WHY KNOWFALLS SOLUTIONS ARE PERSONAL
A 76-year-old female has just had routine laparoscopic surgery to remove her gall bladder, requiring an overnight stay in the hospital as her history of high blood pressure and obesity indicate. According to her adult son and daughter who live out of state, this patient lives alone and has just started having difficulties with balance.
In the early morning hours, the patient is confused with her surroundings and tries to make it to the bathroom on her own. The hospital’s current monitoring system does not alert the patient care team in enough time to prevent a fall. Facial injury, a broken hip, and fractured wrist result. Subsequent surgeries and weeks spent in a rehabilitation center take its toll on the patient and her family. The patient has now developed depression and showing signs of dementia. Her adult children are challenged with how to best care for their mother going forward, both financially and logistically, considering her advancing physical and emotional limitations.
It is precisely these circumstances that inspired KnowFalls founders to develop the Behavior Recognition Platform. They recognized first-hand the consequences of falls with their parents and in-laws and asked, what if there was a “smarter thinking” solution for reducing falls? What if hospitals and rehab facilities could eliminate the human error in anticipating falls? What if artificial intelligence (AI) technology could be used to identify movements of an impending fall and alert caregivers in real time? What if falls prevention technology could result in significant financial savings for hospitals and, most importantly, in improved quality of life for patients and families? What if other families could be spared the heartache of making tough decisions of how to care for a loved one?
To learn more about investment opportunities with KnowFalls, contact our CEO at John Montelione.
In the early morning hours, the patient is confused with her surroundings and tries to make it to the bathroom on her own. The hospital’s current monitoring system does not alert the patient care team in enough time to prevent a fall. Facial injury, a broken hip, and fractured wrist result. Subsequent surgeries and weeks spent in a rehabilitation center take its toll on the patient and her family. The patient has now developed depression and showing signs of dementia. Her adult children are challenged with how to best care for their mother going forward, both financially and logistically, considering her advancing physical and emotional limitations.
It is precisely these circumstances that inspired KnowFalls founders to develop the Behavior Recognition Platform. They recognized first-hand the consequences of falls with their parents and in-laws and asked, what if there was a “smarter thinking” solution for reducing falls? What if hospitals and rehab facilities could eliminate the human error in anticipating falls? What if artificial intelligence (AI) technology could be used to identify movements of an impending fall and alert caregivers in real time? What if falls prevention technology could result in significant financial savings for hospitals and, most importantly, in improved quality of life for patients and families? What if other families could be spared the heartache of making tough decisions of how to care for a loved one?
To learn more about investment opportunities with KnowFalls, contact our CEO at John Montelione.