Ambient Listening in Healthcare: Dictation, Documentation and AI

Ambient listening traces its roots to automating clinical documentation. Now it’s poised to streamline other administrative workflows, reducing burnout and improving decision-making along the way.Natural language processing and ambient listening aren’t necessarily new to healthcare, but the technology is quickly evolving to move beyond dictation. Leading products now leverage artificial intelligence to make use of the data generated from the transcript of a clinical visit to generate insights, automate processes that otherwise require manual data entry and make the practice of medicine less burdensome.“Ambient AI is poised to have a big impact in alleviating administrative burden, which is a significant driver of burnout,” says Punit Soni, founder and CEO of Suki, which makes an AI assistant for clinical use. Soni pointed to a recent Doximity report noting 81% of physicians feel overworked, 15% are considering leaving their practice due to burnout, and 30% are considering early retirement.

Medigy Insights

Integrating ambient listening with clinical systems beyond the EHR illustrates the technology’s potential. One example is the ability to listen to alerts from sensors and other monitoring devices in patients’ rooms and provide context so clinicians can make more informed decisions. Another is the potential to search clinical data for early signs of a disease, especially rare conditions that are often difficult to diagnose.

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