November 2024 SOCRA Source Journal - Journal - Page 11
JOURNAL ARTICLES
Enhancing Patient
Recruitment in
Clinical Trials through
Arti昀椀cial Intelligence: A
Comprehensive Review
Ijeoma Oyegunle MD., MPH
Ijeoma Oyegunle MD., MPH
Senior Scienti昀椀c Project Manager,
Altasciences
Abstract:
Background: Clinical trials are crucial in improving healthcare and creating new medications. However, there are
obstacles, especially in patient recruitment, because of the large expenditure and challenges involved. Therefore,
the general process of drug development is slowed down by the inef昀椀ciencies of traditional procedures. Evidently,
in light of the pressing need for a new approach, this research investigates into the revolutionary possibilities of
Arti昀椀cial Intelligence (AI) to tackle these problems.
Methods: An extensive literature search was undertaken, with an emphasis on English-language articles concerning
the use of AI in clinical trials. Notably, Google Scholar, International Pharmaceutical Abstracts, PubMed and SCOPUS
yielded 48 publications and 9 documents pertaining to regulations that were deemed relevant.
Results: Over half of the publications that were assessed expatiated patient recruitment in some way, which is
consequential. Furthermore, many 昀椀elds may bene昀椀t from AI, including Clinical trial administration, eligibility
analysis, and patient recruitment. Thus, in high-impact therapeutic 昀椀elds like Oncology, statistical analysis shows a
signi昀椀cant bene昀椀cial effect of AI on patient recruitment rates.
Conclusion: Incorporating AI into clinical trials is innovative when it comes to patient recruiting; hence, by
democratizing trial access, AI tackles concerns of awareness and inclusion while also streamlining procedures and
improving ef昀椀ciency. Indeed, clinical trials may become more accessible, participant-centric, and ef昀椀cient with the
help of AI, which can improve participant safety, decrease operational burdens, and speed up trial timelines.
INTRODUCTION
Clinical trials are essential
to medical knowledge and
medication safety, promoting
innovation and assuring
worldwide ef昀椀cacy. However,
clinical trials’ high costs and
dangers provide signi昀椀cant
problems for pharmaceutical
businesses (Zhavoronkov et al.
2020; Basile et al. 2019). Despite
their importance, conventional
clinical trial procedures have
obstacles, notably in patient
recruiting, which slows
medication development.
Therefore, clinical trials are the
gold standard for producing
safe and effective medications
which is crucial to medical
progress (Sangari & Qu 2020).
Evidently, beyond evaluating
pharmacological treatments,
they develop evidence-based
procedures and contribute to
customized medicine trends,
thus, despite its relevance,
the trial procedure needs
innovation, notably in patient
recruiting (Lee & Lee 2020).
Patient recruitment is a vital
part of clinical trials. However,
traditional techniques and
inef昀椀ciencies are challenging in
participant recruitment which
slows new drug development
using standard methods
(Hussein et al. 2022; Langbaum
et al. 2023). Nevertheless,
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