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Several New Studies Highlight Importance of Clinical Decision Support and Real-time Analytics

December 1, 2014

As 2014 comes to an end, there has been a series of new studies that have highlighted the importance of clinical Decision Support (CDS) and real-time analytics as key drivers to improving care quality.

 Hospital terminal

According to a study published in the American Journal of Managed Care, Health IT Analytics had reported that when it came to Clinical Decision Support required under Meaningful use standards, CDS had significantly helped to improve quality of care.

Researchers found that:

  • CDS functions were associated with blood pressure control and fewer visits for adverse drug events;

  • CDS functions were associated with better performance on indicators of quality of care and clinical decision support functions related to such quality measures (Mishuris et al., AJMC, 10/28); and

  • Decisions to disable CDS functions were associated with reduced quality of care improvements (Health IT Analytics, 10/31).

CDS can also help avoid and ease clinical workflow challenges such as Alert Fatigue.  In a second study published in the American Journal of Managed Care, this research showed that CDS allowed for more specified alerts that provided data much closer to the point of decision, and at the point of need, and ultimately lead to more accurate and appropriate alerts.

“Aspects of the redesigned alerts that likely contributed to better prescribing include design modifications that reduced usability-related errors, providing clinical data closer to the point of decision…,” the researchers said.


The Office of the National Coordinator (ONC) had also released a paper outlining its 10-year vision for harnessing health IT for quality improvement. In the study, it discusses the importance of clinical decision support and real-time analytics.

The quality improvement vision includes:

  • Rapid translation of research, evidence, or best practices into electronically actionable guidelines that enable decision support, quality measurement and reporting
  • Capturing data once and reusing it many times
  • Valid, reliable and accurate patient outcome measures
  • Robust and real-time analytical tools for routine, practice-level and ad-hoc measurement.
  • Interoperable and easy- to-use tools for collecting and using existing data in multiple ways.

For additional information about how CDS and analytics are transforming the healthcare industry, be sure to follow us on Twitter, Facebook and LinkedIn.

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