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Innovation Blog
Read the full blog![Older Black couple reviews paperwork](/sites/default/files/styles/image_1_1/public/2024-04/GettyImages-1301117815_older_Black_couple_paperwork%20copy.jpg?itok=BHCGIvid)
Many public benefits go unclaimed by emergency care patients
Researchers led by CHTI's Austin Kilaru found that emergency department (ED) patients with public or no health insurance were often eligible for unclaimed state or federal benefits, and that many patients were interested in getting help from a hospital-based team to apply for their missing benefits. Upcoming work will test strategies to connect ED patients with such benefits.
![Shivan Mehta](/sites/default/files/styles/image_1_1/public/2023-02/Mehta_Shivan.jpg?itok=d7AoPdm-)
Shivan Mehta named Distinguished Investigator by the Association for Clinical and Translational Science
Shivan Mehta was recognized for his work leading research, implementation, and broad application of clinical solutions in areas such as cancer screening, vaccine outreach, and hypertension management.
![Graph showing I-usage differences among Black and white users](/sites/default/files/styles/image_1_1/public/2024-03/Depression_race_social.jpg?itok=x1IZtEoX)
Machine learning models fail to predict depression in Black social media users
A study by CHTI's Sharath Guntuku and colleagues found that computational models trained to detect depression from social media posts failed to predict depression among Black users. The researchers identified race-based differences in the expression of depression and underscored the need to understand such differences before these AI methods are used in clinical practice.