ReviewDigital health
From policy to practice: Evaluating the global implications of the FDA's PDURS framework.
Review in Digital health. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
0 citing papers in PubMed.
No citing paper in PubMed yet.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
13 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
With the rapid development of digital medicine, drug therapy is gradually shifting from a traditional model centered on static information delivery to a dynamic management paradigm driven by software, data, and patient-centered care. In September 2023, the U.S. Food and Drug Administration (FDA) released the Prescription Drug Use-Related Software (PDURS) framework, providing a regulatory foundation for the regulation of software-generated end-user outputs that are directly related to prescription drug use and treated as part of drug labeling. From a digital medicine perspective, this review systematically summarizes the core concepts and technical features of the PDURS framework and examines its potential impacts on personalized medicine, drug safety, information transparency, medication use monitoring, and pharmaceutical innovation. The findings suggest that by transforming drug-use information into software-generated, patient-facing outputs that are subject to drug labeling requirements, PDURS supports patient-centered individualized medication decision-making, enhances adverse event monitoring and risk management, and facilitates the continuous generation and application of real-world data. Furthermore, the PDURS framework has profound implications for pharmaceutical companies, influencing research and development models, clinical trial efficiency, regulatory compliance, industry collaboration, and drug value creation, while also posing new requirements for medical education and global drug regulatory coordination. This review further highlights that strengthened international communication and institutional collaboration are essential to fully realize the potential of PDURS as a foundational infrastructure for digital medicine and to promote the healthy development of global drug digitalization and precision medication.
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.