Posts Tagged ‘data warehouse’

Infographic: The Power of Medical Device Data

March 11th, 2016 by Melanie Matthews

Healthcare organizations are recognizing the value of integrating medical device data for comprehensive and timely data analysis to drive informed clinical and operational decisions, according to an infographic by Capsule, a Qualcomm Life company.

The infographic highlights the power of a vendor-neutral medical device information system to go beyond sending data to an EMR by automating the capture and sorting of the voluminous amount of data gathered from medical devices. Then, through integration capabilities, specific data can be shared with other healthcare applications and systems for alarm notification, patient surveillance, clinical decision support, and even the management of the device assets themselves, helping to improve patient care.

As quality and value increasingly drive healthcare rewards, the generation, sharing and analysis of patient data is a prerequisite for organizations desiring to enhance clinical outcomes and drive down cost. Yet the burden of creating infrastructure to support health information management deters many payors and providers from fully engaging in a robust business intelligence strategy.

2016 Healthcare Benchmarks: Data Analytics and Integration examines the goals, data types, collection processes, program elements, challenges and successes shared by healthcare organizations responding to the January 2016 Data Analytics survey by the Healthcare Intelligence Network.

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11 Healthcare Data Analytics Trends to Know

March 3rd, 2016 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.