SaaS and speech recognition for EHRs

CMIO: “In the past, major barriers to EHR adoption included high upfront costs and lack of IT resources to implement and maintain the technology,” the report stated. “A SaaS model solves both of these issues and Ovum believes it is the best approach for physician offices and small hospitals. With a predictable, monthly expense, a subscription-based SaaS EHR is a much easier cost for providers to swallow.” Speech recognition tools have helped increase EHR adoption among clinicians by increasing the accuracy of the patient health record—providers don’t need to make as many corrections. Speech recognition should feed directly into the PHR without the lag time of transcription, according to the report.” – It makes sense that Software-as-a-Service (SaaS) and speech recognition could be used to increase EHR adoption rates. Together they offer several potential benefits as well as creating a better user experience. In fact, I’m a fan of both and have blogged about how I think they could be used in pharmacy; here and here.  However, in regards to speech recognition, an educational session at the 95th Annual Meeting of the Radiological Society of North America (RSNA) reports that “a study by Zoltani and colleagues conducted at their facility found that 68 percent of more than 17,000 finalized reports contained errors, 15 percent of which could potentially change the meaning of the report. A radiologist’s experience, sex and caseload were not associated with significant differences in error rates.”

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