The organizations’ collaborative research project will initially aim to find the best treatment and management strategies for subarachnoid hemorrhage and diabetes based on healthcare data and computer simulations.
Dublin, Ohio-based Cardinal Health and Virtusa will use the company’s cloud-based data management platform to simulate a comprehensive dataset comprising EHRs representative of more than 30,000 patients. With the dataset, researchers hope to identify hidden trends that can help support new treatment plans and cures for a variety of illnesses. Virtusa’s cloud platform is available through AWS’ marketplace for third-party developers.
“The EHR data simulated by Virtusa’s platform will help us test and validate our new predictive models and machine learning algorithms before applying to the real EHR data,” said Hulin Wu, PhD, chair of UT Health’s biomedical informatics department, according to the news release.
UT Health will use the simulated dataset to train and evaluate AI and machine learning models capable of predicting treatment outcomes for specific illnesses.
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