Study designs are rapidly transforming. UBC has comprehensive solutions to collect critical evidence beyond the walls of the traditional study setting, remotely or in the patient’s home. Our wide array of decentralized study capabilities:
Our scientific & epidemiology consulting team will assess your protocol, research objectives, schedule of assessments and make recommendations around the most impactful approaches to support a decentralized or virtual model for data collection and engagement. Whether a virtual, decentralized or pragmatic design, UBC will make specific recommendations on approaches that maintain data integrity while executing on project-specific evidence generation goals.
UBC leverages a wide range of real world data through our proprietary Real World Data & Analytics software to:
These sophisticated tools, built by the expert UBC Epidemiology team, are designed for use by non-programmers and yield insights in minutes that would otherwise require complex statistical programming.
We also incorporate digital recruitment strategies such as advertising, social media, patient website and video.
Through a variety of comprehensive real world evidence software, UBC evaluates what data needs to be collected, where and from what systems, as well as how the data needs to be structured to answer the questions of interest. UBC implements and executes these purpose-built solutions based on your protocol or product specific requirements.
Data can be collected from many different sources and modalities including:
The types of data collected include:
UBC Pathways Mosaic is an end-to-end data architecture solution, which provides comprehensive data ingestion, aggregation and warehousing for your project allowing you to:
A series of visual and interactive dashboards to quickly gain valuable insights across a wide array of data elements and data from disparate sources.
The platform facilitates customized analysis and reporting and is specifically built to integrate disparate data sources, as well as support multi-project programs, proactively identify data trends, and manage risks.
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