Ericsson using AI to help hospital manage COVID-19 patients

The Ericsson logo with a hospital in the background

Ericsson has announced that it’s collaborating with Telia and Sahlgrenska University Hospital to build insight models for planning and predicting the demands on the hospital so it can be better prepared for patients. The research project, which began in September, uses advanced analysis and artificial intelligence (AI) models in combination with healthcare information to help the hospital decide which resources it will need.

While real data from Telia Crowd Insights is being used, it has been anonymised and aggregated so that people’s identities cannot be worked out. Giving hospitals the ability to predict what resources will be needed at certain times of the day should help them better cope with the demand for their services from patients with the deadly coronavirus.

Commenting on the project, Ericsson’s Head of Managed Services Peter Laurin said:

“Ericsson has a long-standing commitment to Technology for Good. We are now extending this to using our AI tools and expertise to help relieve the unprecedented challenges presented by Covid-19. Our collaboration with Telia and Sahlgrenska University Hospital proves the value that data together with technologies like Artificial Intelligence and Machine Learning can bring to healthcare and society.”

As a concrete example of the type of thing this work will enable, Ericsson says that the data can be used to improve estimations of how many COVID-19 patients will be admitted to a hospital. This projection can then be used to ensure that there are enough equipment and hospital beds to treat patients.

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