The vision of D2V is to make the University of Colorado
School of Medicine a national and global leader in the development,
implementation and dissemination of person-centered, high-value health care by
advancing innovations in data and health systems science to improve the lives
of patients, families, and communities.
this goal, D2V will:
- Accelerate rigorous cutting-edge data science methods and applications to
address pressing health problems
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.
Train the next generation of scientists who can advance
and integrate the methods of data science and health systems innovation.
Achieving high-value health care has become the principal
focus of health reform in the United States. As Medicare and Medicaid
transition to a value-based reimbursement system, fundamental challenges
remain. A lack of rigorous care-delivery research and inattention to
patient-centered preferences and outcomes are impeding substantial progress
toward a value-based reimbursement system.
At the same time, new opportunities to generate knowledge from data
collected as part of routine clinical care under “real world” conditions along
with methods to link data from a variety of sources, such as patient-generated
data, require novel methods for deriving valid and robust insights.
D2V’s approach will be to conduct research from multiple
stakeholder perspectives, including patients, providers, health systems, payers
and policymakers and to promote collaboration between researchers and clinical
operations in designing and conducting care delivery interventions. By working
with the health system as a real-world innovations laboratory, stakeholders
will contribute to the design, conduct and translation of research into
practice and policy.
D2V will also focus on transforming the wealth of
available electronic biomedical and health data into useable information that
has the potential to dramatically advance our understanding of human disease
and to improve human health and well-being thru data-driven discovery,
personalized care and prevention strategies. D2V investigators will
develop and apply innovative data science methods to accelerate rigorous,
cutting-edge research using “big data” and informatics to address pressing
health problems important to patients, families, and health care stakeholders.
Across the University of Colorado Anschutz Medical
Campus, there is currently significant interest and expertise in the science of
high value health care and data science. D2V provides a venue for investigators to collaborate across the
medical and data science domains on the University of Colorado Anschutz Medical
D2V will leverage existing expertise and
resources, such as the Colorado Clinical Translational Sciences Institute (CCTSI),
the Colorado Center for Personalized Medicine (CCPM), Health Data Compass (HDC)
and existing training programs to build a world-class research collaboratory.
The activities and innovations of D2V are also key future requirements for the success of the CCTSI,
CBIPM, and the value anticipated from HDC and the competitiveness of
CU-Anschutz in the health Big Data era.
Areas of discovery
the factors that influence patient decision-making by studying cognitive and
affective processes which influence care preferences and perceptions of value,
and develop strategies to empower patients to exert their preferences in health
the application of patient-reported health information to improve care
delivery, and innovative care delivery interventions that incorporate patient
health information and care preferences in ways that foster real-world
adoption, sustainability, and dissemination.
the tools of management science, organizational theory, and economics to
research the impact of: a) management practices on health system performance,
and b) how changes in reimbursement and policy alter health care delivery,
patient behaviors, and outcomes.
- Improve data accessibility and curation;
informatics, analytical and computational expertise.
- Develop innovative and transparent data
governance and advance the dialogue regarding public and patient engagement in
- Develop novel data analytic and visualization
methods that generate robust and credible new evidence from disparate and
heterogeneous data sources.
- Develop, implement, and promote core principles
of data sharing, reproducible research, and transparent reporting of data,
methods, and findings.
- Train the next generation of scientists who can
advance and integrate the methods of data science and health systems
Jean Kutner, MD, MSPH, Professor of Medicine and
Associate Dean for Clinical Affairs, University of Colorado School of Medicine
and Chief Medical Officer, University of Colorado Hospital
Michael Ho, MD, PhD, Professor of Medicine, University of
Colorado School of Medicine and Co-Director of the Center for Innovation at
Denver and Seattle VA Medical Centers
Lisa Schilling, MD, MSPH, Professor of Medicine, Medical
Director of the Office of Value Based Performance
Michael G. Kahn, MD, PhD, Professor of Pediatrics;
Translational Informatics Core Director, Colorado Clinical and Translational
Sciences Institute; and Director Health Data Compass/Center for Personalized