The article addresses a critical challenge in medical research: the high dropout rates in clinical trials, which often exceed 30%, posing a threat to therapeutic development. It identifies financial strain, time constraints, and the rigid structure of clinical trial protocols as major contributing factors to participant attrition. The article advocates for a paradigm shift towards patient-centric clinical trials that prioritize the participant experience to enhance retention and ensure diverse and representative study populations. It underscores the role of patient-centric technologies, such as digital platforms and artificial intelligence, in revolutionizing clinical trials. These technologies improve remote accessibility, mitigate financial barriers, streamline patient recruitment, and improve data capture. The integration of AI, in particular, is lauded for its ability to efficiently identify and engage potential participants. The ultimate goal of employing such technologies is to make clinical trials more accessible and inclusive, fostering a more diverse participant base, and yielding results that are representative of the broader population. The article concludes by emphasizing the urgent need for patient-centric methodologies and technologies to overcome the dropout dilemma and advance medical research towards better global health outcomes.
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Harsha Rajasimha (2024) studied this question.
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