✓ Passive technology, no installed software agents to manage, ideal for medical devices ✓ Utilizes research based on deep experience in medical device use and design and strong understanding of cybersecurity principles & practices, along with Artificial Intelligence (AI), machine learning and proprietary algorithms, to perform deep packet analysis of device data traversing the network ✓ Supports several use cases across Inventory, Cybersecurity and Operational Management with an expanding platform roadmap to meet additional operational and strategic organizational requirements ✓ Integrates with an organization’s supporting IT/Security platforms, i.e. CMMS, SIEM, Vulnerability Scanners, Network firewalls and network access controls to support the health system overall IT Security and Risk management programs and maximize existing platform tools and investments Visibility of critical information across organizational disciplines: Clinical Team, IS Team, Risk Managers ✓ External Connections: finding the bad actors ✓ IT Services protocols: i.e. SMB, RDP, FTP ✓ Anomalies: real time Network Traffic Analysis (NTA) ✓ Forensics: data flow, protocols, and traffic stats ✓ FDA Recall: linked to FDA device database ✓ Supported by Asimily researchers and analysts

ConvergeHEALTH Safety™ is a high performance, evidence-based safety software platform, built to meet pharmacovigilance needs and challenges. Our modular platform drives improved drug-risk profiles by mitigating risk and reducing cost, enabling safety professionals to focus on high-value opportunities.

We create new digital ecosystems to shape the future of health. Businesses and stakeholders across the health care ecosystem—from health plans and biopharma, to government agencies and health care providers, to start ups and tech giants—are all building the future of health. ConvergeHEALTH is committed to delivering solutions that enable these organizations to put patients at the center of health care. ConvergeHEALTH creates new health ecosystems to enable the future of health by combining next generation platforms, deep industry experience and novel collaboration models. We move with the agility of a health startup, backed by the global reach of Deloitte to design and offer platforms and services that empower the shift to value-based personalized health care. We do this by creating digitally connected ecosystems comprised of analytics platforms, industry partnerships, and world-class consulting services, all with the unified vision of putting patients at the center of health care.

Safety's modular design and differentiated capabilities enable a flexible, integrated, and holistic view of safety intelligence. **Key Functionality:** * **Cognitive Case Processing:** multiple data sources & data lake, recommendation engine, adaptive case processing * **Aggregate & Operational Reporting:** safety analytics, aggregate reporting, operational reporting * **Signal:** signal detection, signal management, signal reporting * **Safety Metrics** Potential benefits include: simplifying compliance, enhancing data accuracy, integrating data in one location, streamlining analysis, and enabling new statistical methods.

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