As the world still grapples with rising number of COVID-19 cases, Google Cloud has updated its API offerings for healthcare organizations. In order to further help healthcare organizations during this unprecedented time, Google has launched Healthcare Interoperability Readiness Program to help organizations understand interoperability maturity levels, make a blueprint to enable interoperability, and increase their readiness for future innovation. It will also allow healthcare organizations to generate a clear path for integration using the relevant data in a compliant manner.
The Readiness Program helps organizations to comply with Cures Act along with providing various consultancies, including HealthAPIx Accelerator (to provide a blueprint for interoperability implementation), Apigee API Management (enables security and governance to the APIs), Google Cloud Healthcare API (allows saving data in latest FHIR formats), and Interoperability toolkit (includes resources to accelerate compliance with standards).
In a blog post regarding the announcement, Aashima Gupta, the Global Director at Healthcare Strategy and Solutions at Google Cloud, said, “the stakes are significant. Yet, in speaking with our customers, the number of healthcare organizations that feel prepared to meet these new requirements is small. Why is this the case? In short, providers and payers aren’t sure where to start. And with many critical applications running on legacy IT systems that aren’t built on modern web standards, the goal can seem daunting.”
Along with the updated API integrations, Google also announced the availability of cloud development platform Anthos on bare-metal servers. This allows users to move applications between multiple cloud providers, including Microsoft Azure and AWS. Anthos on bare metal enables users to increase the speed of multi-cloud deployments in their cloud infrastructure. It also provides users with the choice to run Anthos either on their present infrastructure or modernize applications by removing their dependency on a hypervisor layer.
According to Google, Anthos comes in two deployment models:
Standalone model: It allows users to manage every cluster independently, suitable for running workloads independently or in an edge location.
Multi-Cluster Model: This model allows the managing of a fleet of clusters from an admin closer. It is preferable when the workloads consist of automation or tooling.
According to Google, a user can also package an application in a container and move it between various other clouds by rewriting it for that infrastructure with Anthos. Pali Bhat, VP of product and design at Google Cloud, says “they do want to be able to bring all of the benefits of cloud to both their own data centers, but also to any cloud they choose to use. And what Anthos enables them to do is go on this journey of modernization and digital transformation and be able to take advantage of it by writing once and running it anywhere, and that’s a really cool vision.”