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Fall Prevention, Reinvented — No Home Visits Needed
Every 11 seconds, an older adult is treated in the emergency room for a fall-related injury (Harvard Health Publishing). Yet most falls are preventable when we address the underlying causes, many of which are directly related to Social Determinants of Health (SDOH). Here's how we support safe living for your loved ones
STEP 1
It All Starts with a Simple Picture
Patients or caregivers take photos of different rooms in the home—such as the bathroom, kitchen, or bedroom. No home visits are required; all you need is a phone and a few pictures.
STEP 2
Computer Vision That Understands the Home
Once photos are submitted, our advanced computer vision gets to work. It carefully analyzes each image, identifying and labeling room features and any existing durable medical equipment (DME). We utilize advanced image segmentation and depth estimation techniques to analyze room layouts and identify potential hazards like a trained eye would.
STEP 3
From Images to Risk Mitigation
Not every object in a room poses the same level of danger. Our graph-based machine learning identifies which objects pose a fall risk and which can be safely modified or moved. Recommendations are ranked based on urgency.
STEP 4
Reports Available in Multiple Languages
Care reports are accessible in over ten languages, including Spanish, Korean, Japanese, and Tagalog. Layouts, installation suggestions, and hazard descriptions are all translated for better accessibility.
STEP 5
Instant Documents for DME Requests
KokuaNet AI automatically creates physician-ready cover letters, complete with supporting images. These documents are faxed directly to doctors and emailed to families, making approvals faster, easier, and stress-free.
STEP 6
From Risk to Recommendation to Reality
Once a physician approves the recommendations, the necessary equipment is ordered and delivered. Daily supplies, such as strips and lancets, are tracked and replenished with follow-up outreach.
