Better decision-making thanks to IoT analytics
There is enormous potential for IoT to be exploited for the needs of an ageing population and for remote rehabilitation. That is why Vivago is working with Digia to utilise advanced analytics in order to improve elderly care services.
Vivago develops smart solutions for preventive care. The automatic alerts and health data generated by the Vivago solution enhance a feeling of safety and support day-to-day care work, while enabling the effectiveness of treatments to be monitored. Real-time notifications communicate changes in the person’s state of health, enabling individual and preventive care.
The aim of the collaboration between Digia and Vivago was to exploit advanced analytics to improve elderly care services so that customers can enjoy a better everyday life. Analytics are utilised by the elderly services unit, which needed a real-time operational overview of its customers’ well-being. This allows the unit to allocate timely and necessary measures to different customer target groups, enabling the entire customer base to be monitored, alongside individual monitoring. The service is intended to monitor the effectiveness of actions in customer groups directly – this enables the service to be improved and made more efficient.
“There is enormous potential for IoT to be exploited for the needs of an ageing population and for remote rehabilitation. Analytics enable services to be provided cost-efficiently will also improving service quality – services can be allocated in a timely and tailored manner to different customer target groups. Health care and medicine have begun deploying the internet of things slightly slower than other sectors, but it is undergoing dramatic expansion globally,” says Maria Lavonen, CEO of Vivago Ltd.
Customer segment analysis leads to action
The well-being and safety solutions developed by Vivago generate health and well-being data, which was used to model customer segments that work in similar ways. The anonymised data was formed from the information amassed by working with more than 1,000 customers over two years. The first step in the project was to study the accumulated data to identify the correct attributes and dimensions. The customer segments were identified according to daily rhythms and daily activity. When services are provided based on these factors, the following are possible:
- Monitoring and measuring the effectiveness of treatments via customer segment transitions
- Planning actions based on real-time information in areas such as resource usage and optimising the product and service portfolio
- Identifying parts of the service that require development
- Measuring and monitoring key performance indicators
The outcome was a visualised management view, which gives the service provider a comprehensive overview of their customer base and enables them to optimise their services. The view helps to improve the way treatments are allocated and enables decisions to be based on data. The solution supports the vision of elderly care in the future: thanks to technology, services can be improved and the autonomous functional capacity of individuals can be supported.