The latest version of eData ManagementTM by eResearch TechnologyTM, a leader in fully-validated, GCP- and FDA-compliant clinical data management software, which provides the user interface for the Oracle database.
	Data entry using the standard dual entry system, electronic or facsimile data transfer.
	Flexible data entry capacity and powerful hardware systems for simultaneous handling of large volumes of data.
	Data which is verified, coded and validated using protocol-specific, computerized logic and consistency checks.
	Data query resolution which is initiated immediately upon receipt of the first Case Report Forms (CRFs).
	Medical Coding using MedDRA, WHO-DRL, or client-specific dictionaries.
	Full audit trail and 21 CFR Part 11-compliance built-in.
	Rigorous daily database back-up system.
	Data listings and tables which are generated and formatted according to your specifications at pre-determined intervals during the clinical study.
	Enrollment and study status reports which can be provided to you at a regular frequency.
	Interim/final databases which can be provided in a variety of formats specific to your requirements.

Our meticulous data management team guarantees the completeness, validity and integrity of the final results.

Client Testimonial: To [data management] - "Thank you for putting this together so quickly. Your help and excellent attention to detail was very helpful." - June 22, 2005

New in 2007! Electronic Data Capture (eDC)

Having recently acquired the license for the electronic data capture module of the eResearch Management system, Integrated Research Inc. now provides this eDC alternative to paper-based CRFs.

While paper-based CRFs still have a place in the clinical trial process, the eDC solution can be useful in a variety of applications: from early phase studies where the results are critical for the next drug development stages to large Phase IV studies where the timely management of large volumes of subject data is important. Access to "real-time" data can also serve to identify any data issues earlier in the process and can save on monitoring time spent at the study site.