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January 18, 2018Scientific Reports250 citationsOpen Access

Vital Recorder—a free research tool for automatic recording of high-resolution time-synchronised physiological data from multiple anaesthesia devices

HLHyung‐Chul LeeCJChul-Woo Jung

Structured PICO

P
Population
Surgical patients in 10 operating rooms (n=4,335 cases)
I
Intervention
Vital Recorder program for automatic recording of high-resolution time-synchronised physiological data from multiple anaesthesia devices
O
Outcome
Success rate of automatic recording

The Vital Recorder is a successful, free tool for automatically recording high-resolution, time-synchronized physiological data from multiple anesthesia devices, facilitating big data research.

Abstract

The current anaesthesia information management system (AIMS) has limited capability for the acquisition of high-quality vital signs data. We have developed a Vital Recorder program to overcome the disadvantages of AIMS and to support research. Physiological data of surgical patients were collected from 10 operating rooms using the Vital Recorder. The basic equipment used were a patient monitor, the anaesthesia machine, and the bispectral index (BIS) monitor. Infusion pumps, cardiac output monitors, regional oximeter, and rapid infusion device were added as required. The automatic recording option was used exclusively and the status of recording was frequently checked through web monitoring. Automatic recording was successful in 98.5% (4,272/4,335) cases during eight months of operation. The total recorded time was 13,489 h (3.2 ± 1.9 h/case). The Vital Recorder's automatic recording and remote monitoring capabilities enabled us to record physiological big data with minimal effort. The Vital Recorder also provided time-synchronised data captured from a variety of devices to facilitate an integrated analysis of vital signs data. The free distribution of the Vital Recorder is expected to improve data access for researchers attempting physiological data studies and to eliminate inequalities in research opportunities due to differences in data collection capabilities.

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Cite This Study

Lee et al. (2018) studied this question.

synapsesocial.com/papers/69d7829eaa68b335b4f31d51https://doi.org/10.1038/s41598-018-20062-4
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