Understanding literature and AI: how to choose and conduct the right assessment for your research question.

Weidmann, Anita; Tonna, Antonella

Abstract

This masterclass was presented on the 30th October 2023 at the 2023 ESCP Aberdeen symposium. Building on previous successful editions, this Masterclass provided an overview of each of the different types of literature review, narrative, scoping and systematic, and help design research question and stepwise protocol relevant to researchers own interests while also spending some time to critically reflect on the future use of AI in the scientific writing process. Summarising, evaluating and critically analysing the vast body of available scientific literature to further their research and practice, poses numerous challenges for healthcare researchers, professionals, and early career researchers. For example, a vast range of scientific literature exists on each topic using different research designs, underpinning theory, sampling strategies and sampling sizes. In addition, several different types of literature reviews exist (narrative, scoping and systematic), so choosing the correct approach to answer research question can be challenging. In addition, we are now seeing the advent of artificial intelligence (AI) tools that can achieve a literature review in a fraction of the time, seemingly short-circuiting this laborious process.

Citation

WEIDMANN, A. and TONNA, A. 2023. Understanding literature and AI: how to choose and conduct the right assessment for your research question. Presented as part of the 51st European Society of Clinical Pharmacy (ESCP) symposium on clinical pharmacy 2023 (ESCP 2023): innovations in clinical pharmacy practice, education and research, 30th October 2023, Aberdeen, UK.

• Presentation Conference Type: Other
• Conference Name: 51st European Society of Clinical Pharmacy (ESCP) symposium on clinical pharmacy 2023 (ESCP 2023): innovations in clinical pharmacy practice, education and research
• Conference Location: Aberdeen, UK
• Start Date: Oct 30, 2023
• Deposit Date: Feb 24, 2024
• Publicly Available Date: Mar 28, 2024
• Keywords: Scientific literature; Research and practice; Healthcare researchers; Healthcare professionals; Literature reviews; Artificial intelligence (AI)
• Public URL: https://rgu-repository.worktribe.com/output/2255158