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Healthcare Analytics

What is healthcare analytics? Depending on the user or practice, it can range from big healthcare data and big data analytics to consumer and patient analytics. 

The age of big data has certainly reached clinical medicine and medical research. With big data, the specific health data of entire groups, populations, or individuals can be leveraged to improve outcomes, cure disease, and prevent or manage epidemics. 

For individual medical practitioners, the financial incentives of outcome-based treatment (relatively new in the U.S.) have increased the need to share patient information, In addition, physician decision making has moved rapidly towards a more evidence-based model, whcih requires access to growing volumes of both clinical and research data.

Outside of research and clinical data on patients and outcomes, healthcare analytics also encompasses the data health providers use to improve operations and market to patients, including generic non-HIPAA data points such as facility utilization, facility specs, services used, and the geographical dispersement of served patients. These types of data points are used by both providers in smaller clinical setting and larger hospital groups alike. These data points are used to improve operational efficiency -- from facilities to service lines offered as well as to help market both existing and new services to potential patients.

Snowflake and Healthcare Analytics

By embracing a cloud data platform such as Snowflake, organizations can use data in healthcare to drive innovation with large-scale clinical data analysis and genomic analytics, access and utilize the growing healthcare IoT ecosystem (IoMT), and improve healthcare operations and marketing.

To learn more, download our ebook, 5 Ways Data Is Transforming Healthcare and Life Sciences.