Predictive healthcare is the use of data analysis, artificial intelligence (AI) and machine learning to identify health risks at an early stage and enable preventative measures to be taken. By evaluating large amounts of health data, individual forecasts are made and personalized treatments are recommended.
Advantages for older people:
- Early detection of diseases: With predictive analyses, age-related diseases such as cardiovascular problems, diabetes or dementia can be identified at an early stage.
- Prevention instead of reaction: Predictive healthcare helps to avoid health complications by taking countermeasures in good time.
- Personalized healthcare: Medical care is individually tailored to the needs of older people, which increases the effectiveness of therapies.
- Reduction in hospital stays: Early warnings of deterioration prevent emergencies and reduce the frequency of hospital stays.
- Increased quality of life: Preventive measures help older people to stay healthy and independent for longer.
- Support for caregivers and relatives: Predictive healthcare offers valuable decision-making aids to make care more targeted and efficient.
By using modern technologies, predictive healthcare enables proactive healthcare and thus significantly improves medical care for older people.
Author: Anja Herberth
Chefredakteurin
