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Our Research

About SeVA and Our Impact

Our Impact



SeVA will continuously interact with patients to promote social interaction, engage them to reduce loneliness, and as such, prevent subsequent delirium episodes with this cognitive encouragement. All available competitor medical devices, either in the development phase or already in the market, are instruments for diagnosis (with varying levels of accuracy). SeVA is both diagnostic and therapeutic, i.e., post-diagnosis of delirium, it will also employ non-pharmacological methods to prevent future episodes. This aspect and functionality of SeVA technology will result in a significant reduction in resource utilization for hospitals and other care entities.

The SeVA platform will free up nursing time to perform timely checks on the patient and therefore will provide time to nurses for more hands-on actionable care, rather than spend time in assessments. Nursing teams can optimize their time towards patient care with SeVA’s technology.
SeVA platform will result in a significant reduction in extra-hospital days and consequently this results in a cumulative cost-saving potential anywhere between $ 32 Billion to $ 80 Billion a year.

SeVA platform will provide continuous monitoring of patient conditions and can immediately report medical emergency events to the care team (doctors) for intervention. This will significantly improve the quality of healthcare and save lives due to the immediate alert notification capability of SeVA technology.

SeVA

The SeVA platform will increase the rate of delirium detection and alert care teams to intervene earlier and prevent complications.

Learn about our values, vision, and mission

ViNA

ViNA has the capability for meaningful
bi-directional and medically oriented conversation with the patient.

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ViNA: Virtual Nursing Assistant

Nurses in acute care facilities (Hospitals, Skilled nursing facilities, Rehab, etc.) perform many cyclical tasks at regular intervals for continuous patient monitoring. These tasks include activities like checking on the patient frequently for toileting questions, delirium detection, etc. In addition, the nurses also provide a personal touch to patients by talking to them about their day, concerns, etc. However, even with this intense schedule, the patient still has windows of “unsupervised care”, with no direct observation. Studies have shown that at least 35% of nursing time1 is spent on charting, translating to 8 hours of “unsupervised care’. These windows of unsupervised care lead to adverse events like falls. For delirious/Alzheimer’s dementia patients, with inability to use the nursing call light, basic needs like water, bathroom trips go unaddressed.

The Product: ViNA has the capability for a meaningful bi-directional and medically oriented conversation with the patient. This can decrease the cyclical checks the nurses perform. For example, instead of the nurse checking on the patient every 2 hours for bathroom needs, the ViNA can auto-activate to vocally ask this question every 2 hours. The AI technology in the ViNA analyzes the answer, asks patient to stay in bed until the nurse comes. Correspondingly, ViNA is sends a signal to the nurse. This helps the nurse provide immediate assistance, while also eliminating the two hourly cyclical monitoring. With further development and upgrades, the ViNA will document this encounter in the EHR, thus eliminating both nursing charting time and also recording accurate patient events.

The ViNA is being made intelligent using case based scenarios created by Dr. Agarwal, Medical Director of Geriatrics division at BUMCP and UA-COMP. With every passing day, new scenarios are sent to the tech team, which develops mock situations for feeding in the ViNA.

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