Shelly Fritz points out a sensor in a test home used for her grant research. An assistant professor at Washington State University, Fritz is part of a research team striving to create prolonged in-home independence for the elderly, injured and disabled
Shelly Fritz believes that in-home sensors and informed artificial intelligence could be the ticket to increased at-home independence and overall longevity for at-risk populations such as the elderly, injured or permanently disabled.
Fritz is an assistant professor of nursing at the Washington State University College of Nursing in Vancouver. For the last two years, she has been angling for federal grant funding in order to spur on the research that she and a team of WSU scientists have been pursuing together since 2012. After much persistence, that team received the good news they’d been waiting for on July 31 when they were informed that their team had been awarded a $1.77 million grant by the National Institute of Nursing Research in order to conduct further study on the use of groundbreaking “smart-home” technology.
Work on the officially funded project began post-haste on Aug. 1.
“That’s the way government works,” laughed Fritz. “They tell you today and expect you to get started tomorrow.”
Fritz is flanked on the research team by Dr. Diane Cook, chair professor in the School of Electrical Engineering and Computer Science, as well as Maureen Schmitter-Edgecombe, a professor in the Department of Psychology. She says that the process to obtain federal funding was laborious but the quality and extensive experience of her partners ultimately paved the way forward.
“Yes, it was a lot of work, however, we received the grant in-part because of their reputation as researchers. They have been doing smart home research together for about 10 years. I am one of the newer members of the Center for Advanced Studies in Adaptive Systems smart-home team. I am the only nurse on the team. I bring a clinical perspective to the work,” explained Fritz in an email. “I have always been interested in tech in the hospital and have often claimed that nurses need to be at the table with engineers when tech for health care is designed. After all, nurses are the ones who are asked to directly employ the use of high-tech equipment on patients while caring for them.”
The new model of in-home health care envisioned by the team of WSU researchers includes the assistance of in-home sensors and artificially intelligent apparatus around the house. The first five “smart-homes” being used for testing purposes have been installed at the Touchmark on South Hill Retirement Community in Spokane. The “smart-homes” are each outfitted with 15 to 20 motion sensors that are able to track the movements of an individual around the home. Those sensors then create a data log of a person’s typical behaviors and routines.
Preliminary studies have shown that the sensors can account for more than 40 everyday activities with a labeling accuracy of more than 98 percent. That information is then used to evaluate the actual behaviors of an individual at any given time based on the anticipated model. If those behaviors veer drastically from the norm, that information can be instantly evaluated by off-site health care providers, or even managed by artificial intelligence features within the home, in order to stave off more serious circumstances.
Fritz says that the presence of the in-home sensors is less about active supervision than about creating a detailed and useful chart of analytical information for health care providers to evaluate. Fritz noted that the sensors merely pick up simple information such as movement and do not come with actual video or audio recording. That information is compiled over time and used to get a sense of the normal behaviors of an individual. When those activities, like going into the kitchen around dinner time, change or stop altogether, the information can be used to determine if there is a problem.
Fritz says that the information gleaned by the “smart-home” sensors would be used to “evaluate changes in health states.”
“Those changes occur when people don’t feel good,” explained Fritz, who believes that the use of real-time “Big Data” is the next big wave in health care that will be utilized to improve patient experiences and outcomes. She believes that real-time data provided by patients is an untapped mine of sorts, full of information that can be used to ward off major health incidents in the future while simultaneously extending personal independence.
