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Related Experiment Video

Updated: May 24, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

Published on: May 31, 2019

Achieving Exemplary Attributes With AccrualNet.

Allison R Baer¹, Jane Hajovsky, Robin Zon

¹American Society of Clinical Oncology, Alexandria, VA; Colorado Cancer Research Program, Denver, CO; Michiana Hematology Oncology and Northern Indiana Cancer Research Consortium, South Bend, IN.

Journal of Oncology Practice

|March 2, 2012

Summary

AccrualNet offers resources to help clinical trial sites improve patient enrollment. This website provides valuable tools and information for sites aiming to increase trial participation.

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Last Updated: May 24, 2026

Integrating Computerized Linguistic and Social Network Analyses to Capture Addiction Recovery Capital in an Online Community

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Published on: May 31, 2019

Area of Science:

Clinical research operations
Healthcare management

Background:

Clinical trial accrual is critical for advancing medical research.
Many research sites face challenges in recruiting participants.

Purpose of the Study:

To introduce AccrualNet as a resource for improving clinical trial accrual.
To highlight the value of AccrualNet for research sites.

Main Methods:

AccrualNet aggregates resources for trial sites.
The website serves as a central hub for accrual-related information.

Main Results:

AccrualNet provides a compilation of helpful resources.
The website is designed for sites seeking to enhance trial accrual.

Conclusions:

AccrualNet is a valuable asset for research sites aiming to improve patient enrollment.
Utilizing AccrualNet can support the success of clinical trial recruitment efforts.