Data Science to Patient Value (D2V) consists of multiple cores and programs which accelerate rigorous cutting edge data science methods and applications to address pressing health problems, advance the science of person-centered high value health care across the care continuum by integrating different stakeholder perspectives including the UCHealth System as a learning and innovations partner.
Patient & Systems Value-
To focus on the science of value from multiple perspectives across the macro health care system.
Data & Informatics- To
create and sustain investigators access to high-value data assets that
are discoverable, accessible, and reliable to facilitate research in
data sciences and discovery by providing ‘bleeding edge’ informatics
expertise and tools.
Data Science Program- To be a multidisciplinary, collaborative analytic and computational research environment that catalyzes research resulting in innovative applications of complex analytic approaches, and development of novel analytic and computational approaches, methods, and tools.
To become the most trusted resource on how best to engage diverse stakeholders in the work of research, implementation and dissemination in health care.
Training & Education- To train and mentor the next generation of scientists who can advance and integrate the methods of person-centered, high value data science and health systems innovation.
Dissemination & Implementation-
To disseminate and showcase the work of D2V investigators and increase potential collaborative opportunities with external stakeholders that ultimately lead to increased scientific impact and sustainability of D2V.