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The Benefits Of Speech Recognition In Post-Acute Healthcare

The Benefits Of Speech Recognition In Post-Acute Healthcare

With applications such as Siri, Alexa and Google Assistant becoming more prevalent, it’s no surprise that speech recognition is a growing trend in the medical sector. Earlier in the year, Casamba added nVoq, a provider of HIPAA and PCI-DSS compliant, cloud-based speech recognition and workflow automation platforms. This partnership is particularly helpful for post-acute care, assisting clinicians and staff with:

      • High-Quality Documentation
      • Hassle-Free Coding
      • Streamlined Reimbursement Cycles

In the years to come, speech recognition and work automation will be in high demand throughout the healthcare industry. According to the U.S. Bureau of Labor Statistics, there will be a projected need for 1.1 million new nurses in the next seven years as Baby Boomers reach retirement.

With these trends in mind, let’s break down the benefits of speech recognition for medical clinics and facilities, especially when it comes to post-acute care, and how it is shaping better healthcare for today and tomorrow.

How Speech Recognition Works

In the Digital Age, most of us are already familiar with speech recognition technology accessible from our smartphones or smart speakers. How does this type of technology work? Also, how does speech recognition look in practice at a medical facility? There are essentially two types of speech recognition software.

      • Front-End User + User-Dependent: With this type of speech recognition, spoken words are seamlessly converted into text in real time, eliminating the need for a transcriptionist.
      • Back-End User + User-Independent: Words are recorded in a digital form and then processed by a computer. Afterwards, the transcription requires proofreading from a human editor.

How Speech Recognition Can Better Healthcare

Now that we’ve gone over the specifics concerning post-acute care and speech recognition technology, let’s highlight the benefits of speech recognition in medical facilities, particularly post-acute care. As this technology becomes more prevalent, it will change post-op patient care as we know it!

      • Decreases Paperwork For Clinicians: The number one takeaway for utilizing and implementing voice recognition technology at post-acute clinics and facilities is that it eliminates the need for tedious paperwork and overhead when it comes to administrative tasks. When integrated with existing EHR software, speech recognition is especially helpful for physicians, clinicians and nurses for processing paperwork instantly without having to manually transfer any data, including:
        • Progress Notes
        • Admissions
        • Patient Histories
        • Physical Exam Results
        • Discharge Summaries
        • SBAR Reports
      • Improved Workflow + Patient Care: Already, speech recognition technology is sophisticated enough to provide work automation in the post-acute sector, thereby optimizing efficiency and productivity. This is because many speech recognition platforms queue dictations from multiple users and funnel them towards a specific, pre-defined assistant while also allowing for selective routing for dictation files of your choice. Everyone benefits from this model – post-acute staff and patients alike. If facilities and clinics can save 10 minutes per day with this kind of technology, that adds up to nearly 40 hours in a year that can go straight back to quality patient care.
      • Higher Patient Satisfaction: Undoubtedly, the less time doctors, nurses or clinicians are required to spend on paperwork and administrative overhead, the more they can focus on their patients’ needs. This, in turn, leads to happier patients, higher trust and a better reputation for post-acute facilities. If a caregiver implements speech recognition technology in front of their patients, this only provides extra quality assurance that everything said and shared was recorded and accounted for, making patients feel entirely heard. This allows for higher accuracy when it comes to medical histories and records.
      • Recognizes Accents: For many clinicians, doctors and nurses, the major concern for implementing speech recognition is whether or not accents will inhibit overall performance. However, many medical transcription programs can be trained to recognize any unique voice pattern. In particular, front-end speech recognition platforms can remember previous corrections while also learning new common speech patterns with every use!
      • Easy Accessibility: Speech recognition is particularly useful for medical personnel as a mobile tool that can be accessed across operating systems and digital interfaces – including phones, laptops, and desktops. One of the major challenges is how to secure speech recognition platforms that are used and accessed from personal devices in post-acute facilities.

Healthcare For Tomorrow

In all, speech recognition software is more than just a digital tool – it will prove to be one of the most innovative assets for medical facilities, especially those dedicated to post-acute care. As these platforms and algorithms become more sophisticated and nuanced, many experts predict that speech recognition will become indispensable as a decision support tool when it comes to diagnosis and treatment.

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