C-PASS-PC: A Cloud-driven Prototype of Multi-Center Proactive Surveillance System for Prostate Cancer
Haibin Wang

TL;DR
This paper introduces C-PASS-PC, a cloud-based prototype for multi-center prostate cancer surveillance, demonstrating cloud platforms' suitability for efficient, scalable clinical trial data management.
Contribution
It presents a novel cloud-driven prototype system for prostate cancer surveillance, showcasing rapid deployment and web-based access for multi-center clinical trials.
Findings
Cloud platform (GAE) is suitable for multi-center trials.
Prototype enables fast deployment and easy access.
Supports large-scale data collection and monitoring.
Abstract
Currently there are many clinical trials using paper case report forms as the primary data collection tool. Cloud Computing platforms provide big potential for increasing efficiency through a web-based data collection interface, especially for large-scale multi-center trials. Traditionally, clinical and biological data for multi-center trials are stored in one dedicated, centralized database system running at a data coordinating center (DCC). This paper presents C-PASS-PC, a cloud-driven prototype of multi-center proactive surveillance system for prostate cancer. The prototype is developed in PHP, JQuery and CSS with an Oracle backend in a local Web server and database server and deployed on Google App Engine (GAE) and Google Cloud SQL-MySQL. The deploying process is fast and easy to follow. The C-PASS-PC prototype can be accessed through an SSL-enabled web browser. Our approach proves…
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Taxonomy
TopicsScientific Computing and Data Management · Cloud Computing and Resource Management · Data Quality and Management
