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Beyond Outdated Pain Scales
Beyond Outdated Pain Scales
BioMedict revolutionizes pain assessment by capturing the effects of pain duration, type, and intensity in real-time.
Traditional smiley-face pain scales fail to capture the complex reality of chronic pain. They're subjective and miss critical context like pain tolerance, clinical history, emotional state, and fluctuations over time.
This gap in understanding leads to serious consequences: opioid dependency, mental health issues, and potentially invasive procedures.
Our AI-powered application objectively measures the effects of chronic pain using biometrics to continuously monitor heart rate, HRV, sleep and activity levels, providing essential insights for improved wellbeing.
116 Million Adults
116 Million Adults
4/5 Healthcare providers
4/5 Healthcare providers
45% linked to depression
45% linked to depression
Objective Measurement
Objective Measurement
Patients and healthcare providers can now track the biometric effects of pain and mental health such as sleep, activity, resting heart rate and HRV, and monitor progress with real data.
Personalized Treatment
Personalized Treatment
Our proprietary AI model cohorts patients by conditions and demographics, helping find outliers and additional context for more personalized insight.
Cost-Effective Care
Cost-Effective Care
Earlier intervention and a deeper understanding of pain and stress can reduce costs and prevent worse clinical outcomes across surgical recovery, oncology, neuropathy, and more.
Please consult with your healthcare provider before starting or changing any healthcare plan, medication or therapy. The BioMedict app does not diagnose or treat any medical condition.
Please consult with your healthcare provider before starting or changing any healthcare plan, medication or therapy. The BioMedict app does not diagnose or treat any medical condition.
Forte, G., et al. (2022). Heart Rate Variability and Pain: A Systematic Review. Brain Sciences, 12(2), 153.
Koenig, J., & Thayer, J. F. (2016). Autonomic Regulation and Pain: Towards a Neurovisceral Integration Model. Neuroscience and Biobehavioral Reviews, 66, 166-177.
Tabor, A., et al. (2018). The Utility of Heart Rate Variability as a Non-invasive Measure of Pain in Clinical and Experimental Pain: A Systematic Review. Pain Practice, 18(6), 793-806.
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