Clinical data management companies support the process of data collection, validation, and preparation for statistical analysis for clinical trials.
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Efficient clinical trial data management can help in extracting high-quality, reliable, and statistically comprehensive data from clinical trials, as well as reduce the study duration and the cost of drug development to marketing.
Trial globalisation, complex trial designs, and a focus on patient-centric trials are the primary factors fuelling the growth and need for clinical trial data management services.
Discover the top clinical data management services and companies
Clinical Trials Arena has listed the top clinical data management service providers in clinical research based on its intel, insights, and decades-long experience in the sector. The list includes companies that supply various products and services, including, but not limited to:
- Medical coding setup and implementation
- Electronic data integration
- Electronic patient reported outcomes (ePRO) and electronic clinical outcome assessment (eCOA)
- Wearable sensor data flow
- Data management plan (DMP) and associated documents creation
- Data query generation and maintenance
- Statistical analysis software (SAS) listing development
- External data import and reconciliation
- Clean patient tracker and missing pages report
- Database locks and post locks archival, and
- Imaging services
The information contained within the download document is intended for clinical data executives, managers, reviewers and analysts, clinical data coordinators, clinicians, medical advisers, research scientists, submission reviewers, consultants, and any other individual involved in clinical data management.
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The document contains detailed information on the suppliers and their solutions, alongside contact details to aid your purchasing or hiring decisions.
Clinical data management technologies
Clinical data management companies have been revolutionised using tech tools and software solutions, enabling improved organisation and faster analysis of patients’ records.
Data management software, telemedicine, and cloud computing improve transparency and collaboration among medical professionals. Automation solutions supported by artificial intelligence (AI), machine learning and natural language processing (NLP) are being used to improve accuracy and rapid data analysis.
Technologies such as electronic data capture (EDC), e-clinical platforms, automated clinical research support for pharmaceutical companies, quality assurance management systems, and electronic regulatory management systems are being used by the companies for informative data exchange among the stakeholders, including providers, patients and payers. They also facilitate new economic models and help in ensuring compliance with internal protocols and other regulations.
