“Surgisphere exists to help make the world a better place. This tool is the first effective weapon in the fight against this global pandemic. Early diagnosis means faster treatment, which means more lives saved,” stated Dr. Sapan Desai, President and Chief Executive Officer of Surgisphere.
Surgisphere used its cloud-based healthcare data analytics platform (QuartzClinical) to identify patients diagnosed with COVID-19 in five countries. A machine learning model using decision tree analysis was created with clinical and lab data on 430 patients to develop this decision support tool. This resource is now available for public use at https://www.SurgicalOutcomes.
The power of machine learning grows with high-quality data. Surgisphere is seeking physicians and healthcare systems to work collaboratively by sharing data to increase the sample size of patients infected with COVID-19. Higher quality data means a more accurate model, which can lead to early diagnosis and treatment. Participation in the global research network is funded by Surgisphere and is free for physicians and healthcare systems. Patients, foundations, and other organizations seeking to support high-quality outcomes research can contribute to this international effort via the website.
An ISO 27001:2013 certified organization and ranked #1 by Frost and Sullivan for machine learning-powered data analytics, Surgisphere has developed one of the most complete, comprehensive, and accurate healthcare databases in the world. With access to point of care data from over 1,200 international partners, this data analytics system monitors the pulse of global healthcare in real time. This international collaboration has led to advances in care for kidney failure, aneurysms, lymphedema, peripheral artery disease, colon cancer, and cardiovascular disease.
Learn more at https://www.SurgicalOutcomes.
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