Well-cared for older adults: technology with an emphasis on

Integrated care models aim to solve the problem of fragmented, poorly coordinated actions in current health systems. We propose these models be patient-centred, providing continuous, coordinated care with a focus on client needs. Greater knowledge of the patient history among health professionals leads to better outcomes. This is how contemporary, resolutive care models recommended by the leading national and international health agencies work. Current care models are rooted in a time when Brazil was a country with a younger population and acute diseases. The search for a higher quality, more efficient and economical care model is not just a Brazilian phenomenon. The entire world is debating the problem, recognizing the need for change and proposing improvements in their health systems. The same shift can be seen in Brazil. We advocate a logic that prioritizes low-intensity interventions and constant monitoring, with the doctor responsible for a portfolio of clients, accompanying them throughout the different care settings. The model presented proposes integrated medical treatment, a flow of educational actions, health promotion, disease prevention, delayed disease onset, and early care intervention. It is time to change and innovate. We must recognize that the older population develop chronic diseases that are uncurable. The role of the health professional is to delay and stabilize these diseases. Based on this analysis, we argue that care provision to the older population should be rethought, with increased emphasis on actions targeting disease prevention and health promotion. Also, the judicious application of technology for consultations, monitoring, preventive measures and care coordination is proposed. Care for the older population should focus on delivering low-complexity care, thereby minimizing wastefulness, ensuring rational use of health system resources, and valorising the professionals involved.

Keywords
Care; Older adult; Technology; Low-complexity.