May 27, 2024
About LabKey
For researchers, clinical data management and reporting has historically included manual curation and compilation of datasets from disparate data warehouses. In today’s data-rich environment, manual processing and integration is becoming more and more of a bottleneck. In order to keep up with the increasing amount of data collected from clinical research, clinicians and statisticians alike need software tools that will centralize their data and help them quickly recognize errors. This makes adopting software solutions like clinical data management systems (CDMS) critical to the integrity and longevity of research in order to experience these benefits:
Contents: Data Integrity | Data Integration and Capture | Reporting and Collaboration | Choosing a CDMS | LabKey CDMS
Having an accurate representation of clinical data helps transform discoveries and understanding into patient care and treatment. Centrally-housing data in a compliant environment that enforces data standardization can help clinicians maintain excellent data integrity and provide an authoritative view of their data landscape.
Bringing together data from disparate sources into a single system can help clinical research stay on track and on time. Collaborative monitoring of data quality by clinicians, statisticians, and scientists enables quick identification of erroneous data and ensures a reliable, integrated data landscape for comprehensive data analysis.
Effective clinical data management and reporting requires the seamless integration and alignment of data from various sources with tools like data validation, ontology vocabulary enforcement, and automated data capture methods like ETL. This should include direct integrations with Electronic Data Capturing systems like REDCap.
A key component of effective clinical data management is the ability to share reports and data with collaborators to improve research, innovation, and ultimately patient care. Maintaining compliance and having the ability to quickly share data and reports is an important topic to tackle in clinical research where patient safety and care is the top priority.
A clinical data management system can help researchers organize their data management approach. When selecting a CDMS for a clinical study or trial, it is important to consider the following factors:
LabKey CDMS provides essential tools for clinical data management to overcome these, and other key clinical research challenges.
LabKey CDMS helps maintain data integrity by providing:
LabKey CDMS helps facilitate comprehensive data integration by providing:
CDMS improves reporting and collaboration by providing:
With the right tools for clinical data management, research teams can eliminate data integration bottle necks and curate reliable datasets for analysis. Explore our example Longitudinal Study or view our product page to see how LabKey CDMS can help your team overcome these, and other common clinical research challenges.
Read more about the features highlighted above on the LabKey Support Portal: