MUMBAI, India, Aug. 17 -- Intellectual Property India has published a patent application (202621078747 A) filed by Anuja Rajesh Jadhav on June 25, 2026, for A System And Method For Cognitive Burnout Escalation Prediction Using Multi-Signal Workload Profiling, Behavioural Drift Scoring, Recovery Deficit Analysis, Explainable Reason Codes, And Preventive Intervention Routing.
Inventors include Gaurav; and Anuja Rajesh Jadhav.
The application for the patent was published on August 14, 2026, under issue no. 33/2026.
Abstract: The present invention relates to an artificial intelligence based cognitive burnout escalation prediction system and method for identifying individuals, teams, or institutional roles that are approaching elevated burnout risk based on multi-signal workload, behavioural, recovery, and evidence inputs. The system receives structured person-signal records and optional evidence notes, including workload hours, meeting load, task switching, after-hours activity, missed deadlines, rework frequency, sentiment change, response delay, sleep or recovery indicators, leave balance, manager check-in signals, and uploaded contextual evidence. The system generates a standardized person-risk signal object, calculates cognitive overload score, behavioural drift score, recovery deficit score, evidence escalation score, burnout escalation risk score, and risk classification. The system further generates explainable reason codes indicating the drivers of risk and recommends preventive interventions such as workload redistribution, manager check-in, meeting load reduction, recovery scheduling, counselling referral, priority reset, escalation review, or monitoring. The invention enables early, explainable, and action-oriented prediction of cognitive burnout escalation before severe performance, health, attrition, or institutional disruption occurs.
Disclaimer: Curated by HT Syndication.
