2021
DOI: 10.9734/jpri/2021/v33i43b32573
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Health in Digital World: A Regulatory Overview in United States

Abstract: Adaptation towards digitalization in pharmaceuticals leads to the utilization and development of Artificial Intelligence (AI). Significantly it is reducing human workload with the help of an algorithm. Already AI is acting as a key in clinical trial, health care, quality management, manufacturing, product development, and management. Top pharmaceutical companies have adopted AI in different applications within the pharma sector. Different AI models like Machine learning, Artificial Neural Network, Deep Learnin… Show more

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Cited by 6 publications
(5 citation statements)
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“…In Washington, accelerated discussions on AI regulation are occurring, with various conferences and workshops being convened alongside major institutions and academia. However, predicting the exact content and scope of the U.S.'s AI regulatory direction is challenging as it is still in its nascent stage (Mishra et al 2021). Despite this, there has been some activity, such as the submission of AI-related bills by certain Congressional members, although these bills are in preliminary stages without widespread support and consensus (Gourraud and Simon, 2020).…”
Section: The Necessity Of Safety Regulatory Policiesmentioning
confidence: 99%
“…In Washington, accelerated discussions on AI regulation are occurring, with various conferences and workshops being convened alongside major institutions and academia. However, predicting the exact content and scope of the U.S.'s AI regulatory direction is challenging as it is still in its nascent stage (Mishra et al 2021). Despite this, there has been some activity, such as the submission of AI-related bills by certain Congressional members, although these bills are in preliminary stages without widespread support and consensus (Gourraud and Simon, 2020).…”
Section: The Necessity Of Safety Regulatory Policiesmentioning
confidence: 99%
“…AI/ML is currently being employed extensively in the pharmaceutical and healthcare industries, and it is also having a significant impact on clinical trials because of the adaptation of electronic health records, consumer safety reports, etc. 16 Deep learning (DL) techniques, which are part of AI/ML, can be used to fine-tune the model based on new data obtained from ongoing studies, and predictive analytics, which is used to determine trial risk, can be used in centralized/risk-based monitoring to assess investigator site performance and predict it based on previous performance. This study could be utilized to develop adaptive site monitoring strategies for high-risk locations, such as increasing monitoring frequency and resource allocation.…”
Section: Use Of Ai/ml In the Risk-based Monitoring Processmentioning
confidence: 99%
“…Companies who are unable to satisfy requests for unfriendly event disclosures at the establishment level should get in touch with the relevant FDA legitimate unit responsible for ensuring consistency in unfriendly event disclosures. 16…”
Section: Readiness To Report Adverse Events During Eumentioning
confidence: 99%
“…►Table 1 likewise incorporates definite ideas for a few items as well as additional subtleties. 16 A) Revealing after the pandemic Organizations are expected to continue meeting all disclosure requirements on time and submitting reports that were delayed because of the pandemic-related high worker absenteeism after the calamity has passed and the situation has returned to pre-pandemic levels. Companies must follow the procedures they have in place for storing reports that were not captured during the relevant timeframes.…”
Section: Approach To Requirements Through An Epidemic By High Employe...mentioning
confidence: 99%
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