Our challenge was to reduce the number of preventable transfers from long-term care homes to the ER. Our solution was a machine learning model that users accessed through a web application that determined whether a transfer was necessary or not by predicting whether the patient would be discharged or admitted into a unit at the hospital. This would allow physicians, nurses, and general practitioners to make better decisions in regards to transferring patients from long-term care homes to the ER. By reducing the number of unnecessary transfers to the ER, there are less transport and health-related complications for patients, unnecessary costs on the healthcare system, and ER crowding.

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Challenge Champions:

Poonam Sehgal & Sats Sehgal

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Team:

Michael Wang, Amna Adnan, Kennedy Romick, Pujarati Roy, Paresh Mungara

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Website:

https://seniorly.ai/