Systematic online living evidence summaries: emerging tools to accelerate evidence synthesis

Kaitlyn Hair, Emma Wilson, Charis Wong, Anthony Tsang, Malcolm Macleod, Alexandra Bannach-Brown

Research output: Contribution to journalArticlepeer-review

Abstract / Description of output

Systematic reviews and meta-analysis are the cornerstones of evidence-based decision making and priority setting. However, traditional systematic reviews are time and labour intensive, limiting their feasibility to comprehensively evaluate the latest evidence in research-intensive areas. Recent developments in automation, machine learning and systematic review technologies have enabled efficiency gains. Building upon these advances, we developed Systematic Online Living Evidence Summaries (SOLES) to accelerate evidence synthesis. In this approach, we integrate automated processes to continuously gather, synthesise and summarise all existing evidence from a research domain, and report the resulting current curated content as interrogatable databases via interactive web applications. SOLES can benefit various stakeholders by (i) providing a systematic overview of current evidence to identify knowledge gaps, (ii) providing an accelerated starting point for a more detailed systematic review, and (iii) facilitating collaboration and coordination in evidence synthesis.

Original languageEnglish
Pages (from-to)773-784
Number of pages12
JournalClinical science
Issue number10
Publication statusPublished - 23 May 2023

Keywords / Materials (for Non-textual outputs)

  • Software
  • Technology
  • Data Mining
  • Machine Learning
  • Evidence-Based Medicine
  • Automation


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