Learning on the job: using Artificial Intelligence to support rapid review methods
DOI:
https://doi.org/10.5195/jmla.2024.1868Keywords:
public health, rapid review, Artificial IntelligenceAbstract
The National Collaborating Centre for Methods and Tools’ (NCCMT) Rapid Evidence Service conducts rapid reviews on priority questions to respond to the needs of public health decision-makers. Given the vast quantity of literature available, a key challenge of conducting rapid evidence syntheses is the time and effort required to manually screen large search results sets to identify and include all studies relevant to the research question within an accelerated timeline. To overcome this challenge, the NCCMT investigated the integration of artificial intelligence (AI) technologies into the title and abstract screening stage of the rapid review process to expedite the identification of studies relevant to the research question.
The NCCMT is funded by the Public Health Agenda of Canada and affiliated with McMaster University.
References
National Collaborating Centre for Methods and Tools. Rapid Evidence Service, Suite 210A – 175 Longwood Rd S., Hamilton, ON, Canada, L8P 0A1; https://www.nccmt.ca/rapid-evidence-service; free.
DistillerSR. DistillerSR: Literature Review Software, Suite 450 - 505 March Rd, Ottawa, ON, Canada, K2K 3A4; https://www.distillersr.com/; contact vendor for pricing.
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Copyright (c) 2024 Kristin Rogers, Leah Hagerman, Sarah Neil-Sztramko, Maureen Dobbins
This work is licensed under a Creative Commons Attribution 4.0 International License.
