Bratin Saha, Vice President of Machine Learning and Artificial Intelligence Services at AWS, explains: “Our healthcare customers and partners tell us they want to spend more time creating innovative clinical care and research solutions for their patients while spending less time building, maintaining, and operating foundational health data capabilities…That is why AWS has invested in building a portfolio of AI-powered, high-performance, and population-scale health applications so that clinicians can spend more time with the patients during the face-to-face or telehealth visits. Tools like HealthScribe aim to solve this very problem, enabling physicians to spend more time with their patients, rather than with documentation. time spent actually seeing patients) have increasingly converged over the last few years, both providers and patients have grown progressively frustrated.Ī physician uses a traditional dictation tool to write notes after a patient encounter. As these two parallel metrics (time spent documenting a visit vs. Moreover, in addition to being arduously burdensome, multiple studies have repeatedly indicated that clinical documentation is one of the most time-consuming aspects of a physician’s workday in some accounts, it was noted to take up 26.6% of a physician’s day, while direct patient care was just one percent higher (27.5%). General medicine fields are especially known for their heavy documentation practices, given that primary care and generalist physicians are often the only touchpoints for many patients, and frequently have to manage a wide array of acute and chronic conditions over the course of many years.
In the modern healthcare landscape, one of the most cumbersome aspects of clinical medicine is the administrative tasks that it often entails, with unyielding requirements for clinical documentation being among the most cited reasons for physician attrition and burnout.
There is immense value behind this technology and how it can potentially disrupt the traditional care delivery process.
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