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IBM Cognitive Hypervisor | by IBM Research
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IBM Cognitive Hypervisor

The cognitive hypervisor project is part of the Internet of the Body research under the IBM Research Frontiers Institute - a collaborative effort bringing together IBM scientists with clients to work side by side at our labs on forward thinking science with implications on business and society.

 

Future, potential applications for the cognitive hypervisor (based on our partner):

 

- Home Care: The cognitive hypervisor can enable patients to leave the hospital sooner, so they can recover from the comfort of their own home, while still receiving care remotely from trained medical staff. In addition, many hospitals don't have the beds available to provide long term recovery - not to mention limited health insurance coverage. By collecting unstructured data from the latest IoT wellness technologies, including heart and glucose monitors, fitness devices and sleep trackers, and combing with the electronic patient medical records, the IBM Cognitive Hypervisor uses machine learning and cognitive computing to analyze this data for real-time care.

 

- Elderly Care: By 2050, people aged 60 or older will make up nearly 22 percent of the global population (United Nations). In addition to remote monitoring, the cognitive hypervisor can also provide augmented healthcare services such as reminding patients when to take their pills, when to take a rest or sit down, and in an emergency, call an ambulance. Using IBM Watson’s APIs in Bluemix, patients can also ask the cognitive hypervisor questions, such as “Can I take aspirin with my current medication?”

 

- Chronic Disease Monitoring: For patients with debilitating diseases such as Alzheimer’s, dementia and Parkingson’s Disease, the cognitive hypervisor can monitor patients via their speech patterns to recognize advancements of the disease from audible changes.

 

- Fitness and Wellness: Regular reminders about doing exercise with recommended activities, like a 5km walk or walking up and down stairs.

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Taken on January 31, 2017