Ornex: An Intelligent Policy And Compliance Management System For Healthcare Institutions

Abstract

Effective policy management in large healthcare organizations is critical for patient safety and regulatory adherence. However, current systems often suffer from fragmented distribution, prolonged approval bottlenecks, and inadequate version control. Crucially, existing workflows rely on passive acknowledgment, where employees sign off on mandatory updates without demonstrating true comprehension. This exposes the institution to significant operational risks and manual audit failures. To address these systemic inefficiencies, we developed Ornex, a comprehensive compliance management platform designed to transition policy administration from static document storage to an active, workflow-driven governance engine. Our methodology centers on a modular, role-based architecture that facilitates seamless drafting, sequential review, and automated approval workflows. To ensure high usability for non-technical healthcare staff, we implemented artificial intelligence-driven retrieval mechanisms, enabling fast and accurate searches of critical procedures during high-stakes situations. Furthermore, to mandate active comprehension, the system utilizes a compliance evaluation engine that requires personnel to successfully complete dynamically generated quizzes before their acknowledgment is officially registered. The implementation of this platform yields several key contributions to healthcare administration. It establishes a highly available, audit-ready single source of truth for all institutional guidelines, backed by stringent security and access controls. The automated tracking of employee evaluations, coupled with real-time feedback loops and incident analytics, provides administrators with actionable visibility into departmental compliance levels. Ultimately, this scalable solution mitigates operational risks, fosters a culture of accountability, and significantly improves the efficiency of the entire policy lifecycle across complex organizational structures.

Research Team