Automated capturing of clinical notes through natural language processing (NLP) reduces clinician admin work, freeing up more time to focus on patients.ĪI-based speech-to-text technologies can help ease these pressures by minimizing much of these administrative tasks. Not only does this eat into valuable patient time, but also contributes to excessive work–life imbalance, dissatisfaction, high rates of attrition, and burnout. Reducing administrative burden of clinical documentationĪ study by the American Medical Association (AMA) and the University of Wisconsin, shows that nearly 50% of clinician time is spent on admin work, including documentation, order entry, billing and coding, and system security. In this article, we explore how exactly AI is making EHR systems more efficient.ġ. This is a concern for the US healthcare system, as extended care delivery times translate into higher costs for patients as well as physician burnout and job dissatisfaction.Ī slew of healthcare and technology firms have stepped up to address this challenge and more through AI. A US study by the American College of Physicians found that doctors spend an average of 16 minutes per patient on EHR functions across specializations. While the use of electronic health records (EHR) aims to help clinicians meet these demands, it has yet to optimize their productivity in a significant way. We are very familiar with Nuance’s advanced technology, domain expertise, and world-class technical team and share the company’s mission to make what matters to alleviate the clinical documentation burden on clinicians around the world”, said Saykara, Founder and CEO Harjinder Sandhu.Īccording to Mercom Digital Health Q4 and Annual Funding and M&A Report, Digital Health companies raised a record $14.8 billion in VC funding in 2020.The importance of efficiency, speed and productivity in healthcare delivery is indisputable. “I welcome the opportunity to rejoin the market leader in conversational AI and ambient clinical intelligence, and the impressive Nuance research and development team – especially at this important juncture in the development and adoption of these AI-powered healthcare innovations. With a shared vision, we will continue our aggressive focus on innovation, growth, and on delivering industry-leading AI-powered solutions that meaningfully address the compelling business problems that our healthcare clients and their clinicians face every day.” This acquisition welcomes some familiar and highly respected technology leaders whom I am excited to have joined our research and development team, which consists of the best and brightest minds in applying AI and machine learning to healthcare. Joe Petro, Nuance Executive Vice President, and Chief Technology Officer, commented: “The complementary technology built by the Saykara team aligns strongly with our technology portfolio and growth strategy as well as the needs of our clients. With this acquisition, Nuance plans to expand its market in conversational artificial intelligence (AI) and ambient clinical intelligence (ACI) solutions that reduce clinician burnout, enhance patient experiences, and improve overall health system financial integrity. With the acquisition, Saykara’s team of engineers, machine learning experts, and technology executives will join Nuance’s research and development team. Nuance Communications, provider of conversational AI and ambient intelligence solutions, acquired Saykara, an AI-powered, voice-activated virtual scribe for physicians.įounded in 2015 by Harjinder Sandhu, Ph.D., Saykara’s AI-powered assistant Kara supports physicians in all medical specialties like hospitals, health systems, ambulatory surgery centers, and independent practices nationwide.
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