Clinical Data Management
Clinical Data Management is the strategy of gathering, cleaning, coordination and organization of subject data in consistence with authoritative rules. It is an essential stage in clinical research, which prompts time of high bore, trustworthy, and quantifiably stable data from clinical trials, this has been energized by the usage of programming applications that keep up an audit trail and give basic recognizing evidence and assurance of data incongruities. CDM also supports the immediate, organization and examination of concentrates over the scope of clinical research. An authoritative goal of CDM is to ensure that data support conclusions drawn from examine. Achieving this target guarantees general prosperity and trust in promoted therapeutics.
- Track 1-1 Applications of Big Data
- Track 2-2 Data types and data processing techniques
- Track 3-3 Use of Artificial intelligence
- Track 4-4 Integrated technology platforms