Showing posts with label iot. Show all posts
Showing posts with label iot. Show all posts

Monday, May 9, 2016

Is elderly fall prevention a cost, or a benefit for nursing home?


"Fall causes 1,800 death and US$34 billions each year"


According to U.S. Centers for Disease Control and Prevention (CDC), about 1,800 older adults living in nursing homes die each year from fall-related injuries and those who survive frequently sustain injuries that result in permanent disability and reduced quality of life, not including people living at home or other forms of nursing facilities. Each year, nursing home with 100 beds reports 100 to 200 falls. 35% fall inquiries occur among resident who cannot walk.

The number does not include people who were injured and hospitalized from these fall accidents. CDC reported that US$34 billion costs are incurred relating to direct medical cost, not including the costs for long term care such as disability, emotional health and reduction of productivity from their family caregiver.

Same statistics are shown in "Later Life in the United Kingdom", pointing out that 1/3 of people aged over 65 falls each year in UK. 3,653 death caused by fall were recorded in 2013. Around 70,000-75,000 hip fractures occur each year, mainly caused by fall accidents, costing for GBP 2 billion (~USD 2.88 billion) each year. 1 in 12 people died in 1 month after a fall while only half would return home. 50% of patients never regained the pre-accident mobility level.

The main cause of fall is muscle weakness due to lack of exercises, which accounts for 24% of falls. It could also be environmental factors such as poor lighting, tripping hazards and wet floors in bathrooms. Overuse of antipsychotics medication such as anti-anxiety drugs for patients with mental health issues could lead to adverse side effects in their central nervous system.

In fact, fall management measures can exist in different stages of elderly care. Therapists can estimate fall risk by conducting activities of daily living assessment and simple timed up and go test. Body motions can be monitored to detect fall risks in advance with motion alarm system, given in a skilled nursing facility or elderly home with a live-in caregiver. Panic buttons or mobile application with gyroscope are designed for immediate notification to caregivers for people who have just fallen.

While technology seems to be available, the trend of fall among elderly people does not seem to be improving. In the U.S., each full-time nurse has to look after approx. 1.75 beds with elderly care recipients. The number sounds reasonable for avoiding most of the accidents in nursing homes, but it is obviously not what is happening. How can the industry do better?

Turning from hospitalization to fall prevention


According to CDC, the average cost of hospitalization due to fall injury is over USD35,000. There is a great monetary initiative for nursing home owners to enhance their fall management capability. By stopping residents from being hospitalized, nursing homes could extend the period of stay for their residents, and possibly charge a premium for better elderly protection at the beginning during admission.

The key is to collect 24 x 7 behavioral data from residents through wireless sensing technology, with motion sensors in living areas, pressure sensors in bed, chair and toilet. Data such as the number of times a panic button is pressed during the day, or a resident get up from bed at night, or the duration of activity (or inactivity). Further analysis can be conducted and compared by long term care professional based on residents' health and medication records. As long as abnormal behavioral patterns can be spotted from residents who have changed in their daily activities, more attention and resources can be shifted to prevent them from falling. For example, nursing homes may separate residents with abnormal behavior into an environment with intensive care.

Data tells no lies.


For elderly people who appears to have signs of dementia, it is sometimes difficult for doctors or caregivers to find out the real problem as they tend to ignore or deny about their worsening health condition. With actual behavioral data available, nurse and family members can better understand the health status of the elderly residents, while doctors can prescribe more accurate accordingly.

Acceptance is the key


The key to deploy sensors successfully in nursing homes and on the elderlies is acceptance. Most elderlies are reluctant to move from their familiar living environment, into nursing homes, not to mention wearing panic buttons or tracking sensors on their body. Therefore, designers and manufacturers of elderly care devices have to put much greater effort to "hide" the sensor device in normal home settings. Wearable device can be personalized and turned into a warm gift that everyone (elderly, nurse, family) uses and loves.


Source:
http://www.cdc.gov/HomeandRecreationalSafety/Falls/nursing.html
http://www.cdc.gov/nchs/data/nsltcp/long_term_care_services_2013.pdf
"Later Life in United Kingdom", by ageuk.org.uk, Feb 2016

Friday, April 29, 2016

Closing the gap of home-use smart health device


The term Internet of Things (IoT) has several interpretations, ranging from smart home-related products to a universe of all connected devices. For the purpose of this paper, IoT is defined as the range of networked products that are capable of sending and receiving data. While this definition is broad, it reflects the diverse scope of devices and products that are now entering the consumer’s connected home.

According to Park Associates, the average number of connected devices for U.S. broadband households grew from 4.6 in 2015 to 7.5 in 2015, showing a significant level of adaptation of smart devices. However, the report shows that only 27% of households have installed connected health  & safety devices such as smoke detectors, blood glucose meter or digital medicine dispenser.

The market is obviously growing, with 50% households find it appealing to detect home accidents such as fire or thief with smart thermostats, door contact, motion sensors. These devices could also adjust the status of home electronics for power saving.

While technology is already here, the question is, "how the smart devices can become truly SMART?". Being able to communicate among devices and provide seamless integration with all home appliances is the key to success. Development teams also require sophisticated knowledge in cloud computing, wireless communication, mobile app and user experience design, which gives user accurate and reliable home intelligence in just one touch.

Like any other emerging technologies, the success lies in customer acceptance. Most of the current home appliances are designed to be installed by customers with minimal support service. Installation of smart home devices often requires basic technical knowledge such as connecting wireless devices with a home-based wifi network. Wall drilling is sometimes needed. Not to mention any troubleshooting when one of the devices does not work properly. As an IoT smart home system architect, the understanding of customer use scenario and acceptance level could be more important than the business idea itself.

Source: Next Generation Support: Driving IoT Adoption, Park Associates

Wednesday, April 27, 2016

Consideration of Human Factors in e-Health Solutions


E-Health solutions are generally regarded as socio-technical systems since, in addition to its technological nature, many people interact with them during the provision of the service. Thus, the service must meet the expectations and needs of all the people involved, if it has to be of any practical use. Human factors directly affect the acceptance of the service by these people.

Although efforts have been made to identify and formalize the different areas that conform the human factors, these have not been yet adequately addressed from a formal point of view. Besides, human factors are by nature technically difficult to address. In many cases, their proper consideration requires a good understanding of not only people’s capabilities and limitations but also their personal, socioeconomic and cultural context. Even with this understanding, it is often difficult to translate it into the formal terms required by the information and communication technologies to be used inside SH. All this hinders research and innovation when developing new solutions.

To address this issue research initiatives are required which are aimed at creating design patterns and low-level guidelines to promote the integration of the human factors-related functional aspects. These would constitute a set of very useful resources for developers which, if properly characterized, could be easily particularized to each specific application, people and context.