MOUNTAIN VIEW, Calif. – Google recently launched the Cloud Healthcare application programming interface to address interoperability challenges in health care data.
The API was designed to extract data from electronic health records and other platforms through DICOM, FHIR and HL7 protocols, freeing up the flow of information leading to actionable insights from artificial intelligence and machine learning to improve patient outcomes.
“Google Cloud’s goal for health care is very much a reflection of Google’s overall mission: to organize the world’s information and make it universally accessible and useful,” said Dr. Gregory Moore, vice president of health care at Google Cloud, in a blog post announcing the API’s release. “Applying this mission to health care means using open standards to help enable data sharing and interactive collaboration, while also providing a secure platform.”
Google opened access to the API early for a group of customers and partners, including the team at the Stanford School of Medicine.
“The ability to combine interoperability with Google Cloud’s scalable analytics will have a transformative impact on our research community,” said Somalee Datta, director of research IT at Stanford School of Medicine, in a statement.
Moore said Google’s goal with the Cloud Healthcare API is to help transform the health care industry through the use of cloud technologies and machine learning.
“Health care is increasingly moving to the cloud, and the adoption of machine learning will allow the industry to unlock insights that can lead to significant clinical improvements for patients,” he said.