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Cited by 349

The DOI matches its Crossref record; 2 of the 2 references it cites were found in a registry or an index.

Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations

Open access
Topaloglu, Umit, Palchuk, Matvey B.·2018·JCO Clinical Cancer Informatics

Abstract

Clinical trials, whether industry, cooperative group sponsored, or investigator initiated, have an unacceptable rate of failure as a result of the inability to recruit sufficient numbers of patients. Even those trials that are completed often require time-consuming protocol amendments to achieve accrual goals. These inefficiencies in clinical trial research result in increasing costs and prolong the time needed to bring improved treatments to cancer clinical practice. TriNetX has developed a clinical research collaboration platform—deployed by a federated network of health care organizations (HCOs), pharmaceutical firms (Pharma), and contract research organizations (CROs)—to enable data-driven clinical research study design to reduce accrual failure and protocol amendment. Currently, the network extends to 55 HCOs and covers 84 million patients, mostly within the United States, but with a growing international presence. (Many of the HCOs in United States are Clinical and Translational Science Awardees and/or National Cancer Institute–designated cancer centers.) The TriNetX business model includes Pharma and the CROs as sponsors whose subscriptions financially support the network, including the software and hardware costs of the HCOs. Furthermore, as each HCO network member has their data harmonized with the TriNetX model upon joining, data sharing among them does not require any technical processes to establish connectivity. To date, on the basis of the data on the network, HCOs have been presented approximately 757 studies by Pharma and CROs, and four data-sharing subnetworks have been formed among member HCOs.

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Metadata

Authors
Topaloglu, U., & Palchuk, M. B.
Venue
JCO Clinical Cancer Informatics
Published
2018-12
Volume
2
Issue
2
Pages
1-10
ISSN
2473-4276 (ISSN-L)
OpenAlex
W2787483926
Cited by
349
References
2
FWCI
9.77
Type
journal article
Language
en
Open access
green

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CoChat. (2026). Citation check: Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations. https://app.cochat.ai/papers/10.1200/cci.17.00067
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Topaloglu, U., & Palchuk, M. B. (2018). Using a Federated Network of Real-World Data to Optimize Clinical Trials Operations. JCO Clinical Cancer Informatics. https://doi.org/10.1200/cci.17.00067

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Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).

Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.