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Northwell machine learning model can predict COVID-19 respiratory failure

03:55 PM Researchers at Northwell s Feinstein Institutes for Medical Research have developed an AI-powered predictive tool they say can assess patients for their risk of respiratory failure within 48 hours. WHY IT MATTERS New research, led by assistant professors Theodoros Zanos and Dr. Douglas Barnaby of the Feinstein Institutes, and published in the Journal of Medical Internet Research, showed accuracy in identifying at-risk patients for earlier interventions such as critical care consultation and closer patient monitoring. The project centered on electronic health record data from 11,525 patients who were admitted to 13 Northwell hospitals in spring of 2020, when the pandemic was peaking in the New York area. Of those patients, 933 (8%) were placed on ventilators within 48 hours of admission.

ONC s Synthetic Health Data Challenge seeks new approaches to analytics

02:59 PM The Office of the National Coordinator for Health IT this week launched its new Synthetic Health Data Challenge – offering researchers a chance to explore new avenues of medical research. WHY IT MATTERS Participants are invited to develop and test innovative new tools and approaches to build on the capabilities of Synthea, an open-source synthetic patient generator that models the medical histories of synthetic patients. The goal is to advance research and development and to validate the realism of synthetic health records generated by Synthea, according to ONC – creating or improving disease-progression and treatment modules used to create synthetic records, and driving innovative new uses of synthetic health data.

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