TY - GEN
T1 - A centralized data acquisition framework for operating theatres
AU - Ostler, D.
AU - Kranzfelder, M.
AU - Stauder, R.
AU - Wilhelm, D.
AU - Feussner, H.
AU - Schneider, A.
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015
Y1 - 2015
N2 - The striving for cognitive operating rooms (OR) and their optimization towards patient safety and room occupancy raises the importance of detailed assessments of various data, which is available in the OR. In order to model surgical workflows it is necessary to acquire the actions of the surgical staff and the data from peripheral devices, surgical lights, operating tables as well as further information present in the OR. In this work, we present a centralized framework, which allows on the one hand the assessment and visualization of various device- and sensor information in real-time and on the other hand additional human workflow annotations in a collaborative manner during the operation. The network based system is fully integrated in a clinical OR and able to record data of the most principle devices during laparoscopic surgeries. Additional information assessed by human observers can be annotated easily via a web-based frontend in real-time on any handheld device like tablets or laptops. Due to its modular design the system is under constant development to expand its scope regarding further devices, sensors and manual annotation possibilities.
AB - The striving for cognitive operating rooms (OR) and their optimization towards patient safety and room occupancy raises the importance of detailed assessments of various data, which is available in the OR. In order to model surgical workflows it is necessary to acquire the actions of the surgical staff and the data from peripheral devices, surgical lights, operating tables as well as further information present in the OR. In this work, we present a centralized framework, which allows on the one hand the assessment and visualization of various device- and sensor information in real-time and on the other hand additional human workflow annotations in a collaborative manner during the operation. The network based system is fully integrated in a clinical OR and able to record data of the most principle devices during laparoscopic surgeries. Additional information assessed by human observers can be annotated easily via a web-based frontend in real-time on any handheld device like tablets or laptops. Due to its modular design the system is under constant development to expand its scope regarding further devices, sensors and manual annotation possibilities.
KW - data acquisition
KW - digital operating room
KW - surgical sensor network
KW - surgical workflow
UR - http://www.scopus.com/inward/record.url?scp=84966552384&partnerID=8YFLogxK
U2 - 10.1109/HealthCom.2015.7454463
DO - 10.1109/HealthCom.2015.7454463
M3 - Conference contribution
AN - SCOPUS:84966552384
T3 - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
SP - 1
EP - 5
BT - 2015 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 17th International Conference on E-Health Networking, Application and Services, HealthCom 2015
Y2 - 13 October 2015 through 17 October 2015
ER -