Utility of automated data transfer for cancer clinical trials and considerations for implementation

This study demonstrates efficiencies in clinical trial conduct provided by EHR-to-EDC technology and supports growing adoption among sites and sponsors, while highlighting how variability in data standards and interoperability across EHR systems pose practical challenges to widespread implementation.

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Publication Details

Journal
ESMO Real World Data and Digital Oncology
Published
2025-02-07
DOI
https://doi.org/10.1016/j.esmorw.2025.100112
Citations
2
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
8.34
Controls
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article

Utility of automated data transfer for cancer clinical trials and considerations for implementation

Ivy Altomare, Andrew Shelley, M. Raphael Pfeffer, Paul M. Salcuni et al.
2 citations
ESMO Real World Data and Digital Oncology
Scientific Computing and Data Management
8.34
article

Utility of automated data transfer for cancer clinical trials and considerations for implementation

Ivy Altomare, Andrew Shelley, M. Raphael Pfeffer, Paul M. Salcuni, M. Deneris
article en
2 citations

Abstract

This study demonstrates efficiencies in clinical trial conduct provided by EHR-to-EDC technology and supports growing adoption among sites and sponsors, while highlighting how variability in data standards and interoperability across EHR systems pose practical challenges to widespread implementation.

ESMO Real World Data and Digital OncologyVol. 7
Flatiron Health (United States) (US)
Openalex Percentile: Top 4%
Scientific Computing and Data Management
8.34
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