PraediAlert

See the following -

Bitscopic's Machine Learning Algorithm Detects COVID-19 from Standard Blood Labs

Press Release | Bitscopic | October 2, 2020

Bitscopic Inc., a Silicon Valley based healthcare analytics company, announced today they have developed a machine learning prediction model that can identify COVID-19 infected patients using data from standard laboratory blood tests. The model, published in "Clinical Infectious Diseases," was developed using laboratory data from over 75,000 COVID-19 infected Veteran patients receiving care at VA medical centers. Payam Etminani, Bitscopic's CEO, said: "We are very excited by these results, as it demonstrates that inexpensive and easily attainable patient data can be used to construct a diagnostic fingerprint that can identify symptomatic cases of COVID-19. We are learning how the relatively blunt instrument of routine blood tests, through the power of machine learning, can be crafted into something approaching a precision tool."

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VA's Palo Alto Hospital Selects Bitscopic's PraediAlert Clinical Surveillance Platform

Press Release | Bitscopic | September 14, 2020

Bitscopic Inc., a Silicon Valley based healthcare analytics company, announced today that the US Department of Veteran's Affairs (VA) Palo Alto Medical Center has selected Bitscopic's PraediAlert platform for clinical surveillance. PraediAlert is an FDA registered clinical surveillance system that allows hospitals to improve patient care and patient safety by minimizing and managing patients at risk for hospital acquired infections (HAI) as well as optimizing care team productivity and workflows to improve patient outcomes.

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