Digital Pain
Digital Pain - Related Videos
14:56
An Experimental Paradigm for the Prediction of Post-Operative Pain (PPOP)
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Cited by 107 •
2010
Diffuse noxious inhibitory control, temporal summation and wound hyperalgesia testing are demonstrated in the obstetric patient. These tests evaluate inhibitory and excitatory mechanisms of pain processing and are here utilized to evaluate endogenous analgesia at different time-points during pregnancy and the peripartum period to help reveal individual s risk for persistent pain.
01:34
Early Intervention and Pain Management
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2026
All animal procedures described here must be conducted in accordance with institutional animal ethics guidelines and approved by IACUC. All procedures must follow the principles of the 3Rs—Replacement, Reduction, and Refinement—and must be performed by trained personnel. Monitoring Animals for Signs of Pain and Distress Recognizing early signs of pain is essential for ethical animal research. Animals are routinely monitored using behavioral, physical, and physiological parameters that reflect...
11:46
Urinary Bladder Distention Evoked Visceromotor Responses as a Model for Bladder Pain in Mice
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Cited by 19 •
2014
Approximately 3-8 million people in the United States suffer from interstitial cystitis/bladder pain syndrome (IC/BPS), a debilitating condition characterized in part by pelvic pain. In order to study nervous system contributions to the condition, a physiological model of urinary bladder pain is used in mice and rats.
07:28
A Protocol of Manual Tests to Measure Sensation and Pain in Humans
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Cited by 24 •
2016
The goal of this procedure is to demonstrate a battery of quantitative techniques for sensory and pain measurement in humans. The equipment and techniques described are commonly found in pain clinics or are easy to obtain.
09:00
Quantifying Pain Location and Intensity with Multimodal Pain Body Diagrams
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Cited by 4 •
2023
Current pain scales used to quantify pain severity, such as visual analog scales, fail to capture the complexity of subjective pain experiences. Pain body diagrams are qualitative but may be more informative. The goal of this method is to extract quantitative metrics from pain body diagrams using novel pressure-hue transformation.
FAQs
Algorithms examine patterns across patient-reported symptoms and measurements such as activity, sleep, or other health data. These patterns can help identify changes in pain or treatment response and support tailored education, cognitive behavioral strategies, or exercise guidance. Their usefulness depends on the quality and consistency of the information entered or collected, rather than on automated analysis alone.
Pain diaries capture the patient’s reported symptoms, while activity and sleep measurements add information about related daily experiences. Considering these sources together can provide a more continuous view than relying on occasional clinical conversations. In medicine, the combined record may help clinicians and patients recognize patterns, follow changes over time, and assess whether management is producing meaningful improvement.
Usable design, reliable data, privacy protection, and integration with evidence-based care all influence value. If an app or platform is difficult to use, the record may become incomplete; poor-quality data can weaken interpretation, while inadequate privacy may reduce willingness to participate. Digital support works best when it complements appropriate clinical care instead of operating as an isolated solution.
A clinic visit provides a focused assessment at a particular time, whereas digital monitoring can gather symptom reports and related health information between visits. This broader timeline may reveal changes that an isolated appointment does not capture and can support remote follow-up. It does not replace clinical judgment, but it can give clinicians additional information for ongoing decision-making.
A patient may record symptoms through a pain diary, share information through an app or web platform, and contribute activity or sleep data from a wearable sensor. Telehealth or other remote follow-up can then review changes, while digital programs provide education, cognitive behavioral strategies, or exercise guidance. Clinicians use the resulting information alongside evidence-based care.
These approaches can support both acute and chronic pain care when symptoms need monitoring outside the clinic or when patients require structured self-management support. Smartphone apps, web platforms, telehealth, and wearables can help maintain contact across follow-up periods. The specific value lies in extending observation and guidance while keeping the approach connected to medical assessment and treatment.
Repeated symptom reports and related health measurements can show how pain changes over time and whether treatment response is improving, worsening, or remaining stable. The information may support clinician decision-making and help patients engage in self-management. Interpretation should account for data quality and the broader clinical context, because digital measurements are meant to inform care rather than determine it alone.