Description
The purpose of this study is to use electronic healthcare data to understand the management of major depressive disorder in a large healthcare system, focusing on the diagnosis of depression, with the intention of devising a workflow solution to integrate Patient Reported Data on depression into the care process.
Principal Investigator
Related Studies
The Impact of Smoking, Comorbidities, and Race/Ethnicity on COVID-19 Infection and Disease Severity
Investigator: Jiang Li, Ph.D., MPH
COVID-19 Universal Registry for Vital Evaluations (CURVE) Project
Investigator: Jiang Li, Ph.D., MPH
Statin Use and Risk Prediction of Atherosclerotic Cardiovascular Disease in Minority Subgroups (SURPASS) Study
Investigators: Jiang Li, Ph.D., MPH, External PI, Principal Investigator
Pilot Project in Applied Artificial Intelligence: Using Machine Learning to Improve the Safety of Hospital Care
Investigator: Sylvia Sudat, PhD
Quantifying 2D and 3D MRI Imaging For Improving MS Diagnosis, Treatment, And Clinical Care
Investigators: Xiaowei (Sherry) Yan, PhD, MS, J.B. Jones, PhD, MBA
Improving Cancer Care
Investigator: Su-Ying Liang, Ph.D.
Using Mobile Technology and Analytics to Track Outcomes in MS Patients
Investigators: J.B. Jones, PhD, MBA, Xiaowei (Sherry) Yan, PhD, MS
Randomized study of EHR Defaults and Using social Comparison feedback to effectively decrease opioid prescription pill burden (REDUCE).
Investigator: Xiaowei (Sherry) Yan, PhD, MS
Interpretable Deep Learning Model for Longitudinal Electronic Health Record and Applications to Heart Failure Prediction
Investigators: External PI, Principal Investigator, Xiaowei (Sherry) Yan, PhD, MS