The current mindset that all data, automated or otherwise, is proprietary and its exchange could prove competitively disadvantageous is a hindrance. Apparently, some data is proprietary but more data should be shared to mitigate the complexity and rising costs of clinical trials, prompting sponsors to run more efficient clinical trials with faster enrollments. These outcomes will lead to enhanced medical research and development, bringing new therapies and treatments to the market faster. An intelligent Clinical Data Management System (CDMS) shall prove beneficial for scientists who look forward to interacting with the data, rather than just collect, organize and integrate them.
A data system is required that allows free flow of data, connects patients, monitors, researchers, data managers, CROs, and sponsors, ensuring best clinical decision making in real-time. It will also lead to quantitative analysis of data and data-driven decision-making. It will automated information exchange and ensure elevating clinical trials to new levels. Standardization and automation of clinical data will make it more easily accessible and usable, and shareable. Automation in Clinical Data Management shall push the boundaries of what can be achieved in the clinical research industry. A new and advanced approach to data collection, management, integration, and analysis shall enable data exchange, prompting researchers, sponsors, and medical professionals to make fast evidenced-based decisions. Data sharing has made it possible to quickly determine the safety and efficacy of new drugs and treatments for different patient populations.