To ensure compliance with proper data management procedures, every clinical trial and study should have a Data Management Plan (DMP). A DMP is a written document that outlines the strategies for data management and gathering over the course of a clinical trial.
From the moment clinical trial data is recorded to the moment it is reported, we work in collaboration with you to ensure accurate, illuminating data management.
No matter where you are, all of your clinical data needs to be consistent.
From the time clinical data is recorded until it is reported, we deliver reliable clinical data. We can guarantee you that your data is of the finest quality available anywhere in the world because we use standard global platforms and standardized procedures.
Your data, as well as ours, never sleeps.
You can take advantage of a round-the-clock operation due to our worldwide infrastructure, workflow, and informatics platform. You will gain from the interchangeability of our personnel around the world because
They are all skilled in and familiar with the same procedures.
Better clinical data management and analytical insights result from improved communication
Complex, international clinical trials involve many moving pieces. We have a specialized team that is in charge of organizing both internal and external communication. This makes subject matter specialists accessible with ease and consistently produces work of higher quality.
Clinical data management, analysis, and integration from beginning to end
Having the internal resources to manage all the data a clinical study produces can be challenging. CliniMed LifeSciences can help you handle clinical data at every stage, from the moment it is first gathered until its storage. Our personnel have all received the same training in these procedures, which guarantees the flawless integration of your data.
Statistical Advice
In order to ensure that your study is as effective as possible, we assist you in defining the proper study components.
Biometrics
Efficiency gains from advanced programming techniques can be seen in a single study or over several studies:
- Plans for statistical analysis
- Integrated summary for effectiveness and safety
- Tables, figures and listings
- Creation of randomization codes
- Reports from statistical and clinical studies
- Support for publications and abstracts
Clinical Data Analysis Services
- Pharmacoeconomic, QoL analysis
- Mid-study assessments with interim analyses