Whether it's a document management system or a laboratory information management system, some sort of query function is involved to help the user find specific documents or data. How that data is retrieved—using information retrieval methods—can vary, however. In this 2019 paper published in EURASIP Journal on Wireless Communications and Networking, Binbin Yu details a modified information retrieval methodology that uses a domain-ontology-based approach that integrates document processing and retrieval aspects of the query. Domain ontology takes into account semantic information and keywords, which improves recall and precision of results. After explaining the mathematics and experimentation methodology, Yu concludes "the genetic algorithm shortens the distance compared with simulated annealing, and the ontology retrieval model exhibits a better precision and recall rate to understand the users’ requirements."
While not a laboratory informatics course in itself, this APHL guidebook certainly contains a full class-worth of material. Developed over several years with funding from the Centers for Disease Control and Prevention (CDC), this guide collects comprehensive information from informaticians and laboratorians in multiple countries in regards to the implementation and project management of laboratory information systems (LIS) in the public health setting.