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Clinician Digital Workflow 2024
Streamlining EHR Workflows with AI & Other Advanced Technologies
The EHR holds a plethora of information that helps healthcare organizations provide better, more-informed care, but it takes time for users to find the most relevant data for current patients. As a result, many organizations are turning to clinician digital workflow solutions, which automate and streamline clinical workflows within the EHR—primarily chart reviews, documentation, and care team coordination. Recent advancements in AI and other technology have resulted in further traction of these solutions, as organizations believe the advancements have the potential to enhance clinicians’ EHR experience. This report—KLAS’ first to focus on clinician digital workflow solutions—examines vendor performance, the solution capabilities being used, and the impact of advanced technologies on interviewed customers.
Note: Overall, interviewed customers in this market are satisfied, but since this is a developing market, the customer bases for measured solutions are fairly small. KLAS will continue to monitor customer experiences as new vendor solutions are adopted by the market.
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Key Findings:
- Regard* Customers Report Smooth, Well-Supported Implementation Processes & Increased Revenue from Improved Coding & Billing
- TransformativeMed* Customers Using Oracle Health’s EHR Say EHR Integration & Care Team Coordination Tools Are Strengths
- Navina* Offers Strong Support & Effective Training; Customers Appreciate AI & Would Like Further Automation
*Limited data
Writer
Sarah Brown
Designer
Breanne Hunter
Project Manager
Andrew Wright
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. © 2024 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.