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ehrCatalystTM: Delivering a quantum leap in EHR analysis

Filling the Analysis Gap: Doing for EHRs What Web Analytics Did For Internet Shopping

For years, web analytics has enabled vast improvements in the usability, efficiencies, and returns-on-investment of internet shopping sites. ehrCatalystTM applies similar data capture and analytics techniques to uncovering the root causes behind the most critical EHR issues that providers face today. The success of an EHR deployment relies on a myriad of system, process, and user-behavior factors that are interrelated in complex ways.  ehrCatalystTM enables unprecedented insight into the root causes behind common EHR problems, such as those inhibiting the achievement of Meaningful Use.

Flipping the Status Quo on its Head

ehrCatalystTM massively increases knowledge of your EHR's issues at a fraction of the time and cost of current analysis methods. The result is greater EHR and practice improvement per EHR investment dollar and staff hour.




How It Delivers A Quantum Leap in Understanding of Your EHR Deployment

  • Software “agents” unobtrusively capture EHR usage & performance data.
      – System Performance Data: Network bandwidth, response times, …
      – Process Data: Time intervals, bottlenecks, navigational paths,…
      – User Behavior Data: Compliance to protocols, input preferences, mouse-clicks,...

  • Massively increases the volume & types of data versus status quo analysis methods.
      – Quickly and affordably capture usage data over all of your providers at once.
      – Gain deep insights into the user experience, such as where users are getting stuck or taking too many clicks to complete a task.

  • Applying analytics uncovers hidden issues and gives you vastly more insight into known issues.

  • Result: Learn much more about your EHR deployment than ever before, with less time & money compared to existing analysis methods.


    • Features Go Far Beyond Current Methods

    ehrCatalystTM delivers a quantum leap in EHR analysis through features that outstrip current methods along multiple dimensions.



     
     
     
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