The integration of Artificial Intelligence (AI) in elderly care is becoming increasingly important, especially in light of demographic developments and the shortage of skilled workers in the care sector. Modern technologies, including AI and robotics, offer promising approaches to support and improve the care of older people.
Advances of AI in Elderly Care
The development and application of AI in the care sector aim to both relieve care staff and enhance the quality of life for those in need of care. Key areas of application include organizational tasks, monitoring and analysis of health data, and assistance with daily activities (PPM-Online) (Pflegeblog AKS).
Organizational Support
AI systems such as chatbots and digital assistants can take over administrative tasks, allowing care staff more time for direct patient care. For example, these systems can assist with scheduling, documenting care processes, and managing medications (PPM-Online).
Health Monitoring and Analysis
By using sensors and AI-supported analysis, health data can be continuously monitored. This enables the early detection of health changes and rapid response to potential emergencies. Such systems can, for instance, monitor and analyze blood pressure, blood sugar levels, and other vital parameters in real time (PPM-Online) (OECD).
Assistance with Daily Tasks
Robots and intelligent assistants can help older people maintain their independence. They can assist with daily activities such as dressing, taking medications, or preparing meals. Some facilities are already using robots like “Pepper,” which take on simple tasks and simultaneously provide social interaction (Pflegeblog AKS).
Challenges and Concerns
Despite the numerous benefits, there are also significant concerns and challenges that need to be considered when integrating AI into elderly care.
Social and Emotional Aspects
A major concern is that the use of AI and robotics could impair the social and emotional support of those in need of care. Many care professionals fear that interpersonal interaction and personal care might be neglected due to increased technology use (Pflegeblog AKS).
Data Protection and Privacy
The use of monitoring technologies and the continuous collection of health data raise questions about data protection and privacy. It must be ensured that the sensitive data of those in need of care are protected and used only for legitimate purposes (PPM-Online) (OECD).
Financial Aspects
The implementation of AI technologies in care facilities is associated with high costs. There is concern that funding such systems could limit resources for other important improvements in the care sector. A careful consideration of costs and benefits is therefore essential (Pflegeblog AKS).