Disaster Support

Natural disasters and epidemics are unfortunate events that affect people, economies, and governments unexpectedly. Although it’s hard to predict/prevent such events, disaster management, preparedness, response, and coordination can play a crucial role in mitigating the effects, controlling the situation, and making the best use of available resources including alleviating the pressures around our healthcare system.
Through the COVID-19 pandemic, Wiseyak is rolling out various products for disaster management, which one can use for other natural disasters that are not only limited to earthquakes, floods, landslides, heavy rain, drought, famine, etc.

IVR (Interactive Voice Response) and SMS (short message service) population survey

By gathering population information promptly, disaster response efforts can be streamlined and better managed. Through our automated IVR and SMS system, we can send questionnaires at a large scale and gather important data that can help governments and organizations in resource management, population health tracking, and identifying risk areas.

Contact Tracing and Monitoring

Our technology can ring-fence and track higher-risk patients and provide targeted tracing for potential spread of diseases utilizing phone location, contact data, and network provider data. Our facial recognition system which has multiple users can also help as a secure way of registering patients and allows for surveillance of people in mandatory quarantine.

Health Screening Forms

Our WiseMD platform can generate customizable forms for screening patients during pandemics. [refer to Rapid Covid-19 Screening]

Analytics Dashboard

Our GPS tracking and all the data collected from our disaster response as well as other medical data can be anonymized (preserving data privacy rights) and aggregated at a population level. This data shown on our dashboard can identify areas of risk, populations at risk and help healthcare infrastructure as well as supply management in times of disaster. This will allow for data-informed targeted intervention
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