Search Strategy Formulation for Systematic Reviews: issues, challenges and opportunities
Systematic literature reviews play a vital role in identifying the best available evidence for health and social care policy. The resources required to produce systematic reviews can be significant, and a key to the success of any review is the search strategy used to identify relevant literature. However, the methods used to construct search strategies can be complex, time consuming, resource intensive and error prone. In this review, we examine the state of the art in resolving complex structured information needs, focusing primarily on the healthcare context. We analyse the literature to identify key challenges and issues and explore appropriate solutions and workarounds. From this analysis we propose a way forward to facilitate trust and transparency and to aid explainability, reproducibility and replicability through a set of key design principles for tools to support the development of search strategies in systematic literature reviews.
Code (0)
등록된 구현이 없습니다.
Similar Papers 제목 키워드 기반
Large language models streamline automated systematic review: A preliminary study
Large Language Models (LLMs) have shown promise in natural language processing tasks, with the potential to automate systematic reviews. This study evaluates the performance of three state-of-the-art LLMs in conducting s…
PICONeuroLit Navigator: A Neurosymbolic Approach to Scholarly Article Searches for Systematic Reviews
The introduction of Large Language Models (LLMs) has significantly impacted various fields, including education, for example, by enabling the creation of personalized learning materials. However, their use in Systematic …
ArticlesSentiment Analysis in Digital Spaces: An Overview of Reviews
Sentiment analysis (SA) is commonly applied to digital textual data, revealing insight into opinions and feelings. Many systematic reviews have summarized existing work, but often overlook discussions of validity and sci…
Sentiment AnalysisReassessing Large Language Model Boolean Query Generation for Systematic Reviews
Systematic reviews are comprehensive literature reviews that address highly focused research questions and represent the highest form of evidence in medicine. A critical step in this process is the development of complex…
Language ModelingLanguage ModellingLarge Language ModelModel SelectionCan ChatGPT Write a Good Boolean Query for Systematic Review Literature Search?
Systematic reviews are comprehensive reviews of the literature for a highly focused research question. These reviews are often treated as the highest form of evidence in evidence-based medicine, and are the key strategy …