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How to Eliminate Speech Recognition Errors As technology progresses, many providers are relying on speech recognition software to expedite the process of clinical documentation. However, errors due to the mistakes of the clinician, poor audio quality, background noise or equipment malfunction are still common. Errors in dictation can make the patient’s health record erroneous. A patient’s health record represents the plan of care and actual care and documents the outcomes. Errors in such documents could reflect in other records quickly within the EHR system; it can confuse the patient, family, care coordinators and clinicians and even result in the death of patient. There are methods to eliminate these errors and prevent them from appearing in the final transcript. In the case of front-end speech recognition (real-time processing of dictated data), it is up to the physicians to view the structured text document, identify the errors and edit the document as it is dictated. This amounts to heavy work for the physicians. In back-end speech recognition system, a draft of the dictation produced is usually sent to the Health Information Management (HIM) department along with the voice file so that medical editors can listen to it, read the draft and correct any mistakes. Medical editors should consider the following to ensure the accuracy of the data sent to the EHR. Proofreading Proofreading the transcribed documents before routing them to physicians can help identify errors. Apart from proofreading the entire document, double check vital information including patient names, medical record numbers and dates. Make sure that the medical record number matches the relevant patient name. Proofreading also helps to recognize left-right (for example, left hand mistaken as right hand) and he-she inconsistencies. Ensure there is no ambiguity in the information presented.
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