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- Title
Generative AI in Clinical Research: Regulatory Submissions, Clinical Data Management, and Beyond.
- Authors
Mansoor, Ihab; Ortiz, Javier García; Rector, Matthew
- Abstract
Artificial intelligence and its subsets, such as generative arti- ficial intelligence, have been making headlines due to their potential to accelerate the growth and expansion of various industries, including healthcare. However, the majority of application areas in healthcare revolve around diagnosing diseases, finding lead molecules for potential treatments, optimizing hospital operations, and other related aspects. This means that there are areas where the potential of these technologies is still to be realized. Examples of where such technologies could produce a significant impact across multiple elements are clinical research and its related domains, including regulatory submissions, clinical data management, clinical documentation, and other closely related areas. When artificial intelligence and its related technologies are utilized in these areas, they yield unparalleled outcomes regarding efficiency, consistency, and reproducibility. This, in turn, supports professionals involved in clinical research, like medical writers, statistical programmers, and other stakeholders, to drastically improve the speed by which they produce the initial drafts of various outputs, reduce the risk of errors that could lead to submission rejection, and optimize the overall clinical research work- flow. Despite the potential of this area, the number of available solutions that support the aforementioned domains remains low. This is further complicated by the fact that there are even fewer numbers of working solutions.
- Subjects
DIAGNOSIS; DOCUMENTATION; RISK assessment; DATABASE management; HEALTH facility administration; LABOR productivity; ARTIFICIAL intelligence; CLINICAL medicine research; INFORMATION technology; AUTHORSHIP; WORKFLOW; MEDICAL writing; PUBLISHING; HEALTH care industry; HEALTH outcome assessment; HUMAN error; GOVERNMENT regulation
- Publication
AMWA Journal: American Medical Writers Association Journal, 2024, Vol 39, Issue 1, p42
- ISSN
1075-6361
- Publication type
Article
- DOI
10.55752/amwa.2024.304