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Care Innovations® Combines Daily Living and Vital Sign Data to Provide Clinicians Deeper Insights
|By Business Wire
|December 1, 2016 11:00 AM EST
Care Innovations®, a pioneer in connecting the care continuum
to the home, is further increasing the value of remote patient
management by adding Home Sensing to Care Innovations® Health
Harmony, the company’s 4th generation remote care management
platform. Home Sensing is the next generation of smart
sensor care management that monitors, collects and interprets data
points of key activities of daily living (ADL).
Through the Health Harmony platform, vital sign data is transmitted
daily to clinicians. Interactive health sessions generate qualitative
data points typical of those collected during an in-office visit, and
algorithms monitor changes in existing patterns and alert clinicians to
potential issues to be addressed. The addition of Home Sensing provides
clinicians with access to data from continuous passive monitoring of
several ADL behaviors, including sleep patterns, daily activity levels,
bathroom use, and the use of specified electrically powered devices like
nebulizers or oxygen. Clinicians are notified about meaningful change
through the Health Harmony Home Sensing interface and can clinically
triage the situation without guesswork as to what the problem is –
providing the right care at the right time to the right people.
“Home Sensing represents the evolution of remote patient management.
Leveraging the potential of the Internet of Things, we’re moving beyond
providing a consistent picture of a patient’s status to giving
clinicians access to a truly holistic view of patient lives and
behavior,” said Randy Swanson, CEO of Care Innovations. “By combining
vital sign and ADL data, we can use analytics to develop a much deeper
understanding of how to support clinicians and their patients across the
continuum of care in a variety of settings.”
Health Harmony removes the complexity of remote care management by
encouraging the patient to engage in their own health from home using
consumer-friendly devices and peripherals, interactive education, and
videoconferencing. Home Sensing will monitor the top ADLS found to be
the strongest predictors of patient health in an analysis of more than
6.9 billion data points. By combining passive activity monitors with the
more proactive approach to gathering vital sign data, Care Innovations
has found that patients are more likely to comply with treatment
Studies over the past decade have generally demonstrated that passive
monitoring systems can be used to detect activity patterns, and
departures from normal behaviors may be early indicators of a problem
needing intervention. For example, a study published in the Journal
of Computing Science and Engineering1 showed that
restlessness in bed can be used to predict elevated pulse pressure in
the elderly between appointments. If left untreated, elevated pulse
pressure in the elderly can lead to fatal events, such as heart attacks
and strokes. According to a study published in Telemedicine and
e-Health2, the combination of passive and active
monitoring can result in significant decreases in hospital admissions
and billable interventions, reduce the overall cost to payers, and
increase caregivers’ efficiency.
Home Sensing is now available to health plans, providers, ACOs, and
senior living communities (independent and assisted) looking to predict
and shape patient health for improved outcomes and cost savings.
About Care Innovations®
Care Innovations, a wholly-owned subsidiary of Intel Corporation,
connects the care continuum to the home and makes it easier for
patients, family caregivers, and professional caregivers to interact and
achieve better health at home.
Experts in technology and behavior change, Care Innovations identifies
the best methods for health care providers and health plans to capture
and integrate near real- time data from the home into care delivery.
Visit www.careinnovations.com to
1 Popescu, M. & Florea, E. (2008) Linking Clinical Events in
Elderly to In-Home Monitoring Sensor Data: A Brief Review and a Pilot
Study on Predicting Pulse Pressure. JCSE, 2(2): 180-189.
2 Alwan, M., Mack, D.C., Dalal, S., Kell, S., Turner, B. &
Felder, R.A. (2007) Impact of Passive Health Status Monitoring to Care
Providers and Payers in Assisted Living. Telemedicine and e-Health, 13(3):
279-85. DOI: 10.1089/tmj.2006.0056
View source version on businesswire.com: http://www.businesswire.com/news/home/20161201005492/en/
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