MUMBAI, India, Nov. 2 -- Intellectual Property India has published a patent application (202641124240 A) filed by Adichunchanagiri University on October 16, 2026, for Ai-Enabled Integrated System For Early Prediction, Assessment And Management Of Burnout Among University Nursing Staff With Academic And Family Responsibilities.
Inventors include Mrs. Sandhya Rani B S; Mrs. Kavitha N K; Ms Mahalakshmi C H; and Mrs. Shobha K R.
The application for the patent was published on October 30, 2026, under issue no. 44/2026.
Abstract: Abstract AI-Enabled Integrated System for Early Prediction, Assessment and Management of Burnout among University Nursing Staff with Academic and Family Responsibilities The present invention discloses an AI-enabled integrated system (100) for early prediction, assessment, and management of burnout among university nursing staff with academic and family responsibilities. The system comprises a data acquisition module (102), a data preprocessing and integration module (112), an AI-based burnout prediction engine (114), a multidimensional burnout assessment module (116), a personalized intervention recommendation module (118), a database (120), and a user interface module (122). The system integrates clinical workload, academic commitments, family responsibilities, physiological and behavioral parameters, and psychological assessment data to generate an integrated feature representation. A machine learning model (114a) processes the integrated data to determine burnout risk scores and identify temporal risk patterns. An explainable artificial intelligence module (116c) identifies contributing factors, while the intervention recommendation module (118) generates personalized well-being plans, workload optimization suggestions, and stress management recommendations. The system facilitates adaptive burnout monitoring and individualized preventive support. Figure-1
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