Zuber’s Risk Safety Intelligence Framework and Two Indices: A Conceptual Model for Healthcare Governance and Prospective Validation

Abstract

Purpose: To develop Zuber’s Risk Safety Intelligence Framework (Z-RSIF™) with two distinct assessment indices: the First Index, Zuber’s Risk Safety Index (Z-RSI), and the Second Index, Zuber’s RSIF Enterprise Risk Management Performance Index (Z-RSIF–ERMPI), for healthcare governance and KPI-based enterprise risk performance assessment.

Methodology: A conceptual framework was constructed through narrative synthesis of healthcare literature and interpretive mapping of risk management, accreditation, quality, resilience, and digital health frameworks. The synthesis informed domain definitions, a proposed weighted index, provisional classification thresholds, and a protocol for future validation.

Results/Analysis: The conceptual output comprises eight domains, organized within governance, operational, and predictive intelligence layers. Four domains receive proposed weights of 15% and four receive 10%, producing a composite score from 0 to 100. Organizational classification and maturity assessment are distinguished, with maturity requiring corroborating evidence of implemented capabilities. No empirical validation estimates or organizational outcome comparisons are reported. A separate KPI-based Z-RSIF–ERMPI score maps performance to ASHRM’s eight risk domains using proposed weights and distinct ranking rules.

Originality/Value: The proposed contribution is an explicit linkage between established governance approaches and the author’s Safety-III concept within a common assessment architecture. Its practical value, weighting robustness, predictive performance, and generalizability remain hypotheses for prospective evaluation.

Type of Paper: Conceptual framework-development paper.