Comparison of three automated compounding devices for parenteral nutrition according to four key technical tests.

Leenhardt JulienMarjorie DurandLuc ChoisnardMarie-Dominique DesruetRoseline MazetPierrick Bedouch

Published in: European journal of hospital pharmacy : science and practice (2021)

This study compared three ACDs according to four relevant and specific tests. Based on the data acquired, we conclude that ACD 1 is the most accurate, has the lowest flushing volume, is suitable for use in a LFH, and achieves the best results in the production test.

Keyphrases

machine learning
deep learning
electronic health record
high resolution
big data
mass spectrometry
artificial intelligence
data analysis
clinical evaluation