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Can My EHR Get Me There?


An Arch Collaborative Impact Report

Authored by:  Taylor Davis, 05/14/2019 | Read Time: 2 minutes

The KLAS Arch Collaborative has collected the feedback of over 80,000 clinicians at 180+ organizations across 9 countries and found that which EHR vendor they use does not determine satisfaction on its own.




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How Much Does the Software Matter?

For 73% of measured organizations, KLAS has found at least one instance in the organization of two physicians of the same specialty using the same EMR software who gave diametrically opposite responses to whether the EMR enables them to deliver high-quality care (one physician strongly agreed and the other strongly disagreed).



The Impact of the EHR

Organizations who participate in the Arch Collaborative are self-selected, so they do not represent a random sampling of user experience, but they can show what is possible.

While stable, functional, integrated software is obviously a foundational requirement for success, a focus on the people and processes around an EHR is what separates the successful organizations from the unsuccessful ones.

Collaborative organizations using Epic have shown the greatest consistency in achieving high satisfaction, but it is unclear how much of that success is driven by the EHR. Even in measured areas that tend to be more technical in nature, such as system response time or reliability, Epic has generally been much more prescriptive than other vendors, requiring specific system configurations or processes.

Before an organization switches EHR solutions, it is critical (and dramatically less costly) for efforts to focus on the following:


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This material is copyrighted. Any organization gaining unauthorized access to this report will be liable to compensate KLAS for the full retail price. Please see the KLAS DATA USE POLICY for information regarding use of this report. © 2019 KLAS Research, LLC. All Rights Reserved. NOTE: Performance scores may change significantly when including newly interviewed provider organizations, especially when added to a smaller sample size like in emerging markets with a small number of live clients. The findings presented are not meant to be conclusive data for an entire client base.

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