Laboratory Information Systems and their uses:

Laboratory Information System (LIS) manages the day-to-day workflow and activities of a clinical laboratory including asset tracking, status monitoring, task segmentation and distribution, and is fundamental to the operation of a laboratory. Laboratory Information Systems are unique and specialized to each laboratory as they are made depending on the requirements of the staff, users, and the laboratory itself (Sinard J. et. al., 2015).

Artificial Intelligence and its Implications:

Artificial Intelligence (AI) refers to the replication or simulation of human intelligence by computer systems or machines. For medical fields, artificial intelligence can be used to further enhance decision-support systems through machine learning. Through the collection and storage of large amounts of data, AI applications can be used for decision-making applications that aids medical practitioners in finding information or making decisions, a recent example of this is the AI-enabled decision support system that is used to detect lung cancer in x-ray screening.

References:

Sinard, J. H., Castellani, W. J., Wilkerson, M. L., & Henricks, W. H. (2015). Stand-alone laboratory information systems versus laboratory modules incorporated in the electronic health record. Archives of Pathology and Laboratory Medicine, 139(3). https://doi.org/10.5858/arpa.2013-0711-SO

Howard, J. (2019). Artificial intelligence: Implications for the future of work. In American Journal of Industrial Medicine (Vol. 62, Issue 11). https://doi.org/10.1002/ajim.23037