*Note: This is a temporary landing page for the CARE Innovation Center.*

The CARE Innovation Center at UCHealth offers a comprehensive suite of resources and services designed to revolutionize healthcare with leading industry and startup partners.

By combining the intellectual assets of the University of Colorado faculty and the clinical laboratory at UCHealth, the CARE Innovation Center is focused on developing, testing, implementing, and spinning out the next generation of digital technology and decision support science.

The CARE Innovation Center team includes physician informaticists, engineers and data scientists working with clinicians who have unparalleled expertise in clinical care delivery, process improvement, implementation science, clinical informatics, and predictive analytics: a world-class team at the forefront of improving the way healthcare is being delivered.

What makes UCHealth CARE Innovation Center attractive for partnerships?

  • Low barriers to prototype, test and fund new ideas
  • Digital health community boom
  • Facilitates rapid adoption
  • Product testing and rapid dissemination
  • World class living laboratory
  • Implementation science and informatics expertise

Colorado digital health ecosystem 

  • #1 Entrepreneurial Startup Week in North America
  • #1 State for Access to Data
  • #2 Most Entrepreneurial State
  • #9 Best State for Data Innovation
  • #9 Most Active State for Digital Health Deal Flow
  • $258M in Digital Health Funding

Source: PrimeHealth 2018 Colorado Health Innovation Ecosystem Report

UCHealth Applied Decision Science Lab

Using best practices, big data and artificial intelligence to lower costs and improve outcomes.

The UCHealth Applied Decision Science Lab (ADSL) was founded to ensure the best science is consistently used at the point of care by clinicians.

This is a first of its kind lab at a major academic medical center. We are collaborating with both internal and external innovators, as well as industry partners, to develop, test and apply more effective ways to use decision support science to improve care through reduced clinical variation.

  • It will reduce clinical variation, lower cost and improve outcomes.
  • It will enable value based care models for every health care stakeholder.
  • It will be the foundation for making big data actionable, including the effective use of machine learning and artificial intelligence in the provider’s clinical workflow.

“Making this data actionable in the real-world clinical workflow is incredibly challenging. We must focus on the point of care application of all this knowledge we generate as well as how artificial intelligence can effectively impact decision making. This must be done in ways clinicians will embrace and use or this knowledge is wasted.” – Dr. Richard Zane, UCHealth chief innovation officer and professor and chair of Emergency Medicine at the CU School of Medicine.

Why partner with us?

We have established the ADSL to provide a place to connect the capabilities and contributions of the most promising decision support startups with more established companies, such as life sciences and pharma, device manufacturers and other large technology providers.

We will better understand how these stakeholders can both contribute to decision support science, and to help our collaborators understand how the application of this new decision support science will transform their business’ existing and emerging business models.

“ADSL is focused on how to make decision support technology easily used by clinicians. Our Lab’s ability to quickly iterate and test these workflows and see if they actually improve clinician adoption of these standards is unique. We welcome the opportunity to collaborate with industry to realize the promise of these technologies.” – Dr. Jennifer Wiler, executive director, UCHealth CARE Innovation Center.

Decision support R&D ecosystem


Please let us know if you would like more information about collaborating or partnering with UCHealth.