Research

Ongoing Projects

Clinical Evidence Generation from Electronic Health Records for Precision Medicine

The goal of this project is to develop a systematic approach to clinical evidence generation from EHRs under the hypothesis that domain expert provided insights, coupled with data quality assessment and newly developed 'target trial' causal inference models will allow for robust precision evidence to support clinical decision making.

Funding: NIH Grant - K01LM013088

Equity and Reproducibility of Electronic Health Record Based Research

The goal of this project is to better understand the reproducibility and equity of informatics methods developed to use electronic health records for translational research.

Aneurysm Research Repository

Co-PI: Christopher Roark, MD

The goal of this project is to develop an automated, self-updating, repository of all intracranial aneurysms treated at UCHealth in order to 1) validate existing risk factors, prediction algorithms, and clinical outcome findings and 2) identify new risk factors, prediction algorithms, and evaluate clinical outcomes

Funding: Data Science 2 Patient Value Pilot Grant

Collaborative & Completed Work

ACCESS Program

PI: Arnold Levinson, PhD

The National Cancer Institute launched the Cancer Center Cessation Initiative as part of the Cancer Moonshot program, to help cancer centers implement sustainable tobacco cessation treatment services. The University of Colorado Cancer Center (UCCC) developed the “All-patient cancer center expansion of supportive services for Tobacco Cessation Treatment” (ACCESS) program to develop and implement a comprehensive program that reaches all current tobacco using patients and offer tobacco cessation services.

PI: Kathleen Barnes, PhD

A major goal of the Consortium on Asthma among African-ancestry Populations in the Americas (CAAPA) has been to discover genes conferring risk to asthma in populations of African ancestry. Our goal in this phase of the consortium is to apply an integrative, multi-omics approach to understand the molecular architecture underlying asthma.