Prelude Dynamics Enhances Automated Lab Interface to Allow Direct File Upload and Inter-Server Communication

Prelude Dynamics, a global provider of web-based software systems for data collection, analysis and management, announced today the release of our upgraded automated lab result interface integrated into Prelude EDC, our industry-leading EDC and CTMS system.

Integrating labs into EDC can be somewhat of a challenge, but one that must be addressed in order to ensure accurate data is collected. Prelude Dynamics has addressed this challenge by developing a server-to-server interface that automatically post the lab results to the appropriate patient record without the need for the human middleman.

As soon as the labs are available and reviewed by the lab company, the technician saves the results to the lab’s computers as part of their regular workflow. Behind the scenes, our integrated lab interface automatically sends the results to Prelude Dynamics’ servers. This seamless server-to-server interaction posts the data to the appropriate site and subject and sends a notification email to the relevant investigator and other designated site personnel to let them know the lab results are posted and ready for review.

“Prelude is a technology company that is constantly seeking ways to streamline workflows to improve clinical data trials. It is natural to develop server-to-server interfaces eliminating steps that can inadvertently introduce error.” stated Prelude Dynamics’ CTO, Alicia Browner

Prelude Dynamics is an industry leader at providing innovative software-as-a-service technology solutions for clinical trials across the globe. The company’s flagship product, Prelude EDC, offers secure and configurable data capture and information awareness tools for the advancement of human and animal health, compliant with FDA/CVM and EMEA regulations. Prelude EDC facilitates real-time data collection, querying, cleaning, reporting, and analysis all based on the needs of the researchers. The company was established in 2003 with a goal to speed the study process, improve data quality, and facilitate easy data entry through automation.