Voice Recognition & Transcription Assistants Can Ease EHR Burden A medical transcription company will help you transcribe large volumes of audio/video medical recordings and also ensure accuracy in your records.
As a medical transcription company, we understand the value of EHR in the healthcare setup for ongoing clinical decision making, providing quality patient care, quick reimbursement and risk management. Healthcare providers and transcriptionists should review and edit the health record to ensure that only relevant and patient-related data are recorded in the EHR and also maintain its accuracy. Physicians should consider every patient encounter seriously to provide top level service, to meet patient requirements and for quick reimbursement. According to a study published in Family Medicine, primary care physicians spend an average of at least 30 percent of a doctor-patient visit working on their electronic health records (EHRs). While an average visit lasts for 35.8 minutes, the time spent on EHRs included 2.9 minutes prior to entering the room, 16.5 minutes of face-to-face time, 2 minutes in the room, and 7.5 minutes of non-face time. Additionally, 6.9 minutes were spent working
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on the EHR outside of clinic hours. This shows that physicians are considerably burdened with EHR documentation. However, technology has come up with new and innovative solutions that can remove this documentation burden from physicians. Digital assistants like Siri and Alexa listen to what the doctor has to say and transcribe that correctly into administrative systems. There are several tools that can listen to patient- doctor visits and free up the physician’s time. San Francisco-based Augmedix aims to improve the power of Google Glass to make healthcare more patient-centric and reduce the amount of paperwork by generating medical notes in real time, while doctors have a conversation with their patients. Voice recognition technology is also used widely and has the potential to replace conventional method of dictation. Nuance communication has developed a software called Dragon Medical One, which can help health care companies’ record patient medical experiences using natural language processing. They have helped Allina Health, a health care provider, which integrated the software into its EPIC EHR, and speeded up the time for its doctors to fill out electronic health records. As per a case study, Allina Health saw a 167 percent increase in how much medical documentation they were able to produce by the time of publishing. Moreover, there are advanced clinical devices like thermometers, blood pressure cuffs etc that can record readings in the patient record. All the above data show that voice recognition and AI can improve clinical documentation but the truth is that up to 98,000 people die each year due to preventable medical errors, some of which may link to critical inaccuracies in documentation like incorrect drug prescription, inaccurate diagnosis etc. AI voice recognition accuracy ranges from 88.9 to 96 percent, though vendors often market these products as 99 percent effective. On the other hand, dictation and transcription have a 99.6 percent accuracy rate which can significantly reduce the risk of error and malpractice. So, when a physician decides to implement voice recognition in his office, he still needs to either re-edit documentation, or hire a transcriptionist to edit it in real time. Voice recognition software lacks contextual understanding. They can hear and transcribe words individually and uncommon vocabulary is often wrongly transcribed. However, human transcriptionists are trained and skilled people who are knowledgeable in medical terminology. Physicians may often want to add or remove a note to a certain section of a
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patient's health record. This task requires numerous mouse clicks and movements from the transcriptionist which are largely impossible for a voice recognition program to accomplish independently. This shows that no technology can as yet entirely replace human transcriptionists. Software developers need to focus on integrating the voice programming as well as adequate review into the existing workflow. More contextual understanding is vital for more accurate transcriptions. This calls for more sophisticated technology. As of now, health systems that adopt AI technology and voice recognition must implement review safeguards to prevent liability and expensive medical malpractice litigation. So, an integrated approach of voice recognition and medical transcription service to assist with proofreading the transcripts can yield better medical records. Make sure to hire a reliable medical transcription service that can work with the latest technology.
www.medicaltranscriptionservicecompany.com
918-221-7809