Medical Writing Artificial Intelligence and Machine Learning A survey on current use of software tools for systematic literature reviews
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Volume 32, Issue 3 - Artificial Intelligence and Machine Learning

A survey on current use of software tools for systematic literature reviews

Abstract

Adoption of the EU Medical Devices Regulations and In Vitro Diagnostics Regulations has led to increased demand for systematic literature reviews. This article reports on a survey investigating the current use of software platforms and tools by regulatory medical writers and others involved in conducting systematic literature reviews. The survey was completed by 125 respondents from 31 countries, evenly spread across different levels of experience. Most respondents use a partially automated (35%) or fully manual process (59%). Familiarity with specific software to conduct systematic literature reviews was low, with most respondents (61%–84%) indicating they were unfamiliar with five software applications and tools. Data extraction was named as both the most time-consuming and error-prone step in the process. Process improvement, improvement of data extraction, and time saving were seen as topics where systematic literature review software could make the most valuable contribution.

Medical Writing. 2023;32(3):48–54. https://doi.org/10.56012/lxrcb5395

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Raquel Billiones

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Evguenia Alechine

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Victoria White

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Anuradha Alahari

Jennifer Bell

Nicole Bezuidenhout

Claire Chang

Barbara Grossman

Sarah Milner

John Plant

Sampoorna Rappaz

Amy Whereat

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Jennifer Bell

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Nicole Bezuidenhout 

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Somsuvro Basu

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Ivana Turek

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Wendy Kingdom / Amy Whereat

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Alison McIntosh 

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Maria Kołtowska-Häggström

Lingua Franca and Beyond

Phil Leventhal

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Lisa Chamberlain-James

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Payal Bhatia

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Evguenia Alechine

My First Medical Writing

Anuradha Alahari

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Laura Kehoe

Out on Our Own

Tiziana von Bruchhausen

Pharmacovigilance

Clare ChangZuo Yen Lee 

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Sam Hamilton

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Claire Gudex

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Kimi Uegaki

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Louisa Marcombes

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