Evidence map›Paper›PMID 41928828›Full record

ReviewDigital health

From policy to practice: Evaluating the global implications of the FDA's PDURS framework.

Yingbo Zhang, Li Shen, Shan He, Rongrong Wu, Jiao Wang, Hui Zong, Amin Ullah, Xingyun Liu, Anjun Chen, Fox Dov and 3 more

Abstract readReview
In one paragraph

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.

0numbers the graph read from it
0cells of the map it votes in
0citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

0 citing papers in PubMed.

No citing paper in PubMed yet.

4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

13 authors.

Yingbo ZhangDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Li ShenResearch Program in Systems Oncology, Faculty of Medicine, University of Helsinki, Helsinki, Finland.
Shan HeDepartment of Organic and Inorganic Chemistry, Faculty of Science and Technology, University of the Basque Country (UPV/EHU), Leioa, Spain.
Rongrong WuDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Jiao WangDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Hui ZongDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0002-9142-5017
Amin UllahDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Xingyun LiuDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Anjun ChenELHS Institute, Palo Alto, CA, USA.
Fox DovCenter for Health Law Policy & Bioethics, School of Law, University of San Diego, San Diego, CA, USA.
Shuang WangDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.
Guojun ZengDepartment of Vascular Surgery, West China Hospital, Sichuan University, Chengdu, Sichuan, China.
Bairong ShenDepartment of Pharmacy, Institutes for Systems Genetics, Frontiers Science Center for Disease-Related Molecular Network, West China Hospital, Sichuan University, Chengdu, China.ORCID https://orcid.org/0000-0003-2899-1531

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

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.

Indexed as

digital managementdigital medicinedigital therapeutics medicationdrug digital labelsPrescription Drug Use-Related Software (PDURS)

Identifiers

PMID41928828
PMCPMC13039629

What Socratic holds

Textmetadata
LicenceCC BY-NC
Read underepoch 390

Registered trials

None linked

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.