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. 2021 Jan:100:106219.
doi: 10.1016/j.cct.2020.106219. Epub 2020 Nov 17.

Using digital technologies in clinical trials: Current and future applications

Affiliations

Using digital technologies in clinical trials: Current and future applications

Carmen Rosa et al. Contemp Clin Trials. 2021 Jan.

Abstract

In 2015, we provided an overview of the use of digital technologies in clinical trials, both as a methodological tool and as a mechanism to deliver interventions. At that time, there was limited guidance and limited use of digital technologies in clinical research. However, since then smartphones have become ubiquitous and digital health technologies have exploded. This paper provides an update to our earlier publication and an overview of how technology has been used in the past five years in clinical trials, providing examples with varying levels of technological integration and across different health conditions. Digital technology integration ranges from the incorporation of artificial intelligence in diagnostic devices to the use of real-world data (e.g., electronic health records) for study recruitment. Clinical trials can now be conducted entirely virtually, eliminating the need for in-person interaction. Much of the published research demonstrates how digital approaches can improve the design and implementation of clinical trials. While challenges remain, progress over the last five years is encouraging, and barriers can be overcome with careful planning.

Keywords: Artificial intelligence; Clinical trials; Digital technology; Electronic health records; Smartphones.

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Conflict of interest statement

Conflicts of interest:

Author LAM is affiliated with Pear Therapeutics, Inc., HealthSim, LLC, and Square2 Systems, Inc. Conflicts of interest are extensively managed by her academic institution, Dartmouth College.

CR, ELW, MB and ANCC report no conflicts of interest.

Figures

Figure 1:
Figure 1:
% of U.S. Adults Who Use the Internet, By Age Source: Pew Research Center, 2019d
Figure 2:
Figure 2:
% of U.S. Adults Who Use the Internet, By Community Type Source: Pew Research Center, 2019d

References

    1. Abramoff MD, Lavin PT, Birch M, Shah N, & Folk JC (2018). Pivotal trial of an autonomous AI-based diagnostic system for detection of diabetic retinopathy in primary care offices. npj Digital Medicine, 1, 39. doi: 10.1038/s41746-018-0040-6 - DOI - PMC - PubMed
    1. Agrawal R. & Prabakaran S. (2020). Big data in digital healthcare: lessons learnt and recommendations for general practice. Heredity, 124, 525–534. doi: 10.1038/s41437-020-0303-2 - DOI - PMC - PubMed
    1. Ali Z, Zibert JR, Thomsen SF (2020) Virtual Clinical Trials: Perspectives in Dermatology. Dermatology 236:375–382. doi: 10.1159/000506418 - DOI - PubMed
    1. Bartlett VL, Dhruva SS, Shah ND, Ryan P, & Ross JS (2019). Feasibility of using real-world data to replicate clinical trials evidence. JAMA Network Open, 2(10), e1912869. doi: 10.1001/jamanetworkopen.2019.12869 - DOI - PMC - PubMed
    1. Benchoufi M, & Ravaud P. (2017). Blockchain technology for improving clinical research quality. Trials, 18(1), 335. doi: 10.1186/s13063-017-2035-z - DOI - PMC - PubMed

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