Speech Recognition: Front-End EHR

Systems clinicians use for real-time voice-to-text conversion, enabling them to start, edit, complete, and sign off on notes or reports without using transcription services.

Subject Expert
Mac Boyter
Research Director
KLAS Research Director - Mac Boyter
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Performance Data

Overall Score by Product

Example Speech Recognition: Front-End EHR overall score by product image

Products Appearing in Decisions

Example Speech Recognition: Front-End EHR products appearing in decisions image

Overall Score by Question Topic

Example Speech Recognition: Front-End EHR overall score by question topic image

Provider Facility Size by Product

Example Speech Recognition: Front-End EHR provider facility size by product image

Provider Facility Type by Product

Example Speech Recognition: Front-End EHR provider facility type by product image



Reducing Filters

Unlike sizing filters, reducing filters DO NOT recalculate scores based on the evaluations that meet these requirements. They narrow the list of solutions to show the vendors and solutions that can meet a specific need.

This data is based on interviews with a sample of the firms' recent clients. As a result, it is not necessarily comprehensive of all work a firm may do in this segment.

We require a minimum of 2 confirmations of a service performed in the last 3 years for a solution to qualify.

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