Big Data Analytics for Healthcare

The Future of Healthcare is Data-Driven

The healthcare industry has access to huge volumes and varieties of big and real-time data. These healthcare payers, providers, and the organizations that support them however, often don’t have access to big data analytics software that allow them to visually explore, interact with, and extract insights from all that data.

Dr. Charles Boicey - Clearsense

One of the most compelling aspects for big data analytics for healthcare is being able to finally move at a much more rapid pace, which can mean drugs are approved faster, knowledge from medical leaders is shared and lives are saved.

Dr. Charles Boicey MS, RN-BC, Chief Innovation Officer


Big and Complex Healthcare Data

When it comes to big data intelligence, healthcare organizations have the same technology limitations that hamper companies in other industries. Healthcare data is too big, generated too fast, and managed across so many disparate systems that it presents significant technical, economic, and cognitive barriers to achieving data-driven insights.

But in healthcare, these limitations are even harder to overcome. Biological and medical data is very complex, with many deep and meaningful cross relationships. Even many of the cutting-edge BI tools have been built for use cases with inherently simpler data sets.


Accessible and Comprehensive Healthcare Data

Real-Time Healthcare Metrics at the Point of Care

Another Zoomdata customer embeds Zoomdata’s analytics in solutions that collect and display near-real-time data in a hospital setting.

With Zoomdata, hospital clinicians can connect to, visualize, and explore healthcare data across:

  • Physiological monitors
  • EMR systems
  • Clinical records
  • Environmental data
  • Patient data

Zoomdata’s simple-to-access and easy-to-use interactive dashboards display the “metrics that matter” at the point of care.



Learn how big data is being used to accelerate the identification and treatment of health challenges facing minority and underserved populations.


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Big Data Analytics for Healthcare

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