a transformative impact on our research community,” said Somalee Datta, Ph.D., Stanford School of Medicine Director of Research IT.
The goal of the Cloud Healthcare API is to give healthcare customers the tools they need to accelerate projects in areas like population health, personalized medicine and clinical research. Some examples of healthcare customers currently using Google Cloud include:
Cleveland Clinic is using Google Cloud’s Apigee platform to realize the full potential of their underlying electronic medical record through FHIR APIs. Using a secure, scalable and industry-grade API platform, Apigee allows Cleveland Clinic to enable, augment and extend functionality of their EHR. It’s also enabling them to run advanced analytics and ML-based predictive models, revealing insights to clinicians that help them deliver improved patient care.
M*Modal is working with Google Cloud to reinvent the experience of healthcare and mitigate widespread physician burnout. The collaboration leverages M*Modal’s success in adoption of its physician-assistive, AI-based solutions with Google Cloud’s expertise in AI at scale to align innovation with market needs. M*Modal solutions deliver AI-powered, real-time contextual understanding and more enhanced, actionable insights from clinical data to the doctor directly at the point of care.
Lahey Health is making the move to G Suite for its many benefits, including innovation, scalability, collaboration, security and productivity. From the security perspective, they chose G Suite for our team of dedicated security professionals, malware scanning for early detection of global campaigns, and secure end-to-end infrastructure that has built-in protections across many layers.
The Chilean Health Ministry is using Google Cloud’s Apigee platform to provide a nationwide API-based connectivity to help ensure data, applications and services are easily, yet securely, available when and where needed. This connectivity helps secure access to patient information, regardless of whether it’s needed in one of Chile’s 1,000 remote medical facilities or in one of its connected health centers.
Rush University Medical Center is also using Apigee to enhance many aspects of patient care and patient experience. They’re looking to optimize scheduling, identify excess costs, reduce emergency department wait times, reducing readmissions and identifying and predicting cybersecurity threats using Google Cloud’s capabilities in AI and ML.
Color is using Variant Transforms—a new open source tool we recently released that helps export genomic variants directly into BigQuery—to discover new capabilities for their cancer diagnostic service. When the Broad Institute of MIT and Harvard first brought the GATK Best Practices pipeline to GCP in 2015, it was $45 to analyze a single genome. Since then, Broad has steadily brought down the cost to a little over $5 by optimizing its use of GCP, while maintaining (and even improving) the quality of the output, and has recently made this same pipeline—at the same cost—available to researchers around the world.
Middlesex Hospital and Chapters Health System are using Chrome to provide a secure, future-proof entry point to the cloud, connecting their staff to data-driven systems so they can focus on what’s most important: delivering great patient care.
