Voice and Acoustic Use Cases in Healthcare

Issue 17 - Special Series: Voice + Acoustics Front and Center in Healthcare

The content and distribution of Azafran’s INSIGHTS newsletter is focused to our LP, incubator, research, investment and partner ecosystem. As we look to build a two-way dialogue benefitting our collective efforts, each month we highlight important news and our approach to the emerging intersection of deep technology, end to end solutions and platforms driven by voice, acoustics/sensory and imagery.

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Voice and Acoustic Use Cases in Healthcare

Following are voice and acoustics/sensory use cases, some from companies that Azafran has discovered from events like the The Voice of Healthcare Summit, Azafran Research and other sources:


  • Azafran Watchlist Company that serves as a Voice Assistant for electronic medical records with a focus on eliminating the need for extra “hands” to enter or recall patient health data during exams.
  • Azafran Pipeline Company that processes voice recordings through algorithms that can detect a variety of voice-effected health conditions: including respiratory, cognitive, neurological, and cardiovascular condition, flags unusual speech patterns to screen for diseases and track existing disorders.
  • Hardin Memorial Health has implemented voice-activated communication in its emergency department enabling staff without a free hand to communicate and can stay in touch with their teams.
  • Voice interfaces are also being applied to in-home care - one example is Libertana Home Health that is utilizing Orbita’s voice platform to make an Alexa skill that lets seniors check daily schedules, get reminders and confirm they’re taking their medications.


  • Azafran Watchlist Company that identifies the presence of subjects’ disease and health conditions using speech and language technologies and machine learning algorithms. In the process, simplifying the diagnosis and assessment of conditions through speech rather than use of MRIs/CT scans.
  • Azafran Watchlist Company that uses Natural Language Understanding to recognize contextual and emotional patterns in words and phrases within a conversation with
    the goal of detecting issues ahead of when they occur. Researchers are analyzing recordings of patient voices for diagnostic clues - one example is the Mayo Clinic studying voice biomarkers of coronary artery disease.
  • DigiPsych Lab at University of Washington is discovering voice biomarker connections with 13 neuropsychiatric conditions like depression, Alzheimer’s and Parkinson’s. (Sources: Azafran Research, Fierce Healthcare)

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