Found total of 3 items
CORONET Nominated for NIHR Clinical Excellence Award
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A tool created in conjunction with the Digital Experimental Cancer Medicine Team to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19 has been selected for a NIHR Clinical Research Network award.
CORONET COVID-19 Risk in Oncology Evaluation Tool - Phase II
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In January 2021, our Research Software Engineers worked with the Digital Experimental Cancer Medicine Team (dECMT) to create a tool to support decisions regarding hospital admissions or discharge in cancer patients presenting with symptoms of COVID-19. The tool has been so successful that multiple improvements are now planned.
CORONET COVID-19 Risk in Oncology Evaluation Tool Launched
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Cancer patients are at increased risk of severe COVID-19. Decision-making tools for hospital admission, severity prediction and increased monitoring for early intervention are critical. The objective of this project was to identify features of COVID-19 in cancer patients predicting severe disease and build a decision-support online tool - COVID-19 Risk in Oncology Evaluation Tool (CORONET).