## 2 Methods Used for Integrated Monitoring and Management of Diet-Related Diseases
### Comprehensive Monitoring, Medical Integration  
The usefulness of smart monitoring environments for diet-related disease management is greatly enhanced when they are combined with medical integration and comprehensive monitoring, especially when an RHMS is involved. The thorough comprehension of an individual's health condition is enhanced by the easy integration of diverse monitoring technologies that cover an extensive range of health variables. The integration of the RO-SmartAgeing system, NeuroPredict Platform, and Hepato-Conect system into comprehensive monitoring and medical integration further enhances the capabilities of smart monitoring environments within the context of diet-related disease management. 1. _RO-SmartAgeing system_: The RO-SmartAgeing system contributes a unique dimension by focusing on age-related factors and tailored interventions. Through the integration of this system, comprehensive monitoring extends beyond immediate health concerns to address the long-term impact of dietary choices on ageing. This holistic approach allows healthcare professionals to consider age-related factors in designing personalized diet-related disease management strategies;
2. _NeuroPredict Platform_: The NeuroPredict Platform introduces advanced neuroinformatics to the comprehensive monitoring landscape. By integrating neurological data and predictive analytics, it offers insights into the intricate connections between brain health, dietary patterns, and overall well-being. This platform enables a more nuanced understanding of how neurological factors influence dietary habits and vice versa, enriching the overall data pool for a holistic health assessment;
3. _HepatoConect system_: The HepatoConect system specializes in liver health monitoring and integration. Given the vital role of the liver in processing nutrients and metabolising substances, its integration into comprehensive monitoring is pivotal for diet-related disease management. This system provides real-time data on liver function, allowing healthcare professionals to tailor dietary recommendations with specific consideration for liver health, thereby optimising overall disease management strategies. The design and development of our three RHMS are based on several common elements that we deemed fundamental for obtaining integrated insights and a patient-centred approach. As illustrated in Figure 3, starting from the implementation of these common elements, we developed an RHMS (RO-SmartAgeing System) and are currently developing two other RHMS (NeuroPredict Platform and HepatoConect System); each of them is tailored to be considered a novel evaluation method for specific diet-related disease management, as presented above. Particularly distinctive is the notifications and alerts element, which is highly adapted for both patients and physicians, with early notifications resulting from data analysis that help with disease prevention and management. In terms of user contact, the user interface and communications element prioritizes an intuitive interface, secure communication channels, and personalized alerts, which include triggered alerts for critical scenarios. The framework comprises robust security protocols to provide complete data protection in the RHMS. The framework facilitates smooth integration with a range of medical devices. The framework is further refined with our three tailored RHMS--RO-SmartAgeing System, NeuroPredict Platform, and HepatoConnect System--each with distinct capabilities designed to adapt to different diet-related conditions, allowing for customisation of functionalities based on the disorder's specifics, resulting in tailored diet-related disease management. Integrating the tailored RHMS with the National Integrated Information System for Social Health Insurances has enormous potential and advantages for healthcare. This collaboration would ensure that health data flow seamlessly between the RHMS and the national health insurance system, improving overall healthcare delivery efficiency.