Transforming the healthcare industry through going to the cloud

Google recently launched its new Cloud Healthcare API. According to Gregory J. Moore MD, PhD, Vice President of Healthcare, “Google Cloud’s goal for healthcare is very much a reflection of Google’s overall mission: to organize the world’s information and make it universally accessible and useful.”

Sascha Keutel

Photo

With API Google addresses the significant interoperability challenges in healthcare data. Today, most medical data, whether it’s lab reports, imaging data or patient records, is scattered throughout the various hospitals and clinics where the patients are treated or even scattered throughout different departments in one such institution. The consequences are various, they stage from repeating tests and procedure, which is time consuming and expensive to information gaps which could have dire consequences for the patient. “Our goal with the Cloud Healthcare API is to help transform the healthcare industry through the use of cloud technologies and machine learning.”

And how do they want to do that? “The new API provides a robust, scalable infrastructure solution to ingest and manage key healthcare data types – including HL7, FHIR and DICOM – and lets our customers use that data for analytics and machine learning in the cloud,” Moore reported. “Just imagine if all healthcare providers could easily, securely and instantaneously collaborate while caring for you. Ultimately, we hope that better flow of data will inspire new discoveries with artificial intelligence and machine learning, leading to insights that improve patient outcomes.”

Subscribe to our newsletter

Related articles

Deep learning identifies molecular patterns of cancer

Deep learning identifies molecular patterns of cancer

An AI platform can analyze genomic data extremely quickly, picking out key patterns to classify different types of colorectal tumors and improve the drug discovery process.

AI identifies key patterns of infant movements

AI identifies key patterns of infant movements

A video recording of an infant lying in bed can be analyzed with artificial intelligence to extract quantitative information useful for assessing the child’s development as well as the efficacy of ongoing therapy.

Beware of medical ‘shadow’ records, ‘black box’ tools

Beware of medical ‘shadow’ records, ‘black box’ tools

A team of experts led by two University of Michigan researchers calls for attention to this shadow record.

The progress and risks of artificial intelligence

The progress and risks of artificial intelligence

Artificial intelligence has reached a critical turning point in its evolution, according to an international panel of experts.

Machine learning helps diagnose leukemia

Machine learning helps diagnose leukemia

Researchers at the University of Bonn show how artificial intelligence improves the evaluation of blood analysis data.

A pen to pin down the fringes of cancer

A pen to pin down the fringes of cancer

The MasSpec Pen has shown to accurately differentiate healthy and cancerous tissue from banked pancreas samples during surgery.

Has graphene lived up to its potential in medical technology?

Has graphene lived up to its potential in medical technology?

Graphene represents incredible opportunities for advancement in many fields, including medical science.

Expanding human-robot collaboration in manufacturing

Expanding human-robot collaboration in manufacturing

To enhance human-robot collaboration, researchers at Loughborough University have trained an AI to detect human intention.

AI finds out what makes human tick

AI finds out what makes human tick

Scientists have developed a machine learning technology to understand how gene expression regulates an organism's circadian clock.

Popular articles

Subscribe to Newsletter