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Scienza Health
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Vocal Energy

Vocal Energy screening by GIA®, powered by digitalhumanOS™, uses Voice AI, Computer Vision, and Speech Biomarkers to detect vocal energy through a single patient conversation. Screening performance: Clinically validated vocal biomarker screening. Screening takes under 5 minutes with results in 60 seconds.

Vocal energy reflects overall well-being, providing insights into patient engagement and motivation.

Objective measurement of vocal energy allows for personalized interventions in post-acute care. By understanding patient vocal energy, we can optimize therapy and improve outcomes.

Screening PerformanceClinically validated vocal biomarker screening

Key Facts

Screening Time
Under 5 minutes
Results
60 seconds
Modalities
Voice + Vision + Speech
Registration
510(k)
Status
Live
510(k) RegisteredClinically reviewed content·
FREQUENTLY ASKED

About Vocal Energy screening.

How is vocal energy measured?

The system analyzes the amplitude, frequency, and variability of vocal patterns.

How can this information be used to improve patient engagement?

Identifying low vocal energy allows for adjustments to therapy techniques, motivational strategies, and environmental modifications.

How does this validated system help my hospital?

By providing a quantifiable measure of patient engagement, the system helps optimize care plans and improve overall outcomes.

CLINICAL RESEARCH

The science behind Vocal Energy screening.

PEER-REVIEWED RESEARCH

A systematic scoping review from the University of Málaga, published in Biology (MDPI), confirms that voice production consistently engages the autonomic nervous system — with vocal markers providing measurable signals of stress, cognitive load, emotional state, and subclinical clinical conditions detectable before symptoms appear.

Mapping the Neurophysiological Link Between Voice and Autonomic Function: A Scoping Review — Biology, MDPI (2025-10-10) · University of Málaga, Biomedical Research Institute of Málaga (IBIMA Platform BIONAND)DOI: 10.3390/biology14101382

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