Doloris offers a web‑based platform that uses linguistic analysis of users’ pain journals to identify subtle patterns that can exacerbate chronic pain, especially in women.
Funding
Funding not disclosed
Founders
Product
Problem
Chronic pain, especially in women, often persists due to unrecognized personal and linguistic patterns that influence pain perception and reporting. Traditional clinical assessments may miss these subtle factors, limiting the ability to create truly individualized treatment plans.
Solution
Doloris provides a web‑based platform where users regularly journal their pain experiences. The system applies linguistic analysis to detect recurring themes, emotional cues, and language patterns that are linked to pain intensity and duration. By visualizing these insights, the platform equips both patients and their healthcare providers with actionable information to tailor pain‑management strategies. The service is currently offered at no cost, with plans to introduce premium capabilities that deepen analysis and integration with clinical workflows.
Target Audience
Primary users are individuals experiencing chronic pain, particularly women, and the clinicians who manage their treatment.
Features
- Automated text analysis of user‑generated pain journals to identify patterns associated with pain exacerbation
- Dashboard that presents identified linguistic markers and trends over time for easy clinician review
- Secure, cloud‑based storage of journal entries ensuring privacy and data integrity
- Integration guidelines for healthcare providers to incorporate insights into personalized care plans
- Free access to core journaling and analysis tools, with future premium modules for advanced reporting