Voice recognition technology replaces conventional dictation in many healthcare information systems, including Electronic Health Record (EHR). Voice recognition is undoubtedly able to eliminate transcription costs, but how about transcription errors? Is it able to listen and interpret better than a human? The answer to both questions is yes, especially if it is “trained.” A physician can generally start using voice recognition and expect 95 percent accuracy.
The tongue processing characteristics of voice recognition technology allow spoken words to minimize into specific data fields, not just free text blocks. Voice recognition may be highly intuitive if an EHR system is programmed to include dynamic, command-based responses. If an EHR system is supposed to function jointly with voice recognition technology, physicians should not speak in complete sentences or provide comprehensive narratives. An EHR system can and should, be programmed to exercise dynamic, command-based responses according to specific forms of procedures, techniques, symptoms, care plans, etc. Thousands of dynamic, command-based responses programmed within an EHR system can substantially reduce the time it might go for performing conventional dictation. Also, physicians’ voice files, which they will train using their voice and make corrections in real-time to the text within the EHR, can now be stored within the cloud. Suggesting that physicians access identical voice files, documenting within the EHR during a patient visit or on their movable.
Electronic Health Record (EHR) information is for various purposes. Data is used to compile a comprehensive anamnesis, support clinical research, or facilitate diagnosing and treating patients where accuracy is critical. Handwritten chart notes have become less acceptable, although some physicians still prefer this method because it is familiar. Traditional dictation and transcription documentation are labor-intensive. Therefore, the pool of skilled medical transcriptionists is shrinking as EHR adoption expands and more practices move toward a digital record-keeping system. The US bureau expects a slight but steady decline in available jobs for medical transcriptionists within the coming decade. Trained voice recognition also helps overcome many of the problems surrounding general dissatisfaction with EHR systems. Within the absence of voice recognition, physicians usually encounter a lengthy series of screens, tabs, checkboxes, etc., which causes them to exhaust 5 to 12 minutes, 100 mouse clicks, and an abundance of manual data entry to supply one exam note. Physicians are frustrated because they cannot possess enough face time with patients but instead, they spend an excessive amount of time doing data entry and not seeing as many patients. Alternatively, they are spending time doing data entry after the workday. With trained voice recognition and dynamic command-based responses, one exam note should take 90 seconds and help prevent physician burnout.
By adopting an EHR with trained voice recognition, a physician practice can save a considerable amount of time and money and increase the number of patients they attend.