Future of Work News

Ehave Pushes Big Data, AI for Future of Healthcare

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Precision medicine is the future of healthcare. Thanks to leading-edge technologies like machine learning and Artificial intelligence, it’s possible for clinicians and healthcare workers to monitor and treat patients more effectively.

In response to a growing need for more sophisticated tools to track, analyze and predict patient health in the wake of the COVID-19 pandemic, Ehave has stepped up its efforts to develop and incorporate these essential solutions.

Ehave is a provider of digital therapeutics for the psychedelic and mental health sectors.

In addition to mental health resources, they’re developing tools and stimulating predictive models for COVID-19 research.

The company said it will continue to address big data management for healthcare to transform clinical research, identify treatment protocols, and increase the virtual care capabilities of health providers. It is also focused on improving cloud security using BurstIQ so patient data can be securely coordinated and stored.

“Ehave moved predictive analytics to the forefront for mental health. The acceleration and acceptance of digital technology in 2021 means more health systems now have the technical capabilities to practice precision medicine as they move closer to predictive analytics,” said Ben Kaplan, CEO of Ehave.

“The Ehave dashboard has machine learning-powered models to identify high risk and the likelihood of problems among mental health patients. This offers healthcare providers more efficient patient management.”

In the future, these technologies will be ready and available during bedside care and coupled with biometric trackers and hyper-personalized data, will allow for more proactive management and overall improved patient outcomes.

Interested in hearing more about how AI and Machine Learning will transform businesses in all sectors? Join us for the Future of Work Expo in Miami, Florida, June 22-25, 2021.




Edited by Maurice Nagle

Future of Work Contributor

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