Bhadran's point of generation segregation theory for behavioral precision in biomedical waste management.

Biomedical waste (BMW) mis-segregation remains a persistent global challenge, threatening infection control, occupational safety, and environmental sustainability. Recognizing that waste segregation is ultimately a behavioral act, this study conceptually introduces Bhadran's Point-of-Generation Segregation Theory (PGST)-a proposed hybrid behavioral-systems model designed to measure, benchmark, and improve BMW management. To conceptualize and operationalize a framework that links micro-level staff behaviors to institutional waste outcomes and global performance classification. Methodology: PGST integrates six constructs - Segregation Accuracy, Occupational Hazard Risk, Environmental Contamination Potential, Irreversible Contamination Index, Segregation Compliance Behavior, and Training Effectiveness-and is anchored by Moment-Based Precision Behavioral Fidelity (MBPBF), which quantifies four behavioral elements (Cognitive Anchoring, Visual Discrimination, Repetition Reinforcement, and Error-Responsive Feedback). Behavioral metrics generate the Precision Behavior Score (PBS), Precision Change Score (PCS), Point-of-Generation Segregation Accuracy (PGSA), and Point-of-Generation Segregation Index (PGS Index). While PGSA feeds into the Waste Quality Metrics (WQM) composite and the Global Segregation Safety Scale (GSSS), a five-tier benchmarking tool from EcoPlatinum to EcoBlack, the PGS Index serves as an internal behavioural diagnostic index Results: Illustrative application of PGST suggests that higher behavioral precision was strongly correlated with segregation accuracy and overall institutional waste quality. The model demonstrates that the Precision Behavior Score (PBS), Precision Change Score (PCS), and Point of Generation Segregation Accuracy (PGSA) reliably predict Waste Quality Metrics (WQM) and placement on the Global Segregation Safety Scale (GSSS). These findings highlight that measuring behavioral fidelity at the point of generation provides actionable insights for training design, compliance audits, and evidence-based policy development, as part of a proposed theoretical framework pending empirical validation.