Stress
Stress screening by GIA®, powered by digitalhumanOS™, uses Voice AI, Computer Vision, and Speech Biomarkers to detect stress through a single patient conversation. Screening performance: Clinically validated vocal biomarker screening. Screening takes under 5 minutes with results in 60 seconds.
Chronic stress takes a heavy toll, impacting physical and mental health, and hindering recovery.
Objective measurement of stress levels allows for personalized interventions in post-acute care. By understanding patient stress, we can optimize care plans and improve outcomes.
Key Facts
- Screening Time
- Under 5 minutes
- Results
- 60 seconds
- Modalities
- Voice + Vision + Speech
- Registration
- 510(k)
- Status
- Live
About Stress screening.
How is stress measured using this system?
The system analyzes vocal patterns, speech characteristics, and facial expressions to assess stress levels.
What interventions can be implemented based on stress level assessments?
Interventions may include stress-reduction techniques, counseling services, and adjustments to the care plan.
How does this validated system impact the quality of care?
By providing an objective measure of stress, we can tailor interventions to meet individual patient needs and improve overall well-being.
The science behind Stress screening.
A study of 340 individuals confirms that voice is a reliable indicator of stress — with vocal analysis outperforming self-reported stress measures in clinical accuracy.
Voice: An Indicator of Stress (2022-06)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 →