MedNoreg+: A possible contribution to systematic Information Retrieval and access for evidence-based-decision-making

• Main Author: Msomphora, Mbachi Ruth
• Format: Conference Object
• Language: English
• Published: 2022
• Subjects: Tromsø
• Online Access: https://hdl.handle.net/10037/33414

Conference lecture at the international conference Addressing Lifecycles of The Literature in Health Technology Assessment Pre-conference workshop in information retrieval HTAi , 25.06.22 - 29.06.22, Utrecht. Description of the topic theme: To develop a database system called “MedNoreg+” that will enable: 1.Users to systematically search with Norwegian and Swedish terms, apart from English (room for expansion to other languages). 2.All PubMed posts will be loaded automatically into MedNoreg+. 3.Auto index MeSH terms on all the posts, which NLM has not yet been able to index manuall. Relevance of the topic for HTA information management issues, and the overall theme of the HTAi Annual Meeting: Today, PubMed, which is the main open access database in biomedical sciences, seems to have problems to cope with the overwhelming number of new publications. There is a lag-behind in systematic retrieval of publications compared to what is actually published. A complete MeSH index analysis in the year 2020, indicated that there were approximately 2,6 million publications still in the queue to be MeSH indexed. By March 2022, there is a queue of approximately 4,35 million publications not yet indexed with MeSH. This implies that the recent publications are among those that lacks the MeSH terms, and hence problematic. More than 40 % of the documents with a publishing year of 2021 or 2022 still do not have MeSH terms assigned (Per. com.). Besides, the main and important international databases within biomedical sciences can only allow systematic search in English language. According to the experience of the herein author, at the University in Tromsø (UiT), this seems to be a barrier to some of the non-native English speaker, and especially students. As such, we believe that our project will significantly contribute to solving such information retrieval problems, and thereby a contribution in helping researchers, practitioners and students to access up-to-date HTA documented knowledge-evidence quickly and systematically. The ...