THE WORK
The success of the migration project hinged on a three-phased partnership between the health system and Nordic, emphasizing continuous collaboration and a nuanced understanding of client requirements. The initial phases involved direct engagement with the client's analytics and research and development (R&D) teams, allowing for a clear definition of deliverables in a mutually understood language.
Building on the success of phase one and phase two, the collaboration transitioned into phase three. This phase combined both on-site and remote workshops that guided R&D sessions and empowered the client's research and data analytics development teams. Nordic consultants used the AWS cloud-native machine learning service to create an algorithm that allowed for data streaming and real-time analytics from diverse sources such as bedside devices, vital monitors, and cloud data lakes.