Data Management Services

Precision Oncology offers our sponsors expert data management support by effectively leveraging the power of EDC systems.  We appreciate the importance of compiling and reporting quality data and we possess the expertise to support of all our sponsors’ data management needs.  Our highly trained Data Managers have significant experience in launching databases and managing data in multiple EDC systems including Medidata RAVE, Oracle InForm and MedNet and “home-grown” sponsor systems.

Precision Oncology’s Data Management services include:

• Real-time access to data via EDC system

• Study build timeline management

• Drug accountability reporting

• Remote data review and monitoring

• Dose escalation challenge support

Developing a clinical data collection strategy for oncology studies within tight timelines can be extremely challenging. Some of the most common challenges facing successful clinical data collection in oncology include:

• Managing the Study Build Timeline

• Meaningful Real Time Data Access

• Response Tracking

• Local Laboratory Data Collection and Drug Accountability Reporting

• Remote Data Review and Monitoring and Interim Data Snapshots

• Dose Escalation Challenges, Special Studies Blood Sample Tracking

• CTC AE Coding

• Alerts

Precision Oncology understands the importance of compiling and reporting quality data, and also possesses the expertise to traverse the complexity of an oncology trial. This is an absolute must for the success of oncology trials. 

Our data management and biostatistics team member’s work together to review, manage, and clean the data. Some of the tools we use to provide our sponsors with a quality database include:

• Patient Profiles - to allow the team a clear and effective all-encompassing view of the patient’s data

• Review priority lab parameters - by patient (within the profile), as well as across patients, provides a quick quantitative overview of the data

• Additional edits outside of the standard system, to ensure all fields and data relationships are reviewed