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Columbia University’s Data Science Institute Presents:
DATA SCIENCE DAY

Authors/Collaborators are listed in alphabetical order.



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Wednesday, April 6 • 2:00pm - 4:30pm
Cardiorespiratory Events in the NICU: Continuous Monitoring, Data Repositories and Daily Automated Reporting Versus Intermittent Bedside Documentation [P2]

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We compared hemoglobin oxygen saturation data (SpO2) from a continuous data (CD) repository called BedMaster with intermittent documentation (ID) by the bedside nurse in the first month of life in premature infants. BedMaster is an archive database that is interfacing with the bedside patient monitors to collect and archive vital signs, waveforms and clinical alarm data every 2 seconds. A novel algorithm is then applied to remove artifact based on heart rate signal. CD showed higher number of desaturation episodes per day compared to ID (35 vs 3; p<0.001). CD was also able to be manipulated to show the percent time infants spent in various categories of oxygenation levels, something not yet available at the bedside or in the literature. Using a CD repository and custom algorithms, we are able to categorize a natural history of oxygen burden in premature infants not previously available to us or in the literature.

Demo/Poster Presenter
avatar for Nimrod Goldshtrom

Nimrod Goldshtrom

Postdoctoral Clinical Fellow in Pediatrics, College of Physicians and Surgeons
Nimrod is a third year clinical fellow in neonatology at the medical center. His research is currently on using non-invasive monitoring on preterm infants specifically looking at associations with feeding and whether near-infrared spectroscopy can be used to predict disease. He is also part of a working group trying to utilize continuous, real-time vital sign data to generate hypotheses and evaluate clinical status of infants in the intensive... Read More →



Wednesday April 6, 2016 2:00pm - 4:30pm
Roone Arledge Auditorium Lerner Hall, Columbia University 2920 Broadway, New York, NY 10040

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