High Resolution Physiological Data Capture Variability in Patient Monitors Real-time predictive analytics in clinical care environments rely on waveform and numeric data streams generated by physiological monitoring medical devices [1-3]; and drastic differences exist between high-resolution data export functionality between biomedical devices. Here we compare high-resolution capture functionality for Drager Delta Infinity Monitors and Philips IntelliVue MP70 Monitors using a biomedical device integration tool, ViNES. We elucidate data capture limitations between monitoring systems (i.e. waveform and numeric parameter differences) and performance difference (uptime and connections losses). Data presented provides real time predictive analytics researchers critical information on two of the most common patient monitors found in ICUs.

REFERENCES:
[1] Belle, A. et al. “Big Data Analytics in Healthcare,” BioMed Research International,” vol. 2015, Article ID 370194, 16 pages, 2015. doi:10.1155/2015/370194
[2] De Georgia, M.A. et al. “Information Technology in Critical Care: Review of Monitoring and Data Acquisition Systems for Patient Care and Research,” The Scientific World Journal, vol. 2015, Article ID 727694, 9 pages, 2015. doi:10.1155/2015/727694
[3] Rumsfeld, J. et al. “Big data analytics to improve cardiovascular care: promise and challenges,” Nat Rev Cardiol. 2016 Jun; 13(6):350-9. doi: 10.1038/nrcardio.2016.42

DECISION SUPPORT & HOSPITAL MONITORING

Author: Joe McCullagh

Coauthor(s): Joe McCullagh, Jim Mallmann, Chuck Downey, Jon Lachman

Status: Work In Progress