Researchers in the Department of Biomedical Informatics (DBMI) at the University of Colorado School of Medicine spearheaded an innovative method to synthesize and compile accurate information about COVID-19 since the onset of the global pandemic in 2020.
Toni Lapp | 
January 12, 2023
Research COVID-19 Faculty Public Health
Overflowing intensive care units. A shortage of personal protective equipment. A scramble for hospital beds and ventilators. Health care workers pushed to the brink. The COVID-19 pandemic laid bare many well-documented vulnerabilities of health care systems. The need for accurate and early clinical assessment of severity related to COVID-19 was vital to developing crisis standards of care to meet the growing pandemic. These standards of care are informed by mortality prediction models, which assess the risk of imminent death in patients.
Toni Lapp | September 22, 2022
Nature
May 26, 2023
CU Department of Biomedical Informatics researchers helped explore ancestry-related differences in the genetic architecture of whole-blood gene expression using whole-genome and RNA sequencing data from 2,733 African Americans, Puerto Ricans and Mexican Americans.
PLOS ONE
May 25, 2023
The Phenopacket Schema developed by DBMI researchers is flexible and can represent clinical data for any kind of human disease including rare disease, complex disease, and cancer. It also allows consortia or databases to apply additional constraints to ensure uniform data collection for specific goals.
HealthTech
May 25, 2023
CT Lin, MD, a secondary professor in the Department of Biomedical Informatics, is among influencers and health IT leaders paving the way toward health equity and transforming healthcare’s approach to data.
JAMA Network
May 03, 2023
CT Lin, a secondary faculty member for the Department of Biomedical Informatics at the CU School of Medicine, looks at the 21st Century Cures Act Final Rule that mandates the immediate electronic availability of test results to patients, as concerns remain about unintended effects of releasing abnormal test results to patients.
