PREVENTION. PREDICTION. EDUCATION.
Predictive Technologies Can Help Prevent Adverse Incidents
BY CYNTHIA BOMBACH
K4Community by K4Connect can be accessed through iOS, Android, the web, voice technology, TV, and digital signage, so the whole community can get the message. Its Resident Check-In feature can work with or without resident action. Photo courtesy of K4Connect
We don’t need a crystal ball to see into the future. An array of predictive technologies can help communities manage issues rang- ing from medication supplies to COVID outbreaks and falls. These solutions collect and transmit information in seconds to ad- ministration, associates, residents, and fami- lies, so preventative action can be taken. Some of these technologies, especially
smart-home features and wristbands that monitor health and behavior, are familiar and will be expected by incoming gen- erations of residents. Data from market research firm Parks Associates shows that people in their 50s prioritize smart-home safety features, while those over 70 would like technology with connected health features.
14 SENIOR LIVING EXECUTIVE MAY/JUNE 2022 Those priorities are met by well-designed
technologies that serve residents, staff, and providers in mutually beneficial ways.
Ambient tech types The best resident-monitoring technology is designed to augment human observation rather than replace it. For instance, AI- enabled cameras and 4-D imaging can spot unusual activity in resident living spaces. These types of technology operate unob- trusively in the background and alert staff if an anomaly is detected. Such technologies have the benefit of providing an additional layer of protection without requiring more time from staff members. According to the U.S. Centers for Disease Control and Prevention (CDC), about 3
million older adults are taken to emergency rooms each year because of fall-related in- juries. Falls are the top cause of injuries and injury-related deaths in adults 65 and older. Since care partners can’t be with all
residents at every moment of the day, monitoring technologies that are designed to detect and report falls can have a big impact on resident safety. Data gathered by cameras and sensors can be used to predict the likelihood of falls in the near future and allow staff to take preventative measures.
Prediction and privacy The Vayyar Care system, which uses 4D imaging to monitor a resident’s living space without the use of cameras or wear- able devices, is designed to ensure dignity,
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