Before developing an IoT solution, ICURO hit a major roadblock with its healthcare platform. Limited data sharing between healthcare providers and insurance companies impeded effective communication, resulting in frequent duplication of efforts and making it difficult for each entity to deliver better care while maintaining reasonable costs. ICURO wanted to resolve these data sharing issues, they started developing tools and systems that connect products in meaningful ways, enabling both entities to collaborate more effectively.

IOTATOI is a division of Power Agent Systems that has developed an edge server called the Universal Monitoring System (UMS). IOTATOI is using UMS as an edge tier data collector to monitor backup battery arrays in manufacturing, mines, and chemical plants. This experience with battery backups led IOTATOI to expand the system to any condition that can be monitored by sensors such as vibration, heat, temperature, and flow. IOTATOI found they needed to move from their original middleware to something that would allow greater scalability and to also present information in a much broader way allowing them to dynamically look at the information and perform benchmarking analysis, feeding the data into analytics engines and creating a much more actionable view.

The client had limited or inefficient integration of its data sources, which made it difficult to see patients through a longitudinal lens. The client was, however, uniquely positioned to leverage the expansive patient data contained within its network of care, and set out to do so in 2012. Specifically, they wanted to improve the outcomes of patients with Ischemic Heart Disease (IHD) through improved care management with goals of reducing readmission rates, better managing patient cholesterol levels, and better managing patient blood pressure. Specifically, the regional healthcare provider was interested in implementing a machine learning platform, that quickly automates complex analytical processes and integrates powerful information into existing applications and portals.

With an overwhelming response to the release of their IoT solution, Elisa needed a way to manage the flood in demand without compromising on their customer satisfaction or quality.

With a mature business comprising connected field instruments for remote monitoring, Sysmex realized that the next step in order to transform their business would be to unlock more value from their data. The only way they could outpace their competitors would be to deliver higher quality customer service and improve their internal operational efficiency.