11 Healthcare Data Analytics Trends to Know

Thursday, March 3rd, 2016
This post was written by Patricia Donovan

Population health management is the driving force behind healthcare's data analytics explosion, according to new market metrics from the Healthcare Intelligence Network.

What’s driving healthcare’s data analytics delirium? Increasingly, it’s population health management.

A passion to enhance population health has motivated 25 percent of healthcare organizations to dive into data analytics, according to the latest Data Analytics and Integration metrics from the Healthcare Intelligence Network (HIN).

With reimbursement for services increasingly riding on readings from clinical outcomes, patient experience and cost of care, the desire to slice and dice patient and population data in order to provide value-based healthcare has never been stronger.

The healthcare publisher’s January 2016 survey identified a number of factors behind widespread analytics adoption. More than three-quarters of responding organizations—77 percent—already have delineated data analytics and integration strategies, the survey found.

Additionally, having applied the actionable information these programs yield to craft population-based interventions, 41 percent already report declines in total spend they attribute to data analytics. Hand in hand with these savings are appreciable spikes in quality ratings, report 58 percent of respondents.

Given their potential cost, risk and utilization patterns, it’s not surprising high-utilizers or hot-spotters—patients with frequent ER visits and hospital stays—are the key target of data analytics programs for 74 percent of responders.

But hot-spotters are by no means the only data analytics targets. A majority of adopters—60 percent—collect data on upwards of 75 percent of patient and member populations served.

“As the path to value-based purchasing becomes clearer, care management platforms without a vast warehouse of clinical, claims and cost data that they can draw upon in order to measure provider and organizational performance will flounder,” noted Melanie Matthews, HIN executive vice president and chief operating officer. “To survive in healthcare’s new ‘fee for quality’ world, organizations must be ready to back up their claims with hard data.”

Here are some other highlights from HIN’s inaugural Data Analytics and Integration survey conducted in January 2016:

  • Clinical and operational dashboards lead the list of data analytics tools for 62 percent of respondents.
  • Diabetes is the top clinical condition targeted by data analytics, say 58 percent of respondents;
  • „„The collection of healthcare data is the top challenge of analytics and integration efforts for 28 percent of respondents;
  • „„Beyond population management, predictive analytics and cost savings are key goals of data analytics efforts for 15 percent of respondents; and
  • Almost two-thirds of respondents experienced a drop in ER utilization that they attribute to data analytics.

Download a complimentary executive summary of HIN’s 2016 Healthcare Data Analytics and Integration trends to learn why data analytics is the framework for population health management.

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