Maintenance Notice

Due to necessary scheduled maintenance, the JMIR Publications website will be unavailable from Wednesday, July 01, 2020 at 8:00 PM to 10:00 PM EST. We apologize in advance for any inconvenience this may cause you.

Who will be affected?

Accepted for/Published in: JMIR Medical Informatics

Date Submitted: Apr 8, 2019
Date Accepted: Jul 22, 2019

The final, peer-reviewed published version of this preprint can be found here:

A Good Practice–Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study

Shin Y, Kim KW, Lee J, Sung YS, Ahn S, Koo JH, Choi CG, Kim HS, Park SH

A Good Practice–Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study

JMIR Med Inform 2019;7(3):e14310

DOI: 10.2196/14310

PMID: 31471962

PMCID: 6743263

Development of Good Practice compliant Clinical Trial Imaging Management System for multi-center clinical trials

  • Yongbin Shin; 
  • Kyung Won Kim; 
  • Junghyun Lee; 
  • Yu Sub Sung; 
  • Suah Ahn; 
  • Ja Hwan Koo; 
  • Chang Gyu Choi; 
  • Ho Sung Kim; 
  • Seong Ho Park

ABSTRACT

Background:

In recent clinical trials, using medical imaging has been rapidly increased due to the image endpoints, and the current trials have conducted as multicenter trial over the world. The larger the study, and the more complex the imaging endpoints, the more sponsors risk an overwhelming imaging data and complex work flow, requiring a dedicated information technology (IT) system to manage imaging data. Indeed, to develop standardized IT system for medical imaging with regulations is another critical point in order to conduct as a high quality and reliable clinical trial.

Objective:

Asan Image Matrics (AIM), as an academic imaging core lab in Asan Medical Center (AMC) in Korea, aim to introduce our clinical trial imaging management system (CTIMS), is called AiCRO sys tem, and discuss a variety of its perspectives including development, modules, regulations, and validation process in this study.

Methods:

This study describes three different processes to design and utilize the AiCRO system as an all-in-one system for medical imaging, which are functional and regulatory requirements, development of AiCRO system, and computer system validation. All processes primarily complied to FDA 21 CFR Part 11 for imaging in the clinical trial and Good Automated Manufacturing Practice (GAMP®) 5 Guide for Compliant GxP Computerized Systems, as well as other regulatory agencies and international societies for the computer system.

Results:

Our AiCRO system was developed based on a two-layer design, the AiCRO server system and the AiCRO client system, using application programming interface (API) for communication between two systems. It had also a diversity of effective modules to manage and analyze images, including de-identification, image transfer and storage, data security, image quality control, electronic CRF record and audit trail. These modules were created by user requirements of clinical trial, following both international and domestic compliances of the clinical trials. Furthermore, the AiCRO system was validated by internal V-model with software validation process (Installation Qualification, Operation Qualification, and Performance Qualification) regularly and by external global quality assurance company. The AiCRO system has been successfully implemented into more than 20 pharmaceutical multi-center clinical trials since 2017 in both domestic and international sites/hospitals.

Conclusions:

The CTIMS, AiCRO system, was developed for clinical trial imaging, following required clinical trial guidelines and computer system regulations to manage medical image data from multi sites. The strength of using the AiCRO system could be argued that every required computer system validation and regulations including data format in the clinical trial imaging is standardized to provides more effective performance and more reliable outcomes in the all-in-one system.


 Citation

Please cite as:

Shin Y, Kim KW, Lee J, Sung YS, Ahn S, Koo JH, Choi CG, Kim HS, Park SH

A Good Practice–Compliant Clinical Trial Imaging Management System for Multicenter Clinical Trials: Development and Validation Study

JMIR Med Inform 2019;7(3):e14310

DOI: 10.2196/14310

PMID: 31471962

PMCID: 6743263

Download PDF


Request queued. Please wait while the file is being generated. It may take some time.

© The authors. All rights reserved. This is a privileged document currently under peer-review/community review (or an accepted/rejected manuscript). Authors have provided JMIR Publications with an exclusive license to publish this preprint on it's website for review and ahead-of-print citation purposes only. While the final peer-reviewed paper may be licensed under a cc-by license on publication, at this stage authors and publisher expressively prohibit redistribution of this draft paper other than for review purposes.