Data Science for Pharma EU 2016 is a conference that provides knowledge on how to improve integration, access and advance learning from real world data and how the right data strategy and informatics partnerships can deliver smarter clinical and commercial decisions.
Topics
- Data Access and Governance: Democratise internal access of data assets to improve decision making and ensure constant data flow to provide varied measures of thinking
- Data culture: Create a transformational shift from the big data paradigm to see value held within data analytics by re-educating your organisation
- Data Standardisation: Build gold standard, transparent data sets that allow for faster, better and simpler data access and analysis
- Data Integration: Utilise big data tools to link data across varying data assets for improved insights
- Predictive Data Analytics: Harness predictive modelling to identify and accelerate potential new candidate molecules for drug discovery
- Real World Data: Enable the generation of RWE with real time patient monitoring to get the right medicines, to the right patients, at the right doses, at the right time
- Data Collaboration: Engage all stakeholders to collaborate and successfully identify value from data analytics
- Data Privacy and Regulation: Understand the impact of moving from privacy directives to privacy regulations on the process of data science in pharma
- True Value from Data: Create value in drug development through to healthcare with the use of data to improve patient outcomes and lower cost
