Clinovations Government + Health (Clinovations GovHealth) is uniquely positioned to work with you and your team to evaluate and understand the current challenges and gaps associated with your public health data infrastructure and identify opportunities to modernize. Our team has deep experience in implementation and optimization of workflows and technology with a formalized model that guides our approach to assess and enhance the technologies that support public health, population health, clinical, and administrative processes.

State and local health departments are at the center of ensuring their residents are healthy through effective prevention, monitoring, and response programs. We help organizations modernize their data, systems architecture, and processes. A key component of public health modernization is a strategy and roadmap to transition from siloed and monolithic systems to integrated and cloud-based architectures. We support public health ecosystems improve access and visibility to data through implementation of AWS products and solutions to predict, manage, and communicate public health concerns.

• Current State Assessment: Our approach begins with a current state assessment across the enterprise to evaluate systems, interfaces, workflows, and reporting capabilities. We develop data and information maps and identify AWS products and solutions that enable access to, and integration of, critical data.

• Roadmap Development: We engage your organization and community stakeholders to facilitate and prioritize key opportunities, and develop a roadmap to execute and evaluate long-term, sustainable improvements.

• Technology Planning: We facilitate and manage evaluation of AWS cloud-based technologies to better use existing and new data. We develop a migration and implementation plan that specifies resources, skills, dependencies, and timelines.

• Innovation Advancement: We help identify areas ripe for innovation and piloting of new standards, technologies, and policies. With a modernized data and technology architecture, there are opportunities to trial and test new approaches that leverage automation, artificial intelligence, machine learning, and implement new and improved data sharing and use.