ConvergeHEALTH Safety

The ConvergeHEALTH Safety platform enables an end-to-end, integrated, and evidence-based model for safety intelligence to help mitigate risk, reduce cost, and improve patient outcomes. The platform architecture supports four modular applications, which can be deployed separately or in combination. **Cognitive Case Processing:** auto-coding and look up, automated AE identification, intelligent routing and workload management, and continuous improvement through NLP and machine learning, E2E case life-cycle perspective **Aggregate and Operational Reporting:** single reporting and analytics, design thinking and UX, querying with business self service and collaboration, scheduling and automation, and content creation w/ NLG and collaborative authoring workflow **Signal:** high performance data science toolset, open framework for continuous collaboration with industry, regulators, and academia, intelligent and contextual routing, embedded analytics at the point of decision, and RWE integration for evaluation and detection **Safety Metrics:** workflow driven metrics analysis, predictive alerting to compliance risks, automated metrics recalculation, seamless experience across review, reasons, and corrective actions, and integrated analytics, reporting, and dashboards