How has the introduction of data management systems affected the drug development process in recent years?
R Arun Kumar. Data management has primarily improved information flow across the drug discovery and development processes and has provided managements with improved visibility into the status of a project, as well as enabled researchers with efficient decision-making. The drivers to manage research information from biology, chemistry and pre-clinical development are to ensure clear understanding of project development objectives, facilitate a project-team based approach towards drug discovery by providing access to annotated knowledge sources and to help in monitoring progress towards R&D milestones. Facilitation of targeted analysis of data to improve understanding of the disease model and the interaction of candidate compounds is now possible. Data management thus enables taking a more holistic approach to decision-making in drug development, leading to better research outcomes, improved research productivity and reduced cost of innovation. What challenges has the Infosys Scientific
