Riding the Data Privacy Wave: How Will You Stay Afloat?

As rare diseases are so rare, patients are often misdiagnosed for many years, or never correctly diagnosed. Electronic health records hold much important information that can be used to correctly diagnose and treat these patients, but identification of phenotypic sets is hard to extract from reams of data.

If your organization is in a highly-regulated industry or relies on data for competitive advantage data governance is undoubtedly a top priority. Whether you’re focused on “defensive” data governance (supporting regulatory compliance and risk management) or “offensive” data governance (extracting the maximum value from your data assets, and minimizing the cost of bad data), data quality plays a critical role in ensuring success.

How important are data and analytics to a banker’s bottom-line objectives – growing deposits, loans and the customer base? In the latest Digital Banking Report, AI for Improved Customer Experience, almost 90 percent of respondents indicated that advanced analytics is extremely or very important to capabilities like cross-channel contextual communications, proactive advice and audience targeting.

Roche, as a leading biopharmaceutical company and member of the Pistoia Alliance, has a diverse and distributed ecosystem of platforms to manage reference data standards used at different parts of the organization. These diverse reference data standards include ontologies and vocabularies to capture specifics of the research environment and also to describe how clinical trial data are collected, tabulated, analyzed, and finally submitted to regulatory authorities. In the context of the EDIS program, Roche has bridged these parts to improve reverse translation from studies into research and also embraced FAIR to emphasize machine-actionability and data-driven processes.