At the recent HIMSS18 conference, Google unveiled its new cloud healthcare API. This tool will help healthcare providers and healthtech companies collect and manage various types of medical data – including EHR data, administrative reporting data, and imaging data – via the cloud and is purportedly designed to address the significant interoperability challenges in healthcare data.
Google Cloud, not unlike other public cloud providers, is finding ways to differentiate in the competitive cloud market. Google is betting that, if healthcare data can be aggregated and easily accessible, companies will be better able to leverage this data to launch new analytics and machine learning projects. The upside is that this capability will open the door to identifying new trends, patterns, and insights that could significantly improve patient care and patient outcomes.
Interoperability is expected to pose a continued challenge throughout 2018 (and beyond) - Google’s healthcare API may help enable a more seamless healthcare data exchange.
“Our goal with the Cloud Healthcare API is to help transform the healthcare industry through the use of cloud technologies and machine learning. Healthcare 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.”
What kinds of improvements to patient care is Google referring to? Here are just a few examples of machine learning projects impacting patient care:
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SAFe SPC4 certified consultant, proud dad, and former CU Buffs lineman.