Deep into Laboratory: An Artificial Intelligence Approach to Recommend Laboratory Tests.

ABSTRACT: Laboratory tests are performed to make effective clinical decisions. However, inappropriate laboratory test ordering hampers patient care and increases financial burden for healthcare. An automated laboratory test recommendation system can provide rapid and appropriate test selection, potentially improving the workflow to help physicians spend more time treating patients. The main objective of this study was to develop a deep learning-based automated system to recommend appropriate laboratory tests. A retrospective data collection was performed at the National Health Insurance database between 1 January 2013, and 31 December 2013. We included all prescriptions that had at least one laboratory test. A total of 1,463,837 prescriptions from 530,050 unique patients was included in our study. O

SUBMITTER: Islam MM 

PROVIDER: S-EPMC8227070 | biostudies-literature | 2021 May

REPOSITORIES: biostudies-literature