Population Health Management Needs Fueling Data Analytics Frenzy, Survey Finds

A passion to improve population health is the top driver behind healthcare's dive into data analytics, according to 2016 Data Analytics and Integration metrics from the Healthcare Intelligence Network (HIN).

Sea Girt, NJ, March 09, 2016 --(PR.com)-- 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 the name of value-based healthcare has never been stronger.

The healthcare publisher's January 2016 survey identified a number of factors behind widespread data analytics adoption, including population health management (25 percent), predictive analytics (15 percent) and cost savings (15 percent).

More than three-quarters of responding organizations—77 percent—already have delineated data analytics and integration strategies, the survey found.

Download more metrics from the complimentary HINtelligence report, Data Analytics & Integration in 2016: Actionable Information Shapes Care for Healthcare 'Hot-Spotters,' Pares Cost, at http://www.hin.com/library/registerDataAnalytics2016.html

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.

News Facts: HIN's white paper, Data Analytics & Integration in 2016: Actionable Information Shapes Care for Healthcare 'Hot-Spotters,' Pares Cost, summarizes January 2016 feedback from nearly 90 hospitals, health plans, physician organizations and others on their data analytics approach.

This 2016 snapshot of data analytics and integration trends also identified the following metrics:

- 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 more metrics from the complimentary HINtelligence report, Data Analytics & Integration in 2016: Actionable Information Shapes Care for Healthcare 'Hot-Spotters,' Pares Cost, at
http://www.hin.com/library/registerDataAnalytics2016.html

Quote attributable to Melanie Matthews, HIN Executive VP and COO:

"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. To survive in healthcare's new 'fee for quality' world, organizations must be ready to back up their claims with hard data."

For Melanie Matthews's profile, please visit http://www.hin.com/bios.html#mm

Please contact Patricia Donovan to arrange an interview or to obtain additional quotes.
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