Praedico platform

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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Transforming Health Care Through A 360-Degree View Of Data

How medical care can be substantially improved through a full spectrum view of all factors that affect health was the topic of Payam Etminani's presentation at the 2019 IDGA Veterans Benefits Conference in Washington D.C. Etminani, the CEO of Bitscopic, argued that the ability to view all health data including social, environmental and genomic information in addition to the traditional clinical measures (vital signs, blood work, history of illness etc), would lead to significant improvement in care. Etminani described how recent advances in Big Data and Artificial Intelligence (AI) make combining and using these large and widely varied sets of information possible. Read More »

VA Selects Bitscopic's Praedico for Public Health Surveillance

Press Release | Bitscopic | March 20, 2015

Bitscopic Inc., a leading provider of health analytics tools, announced today that the U.S. Department of Veterans Affairs (VA) has selected its Praedico platform to detect and monitor infectious disease outbreaks across the country. In addition, the VA is going to pilot Bitscopic's advanced analytics software for the early detection and management of hospital acquired infections (HAI) and other clinical informatics applications. Bitscopic's Praedico scans data from electronic health records (EHRs), laboratories, pharmacies, and other sources in seconds. It has been used to analyze infectious disease data including influenza, dengue, Hepatitis C (HCV), etc. Praedico is a modular, highly configurable, and customizable platform. It can detect and monitor large-scale events such as antibiotic resistance trends and potential major disease outbreaks. In addition, it monitors more localized events and tools, such as patient monitoring devices, and surgical site infections. Read More »

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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