Top 10 Challenges of Big Data Analytics in Healthcare

Big data analytics in healthcare comes with many challenges, including security, visualization, and a number of data integrity concerns.

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Big data analytics is turning out to be one of the toughest undertakings in recent memory for the healthcare industry.

Providers who have barely come to grips with putting data into their electronic health records (EHR) are now being asked to pull actionable insights out of them – and apply those learnings to complicated initiatives that directly impact their reimbursement rates.

For healthcare organizations that successfully integrate data-driven insights into their clinical and operational processes, the rewards can be huge.

Healthier patients, lower care costs, more visibility into performance, and higher staff and consumer satisfaction rates are among the many benefits of turning data assets into data insights.

The road to meaningful healthcare analytics is a rocky one, however, filled with challenges and problems to solve.

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