Empowering Stroke Research: Dr. Yasmin Aziz’s Journey with Nested Knowledge
In the ever-evolving field of stroke research, new questions about different therapies, trial outcomes, and even metrics of procedural success are constantly emerging, meaning that systematic reviews are needed on a consistent basis to extract all information needed to inform both patient care and future research. In these projects, because of the major decisions that may result from the findings and because of how busy stroke physicians are, the efficiency and accuracy are paramount.
Recently, we sat down for a conversation with Dr. Yasmin Aziz, a practicing neurologist and Assistant Professor in the Neurology and Rehabilitation Medicine Department at the University of Cincinnati (UC) Gardner Neuroscience Institute.
Introducing Core Smart Tags
Introducing Core Smart Tags If you are familiar with Tagging in Nested Knowledge, you know how integral the process of setting up a tagging hierarchy is to overall study design. If Tagging is new to you, check out this article and then come back to this one! In short, Tagging is the critical function for […]
JCA: How Nested Knowledge Helps
A blog about systematic literature reviews? Yep, you read that right. We started making software for conducting systematic reviews because we like doing systematic reviews. And we bet you do too. If you do, check out this featured post and come back often! We post all the time about best practices, new software features, and upcoming […]
Validation Summary: Robot Screener’s Performance in Screening Records for Systematic Literature Review and Health Technology Assessment
Systematic literature reviews (SLRs) are the backbone of Health Economics and Outcomes Research (HEOR), playing a vital role in Health Technology Assessments (HTAs). However, the vast quantity of research publications can turn the initial screening of abstracts into a time-consuming roadblock. Nested Knowledge’s (NK) Robot Screener is an AI tool poised to revolutionize this process, […]
Tag Tables, Explained
Nested Knowledge’s flexible extraction mechanism helps reflect complex methods and data from records.
Test driving Systematic Review software: What does “Feature Complete” look like?
Though there are over 240 tools for systematic review on the SR Toolbox, only 24 are functioning, web-based softwares for pre-clinical or clinical review. These range from academic projects to COVID-inspired living visualizations, so not every tool was intended to cover every feature recommended by Mierden/Harrison/Marshall/Kohl, but all tools cover the essential steps of adding studies, screening, and extracting and presenting some sort of review data. Table 4 in the Results section of our freely available feature assessment lays out all the options.
