Literature reviews are indispensable for Medical Device and In-Vitro Diagnostic (IVD) organizations, serving as a foundational element for regulatory compliance, product development, and market strategy. They provide critical insights into the "state of the art," allowing companies to understand existing technologies, clinical practices, product usage, and competitive landscapes. Furthermore, thorough literature reviews are essential for demonstrating the safety and performance of medical devices and IVDs, fulfilling requirements for regulatory submissions like those mandated by the EU Medical Device Regulation (MDR) and EU In-Vitro Diagnostic Regulation (IVDR). By analyzing existing research, companies can identify potential risks, validate product claims, uncover opportunities for innovation, and identify product usage(s) and failure mode(s) in the clinical use of company and non-company products of a similar device type. This ultimately drives successful product development and market adoption as well as an enhance focus on patient safety. As the volume of published scientific research continues to grow, the time and effort required to perform necessary scientific literature reviews expands accordingly. Continuing to employ traditional, manual-only review is becoming increasingly untenable due to the volume of published literature and the breadth of content and source sites. Fortunately, the responsible use of increasingly accepted technologies like Generative AI offers new ways to tackle this problem. |
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IQVIA's AI-Assisted Literature Review solution—powered by IQVIA Healthcare-grade AI™ —accelerates and enhances scientific literature review. It acts as an AI assistant, expediting the tedious, manual process and enabling experts to focus their time on what matters – generating accurate, high-quality outputs that have a dual focus on patient safety and commercial performance. This allows your team to drive greater value by gaining faster insight from massive volumes of scientific literature.
Join major life science organizations benefiting from IQVIA’s Scientific Literature Review solution, powered by IQVIA Healthcare-grade AI™. Customers have found they can complete previously-manual work in a third of the time using AI-assisted review.
Implementing effective scientific literature reviews is critical to Medical Device and IVD organizations, empowering analysis and evaluation of a large volume of scientific literature to support safety and performance assessments, Clinical Evaluation Reports (CERs), regulatory compliance and Post-Market Surveillance (PMS).
Yet most organizations lack access to an AI-enabled centralized database of easily queried and searchable documents and the tech and specialized expertise needed to extract meaningful information quickly while conducting a thorough literature review, for example, to demonstrate equivalence and fulfil requirements for EU MDR/IVDR conformity assessments.
Many struggle with the sheer volume of documents, with some analysis left entirely out of reach because doing a deep comprehensive review manually would take a year or more. The traditional solution to this problem is restricting the search, thereby narrowing the results. But, of course, this means missing out on a wide range of potential insights that could produce the comprehensive evidence needed to accelerate market access, regulatory approvals, and ongoing Post-Market Clinical Follow-up (PMCF) and Post-Market Performance Follow-up (PMPF) requirements .
IQVIA's AI-Assisted Scientific Literature Review solution enables your team to review a much larger volume of documents, giving you access to more information and insight to drive informed decision-making.
Our modular solution can be tailored to your needs, depending on where you most need help to accelerate your scientific literature review, whether in the discovery, search, extraction, or review phase.
Situation: The volume and velocity of published research related to COVID-19 is unprecedented in scale and diversity. The ongoing extraction of insights from such rich and expansive information posed a significant challenge for a Top 10 healthcare client seeking enhanced publication monitoring with efficient selection and accurate extraction from the most relevant and high-quality peer-reviewed articles.
Solution: The capabilities of IQVIA Healthcare-grade AI™ enabled a “living review” database in which key publication databases were continuously searched, appropriate papers selected for review, and real-world data was extracted from the published studies, giving the client increased insight into the desired research. Generative AI and Natural Language Processing (NLP) methods were combined with IQVIA Evidence Synthesis expertise to semi-automate data curation, extraction, and synthesis to expedite the literature review process. Our Human-Assisted Review Tool (HART) ensured prompt validation of results with expert oversight to ensure accuracy.
Results: The living review's advanced search and extraction capabilities delivered significant results for the client, including a 70% reduction in manual data extraction efforts. Adapting methods based on IQVIA expert feedback from HART allowed for seamless integration between experts and AI, delivering capabilities precisely optimized for the client’s needs.
For more information on IQVIA's AI-Assisted Scientific Literature Review solution—powered by IQVIA Healthcare-grade AI™ —contact our experts at AppliedAIScienceInfo@IQVIA.com or +1 866 267 4479.