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Targeted Next-generation Sequencing and Bioinformatics Pipeline to Evaluate Genetic Determinants of Constitutional Disease

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Published on: April 4, 2018

OnWARD: ontology-driven web-based framework for multi-center clinical studies.

Van-Anh Tran¹, Nathan Johnson², Susan Redline³

¹Department of Electrical Engineering and Computer Science, Case Western Reserve University, 10900 Euclid Ave, Cleveland, OH 44106, USA.

Journal of Biomedical Informatics

|September 20, 2011

Summary

This summary is machine-generated.

This study introduces OnWARD, a web-based system for efficient clinical trial data collection. It streamlines data management for multi-center studies, improving efficiency and flexibility.

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Area of Science:

Clinical Informatics
Biomedical Data Management
Health Services Research

Background:

Many clinical trials still rely on paper forms for data collection, leading to inefficiencies.
Web-based data collection systems offer significant potential for improvement, particularly in large-scale, multi-center trials.

Purpose of the Study:

To present OnWARD, an ontology-driven, secure, and rapidly deployable web-based framework for clinical research data capture.
To demonstrate the framework's flexibility and user-centered design for efficient study customization.

Main Methods:

Developed using agile methodology for rapid, iterative improvements.
Implemented an ontology-driven approach for flexible data structure.
Designed a dynamic form generator for user-centered customization without deep technical expertise.

Main Results:

OnWARD was successfully deployed for a Phase II multi-center clinical trial within three months.
The system managed 23 clinical report forms and over 1500 data points.
Preliminary evaluations indicated OnWARD exceeded investigator expectations for efficiency, flexibility, and ease of setup.

Conclusions:

OnWARD provides an efficient, flexible, and rapidly deployable solution for web-based data collection in large-scale, multi-center clinical trials.
The framework's adaptability supports diverse data types, including genetic and proteomic data.
OnWARD demonstrates a significant advancement over traditional paper-based data collection methods.