Falls are a major concern in senior care settings, leading to severe health outcomes and increased costs for care providers. In this webinar, we will explore how intelligent technology can help develop effective fall prevention strategies.
Attendees will learn about leveraging data-driven insights, proactive AI tools, and non-intrusive ambient sensors to identify risks early and prevent falls before they occur. This session will guide care teams through best practices for creating comprehensive fall prevention plans that enhance resident safety and quality of care.
Attendees of this webinar will:
Identify the key challenges and impacts of falls in senior care environments and understand the role of fall prevention in improving resident well-being.
Explore how intelligent technology, such as AI tools and predictive analytics, can help identify early warning signs of fall risks.
Understand the use of ambient sensors for non-intrusive monitoring of residents’ activities and behaviors to proactively reduce fall incidents.
Develop strategies for integrating intelligent technologies into fall prevention plans to improve care delivery.
Learn best practices for implementing data-driven fall prevention strategies that support resident independence and quality of life.