caa a22 4500 605510075 CHVBK 20210128100644.0 cr unu---uuuuu 210128e20150601xx s 000 0 eng 10.1007/s10877-014-9612-4 doi (NATIONALLICENCE)springer-10.1007/s10877-014-9612-4 Design and implementation of a hospital wide waveform capture system [Elektronische Daten] [James Blum, Heyon Joo, Henry Lee, Mohammed Saeed] The use of telemetry and invasive monitoring is exceptionally common in modern healthcare. To date the vast majority of this information is not stored for more than a brief duration on the local monitor. This prohibits extensive investigation into waveform data. We describe a system to collect such data in a quaternary care facility. Using standardized "packet sniffing” technology along with routine manual documentation, we reverse engineered the Unity network protocol used to transmit waveform data across the University of Michigan mission critical monitor network. Data was subsequently captured using a proprietary piece of software writing waveform data to local disks. Nightly, this data is post-processed using data from the admit-discharge-transfer system into individual patient waveforms for the day regardless of location. Over a 10month period, over 2,785 individual patients had a total of 65,112 waveforms captured 15,978 from the operating rooms and 49,134 from the ICUs. The average OR case collected over 11MB of data. The average single day data collection consisted of 8.6GB of data. Entire hospital waveform data collection is possible using internally developed software enabling research on waveform data with minimal technical burden. Further research is required to determine the long-term storage and processing of such data. Springer Science+Business Media New York, 2014 Waveform nationallicence Capture nationallicence Hospital nationallicence Critical care nationallicence Blum James Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut Joo Heyon Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut Lee Henry Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut Saeed Mohammed Division of Cardiology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, USA aut Journal of Clinical Monitoring and Computing Springer Netherlands 29/3(2015-06-01), 359-362 1387-1307 29:3<359 2015 29 10877 https://doi.org/10.1007/s10877-014-9612-4 text/html Onlinezugriff via DOI BK010053 XK010053 XK010000 Metadata rights reserved Springer special CC-BY-NC licence nationallicence 1 research-article jats NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE 856 40 https://doi.org/10.1007/s10877-014-9612-4 text/html Onlinezugriff via DOI NATIONALLICENCE 700 1- Blum James Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Joo Heyon Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Lee Henry Department of Anesthesiology, University of Michigan Health System, Ann Arbor, MI, USA aut NATIONALLICENCE 700 1- Saeed Mohammed Division of Cardiology, Department of Internal Medicine, University of Michigan Health System, Ann Arbor, MI, USA aut NATIONALLICENCE 773 0- Journal of Clinical Monitoring and Computing Springer Netherlands 29/3(2015-06-01), 359-362 1387-1307 29:3<359 2015 29 10877