In recent years, the aging population has increased. The intervention of Home Health Care (HHC) has been an asset, however, needs technological innovation for the high level of complexity and requirements. Innovation in the HHC system is crucial since management still occurs manually using classical methods, usually centralized and static. The mapping of real HHC problems, enables an application model of a distributed intelligent system, considering the operational planning needs, promoting a digital and sustainable ecosystem. This work aims to specify a flexible architecture for routing and scheduling tasks in distributed HHC. It considers multi-agent systems technology to guarantee the fast response to condition changes in existing planning, merged with optimization algorithms that allow achieving optimal solutions. Collaboratively, the information digitalization for real-time monitoring will coordinate a socialized solution using different tools and techniques, ensuring robustness and responsiveness in a domain with emerging needs.