LifePod. How it works.
Each patient inputs data in the web application that can be complemented by data from fitness bands, weight scales or other sensors. The web application communicates to the LifePod cloud-based platform, delivering both priority (medical-grade) and relevant (consumer-grade) data that provides a holistic view of the patient’s health state. The resulting feedback is an individual healthcare plan tailored to the user.
End-user focus groups have tested and validated the web application’s ease of use and attractiveness.
Cloud-based for scalability and flexibility for:
lowest operating cost
lowest deployment cost
lowest maintenance cost
Ecosystem architecture for:
fast implementation of additional health conditions
addition of new sensors and applications
Designed for the highest security and integrity protection
Multi-language, ethnic, demographic and regional support
Platform-independent – runs on all devices and operating systems
This represents a huge opportunity to improve people’s lives. LifePod generates data over time and complemented by other data types such as geo tagging, weather data, etc., this big data can serve as input to an artificial intelligence (AI) system.
Through machine learning it is possible to establish cause and effect in different health conditions, moving towards prescriptive functionality. This enables huge savings in emergency care costs as well as improving the quality of life for patients.
LifePod gives not only efficient and qualitative decision making for healthcare providers but also data generated for research purposes.
LifePod. Evolving healthcare, everywhere.