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Design and implementation of a hospital wide waveform capture system

Overview of attention for article published in Journal of Clinical Monitoring and Computing, September 2014
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Article details
Title
Design and implementation of a hospital wide waveform capture system
Published in
Journal of Clinical Monitoring and Computing, September 2014
DOI 10.1007/s10877-014-9612-4
Pubmed ID
Authors

James M. Blum, Heyon Joo, Henry Lee, Mohammed Saeed

Abstract

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 10 month 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 11 MB of data. The average single day data collection consisted of 8.6 GB 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.

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X Demographics

X Demographics

The data shown below were collected from the profiles of 2 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley demographics

Mendeley demographics

The data shown below were compiled from readership statistics for 23 Mendeley readers of this research output. Click here to see the associated Mendeley record.
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Geographical breakdown

Geographical breakdown
Country Count As %
Canada 2 9%
Unknown 21 91%

Demographic breakdown

Readers by professional status
Readers by professional status Count As %
Researcher 4 17%
Other 3 13%
Professor 3 13%
Student > Bachelor 2 9%
Lecturer > Senior Lecturer 1 4%
Other 5 22%
Unknown 5 22%
Readers by discipline
Readers by discipline Count As %
Medicine and Dentistry 9 39%
Nursing and Health Professions 3 13%
Engineering 2 9%
Business, Management and Accounting 1 4%
Computer Science 1 4%
Other 0 0%
Unknown 7 30%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 1. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 09 March 2016.
All research outputs
#15,684,532
of 23,306,612 outputs
Outputs from Journal of Clinical Monitoring and Computing
#436
of 712 outputs
Outputs of similar age
#131,997
of 226,987 outputs
Outputs of similar age from Journal of Clinical Monitoring and Computing
#3
of 14 outputs
Altmetric has tracked 23,306,612 research outputs across all sources so far. This one is in the 22nd percentile – i.e., 22% of other outputs scored the same or lower than it.
So far Altmetric has tracked 712 research outputs from this source. They typically receive a little more attention than average, with a mean Attention Score of 6.2. This one is in the 28th percentile – i.e., 28% of its peers scored the same or lower than it.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 226,987 tracked outputs that were published within six weeks on either side of this one in any source. This one is in the 32nd percentile – i.e., 32% of its contemporaries scored the same or lower than it.
We're also able to compare this research output to 14 others from the same source and published within six weeks on either side of this one. This one has gotten more attention than average, scoring higher than 71% of its contemporaries.