The era of big data is here to stay—and the data is only getting bigger, especially when it comes to big data healthcare analytics. Today’s providers generate and collect data from a vast array of internal sources: electronic health records (EHRs), pharmacy sales, prescription information, lab tests and insurance claims data, to name but a few.
Add in external sources and the challenge of exploiting the potential benefits of this data become even greater.
Fortunately, business intelligence (BI) and analytics tools can help. Using these solutions, health care providers can transform a potentially overwhelming flood of data into insights and opportunities.
In this e-book, we speak with experts on the front lines of big data healthcare analytics and and explore five real-life use cases that show how BI can be deployed successfully to reduce costs, increase efficiency and make care more patient-centric.
Free Download:
How Big Data and Health Care Analytics Reduce Costs and Improve Care: 5 Use Cases
In this e-book, you’ll learn:
✦ How one provider used healthcare analytics to save $1.2 million on knee replacement operations.
✦ How doctors are leveraging big data to provide cancer treatments based on massive patient data sets.
✦ How embedded BI can empower patients to improve their own health.
Download our free ebook now to learn some of the ways your organization can use BI and healthcare analytics solutions to better leverage data.
