Usage of a graph database for the selection of sterile items in the OR.

Published in: International journal of computer assisted radiology and surgery (2022)

We have proposed a graph database for the selection of sterile items in the operating room. The example shows how the partial information from different sources can be easily integrated in a query, leading to an unique result. Eventually, we propose possible enhancements to further improve the quality of the recommendations. In the next step, the recommendations of the software will be evaluated in real time during surgeries.

Keyphrases

clinical practice
convolutional neural network
adverse drug
neural network
drinking water
healthcare
data analysis
social media