Tell us about you

Work Email required

Organization required

First Name required

Last Name required

Job Title required

Phone required (###) ###-####, or int ######...

City required

State/Province required

Tell us about your organization

error messages will go here...

Looks like we’re already familiar with you!

Please press next to continue with the survey.

Looks like we’re already familiar with you!

According to your account type you are not eligible to take surveys at this time. If this is a mistake, please contact KLAS.

If you are trying to access KLAS research data and reports, an email has been sent to   with a link to login.

If the email doesn't appear in your inbox, ask your IT department to add KLASresearch.com to your company spam filter's "whitelist", and check your email's spam folder.

Membership Commitment

In exchange for giving their feedback, healthcare providers can create an account to get access to industry reports, user commentary, and real-time ratings.

By submitting your account request, you are engaged in patient care as either an employee (or contractor) of your provider organization and that you confirm that you have reviewed and agree to abide by the Terms of Use for this website as updated periodically.

To learn more about how we process and protect your personal data, you may view our Privacy policy.

By submitting your account request, you confirm that you have reviewed and agree to abide by the Terms of Use for this website as updated periodically. To learn more about how we process and protect your personal data, you may view our Privacy policy.

By submitting your account request, you confirm that you have reviewed and agree to abide by the Terms of Use for this website as updated periodically.

To learn more about how we process and protect your personal data, you may view our Privacy policy.

 

To learn more about how we process and protect your personal data, you may view our Privacy policy.

 

To learn more about how we process and protect your personal data, you may view our Privacy policy.

Thank You! Your information was submitted successfully!

Next Steps - An email has been sent to . Please follow its instructions to verify your email, and login.

If the email doesn't appear in your inbox, try asking your IT department to add KLASresearch.com to your company spam filter's "whitelist", and checking your email's spam folder.

Thank You! Your information was submitted successfully!

Next Steps - A KLAS representative will contact you to discuss working with KLAS, typically within 24 to 48 hours.

If you have any further questions please contact info@klasresearch.com or 1-800-920-4109.

Surprise! Looks like we already have an account for you.

An email has been sent to blah@blah.com with a link to login.

If the email doesn't appear in your inbox, try asking your IT department to add KLASresearch.com to your company spam filter's "whitelist", and checking your email's spam folder.

Do Scribes and Voice Recognition Improve EHR Satisfaction? - Cover

Do Scribes and Voice Recognition Improve EHR Satisfaction?

As the Arch Collaborative effort has grown, we’ve heard from countless provider leaders that documentation burden is a key factor in their clinicians’ dissatisfaction with the EHR.

Admittedly, data-entry inside the EHR has exploded since they were first implemented in healthcare. It’s no secret that many clinicians rightly feel the EHR is better for billing than for patient care.

As clinician burnout gains an increasing focus in industry conversation, health systems are pushing on EHR vendors to create more usability systems, while simultaneously contracting third party vendors to help alleviate the workflow woes created by electronic records.

One solution that many health systems have come to rely on is using scribes and voice recognition technology to reduce the documentation burden of their end users. Providers hope that by providing a degree of separation between clinician and data entry, satisfaction will improve.

So, the Arch Collaborative asked the question: “How does using either scribes or voice recognition impact the satisfaction of EHRs?”

We published the answer to that question in our most recent EHR Mastery report: 

 

Difference in Net EHR Experience Score with Scribe Access - By EHR Vendor

 

Difference in Net EHR Experience Score with Voice Recognition Access - By EHR Vendor

 

We found that there is no significant correlation between these two tools and the satisfaction of clinicians who use them. In fact, if anything, we saw a slightly negative correlation between scribes/voice recognition software and user satisfaction.

Which begs the question, “why is that?”

 

  • Clinicians who struggle with documentation and feel they need these tools are already struggling with the EHR.

 

  • More technology doesn’t help people struggling with technology. It only adds another layer of complexity.

Often, health systems that implement these tools do so based on the feedback they receive from clinicians about how disgruntled they are with the EHR. Scribes and voice recognition act merely as a band-aid, covering up a deeper flaw in the EHR instance itself. 

This is not to say that voice recognition software won’t eventually become sophisticated enough to overcome these obstacles and become a seamless solution for data entry – but the data show that the current-state tools do not have that kind of impact.

Differences in Satisfaction by Level of Documentation Method

When we break out documentation methods by satisfaction, we see that personal entry yields above average satisfaction scores from clinicians. Voice recognition only produces average results for clinicians who use it and clinicians who use scribes for data entry report satisfaction levels nine points below average.

For the time being, it would seem that “the good old-fashioned way” remains the best option for satisfied clinicians. Arch Collaborative data also supports the idea that clinicians with higher levels of personalization have greater satisfaction. 

It makes sense that physicians who make personal data entry effective (through personalization) would be happier than those who seek to disengage from the system entirely.

This EHR mastery report contains several key takeaways, but one of the biggest is that scribes and voice recognition software aren’t having the massive impact that health systems have hoped for, yet.

That’s not so say that they won’t eventually be a key component in an EHR optimization strategy, but for now, you can’t rely on these tools to solve your documentation woes.

If you’d like to see the executive summary, with additional findings from our report, shoot us an email at Archcollaborative@klasresearch.com.