CORDIS Project
Funding breakdown and partner intelligence are Premium
Sign in and upgrade to Premium for EU contribution totals, consortium analytics, OpenAlex research context, and AI summaries. · 0 consortium intelligence fields visible of 1
Start free • Cancel anytime • 14-day refund guarantee
This research aims to leverage big data analytics to reduce errors in hospitals, enhancing patient safety and operational efficiency. Collaborating with experts, the project seeks to develop new methodologies for managing healthcare errors through data-driven insights.
Errors in hospitals pose serious threats to human lives and affect total costs.
Big data research is fast becoming a tool that not only analyzes patterns but can also provide the predictive likelihood of an event.
Big data may be a great opportunity to make data an engine to dramatically decrease error rates in hospital.
However, there is very little published research literature that tackles the challenges of using big data in organizations and explores the promise and opportunities for new the…
Partner organizations (coordinator is shown above), with normalized type and CORDIS activity type. Guests see up to 4 partners.
United States, Cambridge
Type: University / higher education
Activity type: Higher or Secondary Education Establishments
SME: No
Similar projects, consortium collaboration history, frequent partners, and OpenAlex research context.
Guests see up to 5 EuroSciVoc fields.
Guests see up to 5 topics.