Tech News Summary:
- Technology is helping to improve fall prevention and patient care in nursing homes and senior living communities.
- Lilli, a UK-based company, is using machine learning and sensors to monitor residents and identify abnormalities that could indicate a change in their condition.
- The partnership between Lilli and Nourish Care combines technology to help staff detect and prevent falls, similar to other fall prevention technologies on the market.
In a groundbreaking development in the field of senior healthcare, falls prevention is now being given a high-tech upgrade through the use of machine learning and data-fueled tools.
According to recent statistics, falls are one of the leading causes of injury and hospitalization among seniors. However, with the use of innovative technologies, healthcare professionals are now able to predict and prevent falls before they occur.
By incorporating machine learning algorithms and data analytics tools, healthcare providers can now analyze an individual’s medical history, physical abilities, and environment to create a personalized falls prevention plan. This includes recommending mobility aids, home modifications, and exercise programs to improve strength and balance.
In addition, wearable devices such as smart watches and fitness trackers can detect changes in gait and posture, alerting healthcare providers to potential falls before they happen. “By using technology to monitor our seniors, we can catch problems early, before they require more drastic interventions,” says Dr. Amanda Johnson, a falls prevention specialist.
The use of technology has already shown significant promise in preventing falls. A recent study found that a machine learning algorithm was able to accurately predict a fall with a sensitivity of 87% and a specificity of 64%.
This new approach to falls prevention is not only creating better outcomes for seniors, but also reducing healthcare costs by minimizing hospitalizations and other medical interventions.
As the population of seniors continues to grow, it is critical that we find innovative solutions to keep them safe and healthy. The use of machine learning and data-fueled tools is just the beginning of a new era in senior healthcare, where advanced technology is leading the way in care and prevention.