Underserved populations with missing race ethnicity data differ significantly from those with structured race/ethnicity documentation

ET Sholle, LC Pinheiro, P Adekkanattu… - Journal of the …, 2019 - academic.oup.com
Objective We aimed to address deficiencies in structured electronic health record (EHR)
data for race and ethnicity by identifying black and Hispanic patients from unstructured …

Reliability and validity of the Chinese version of the Patient Health Questionnaire-9 (C-PHQ-9) in patients with psoriasis: a cross-sectional study

X Ye, HL Shu, X Feng, D Xia, Z Wang, W Mi, B Yu… - BMJ open, 2020 - bmjopen.bmj.com
Objective To evaluate the clinical reliability and validity of the Chinese version of the Patient
Health Questionnaire-9 (C-PHQ-9) in patients with psoriasis. Design Cross-sectional study …

Efficiently identifying individuals at high risk for treatment resistance in major depressive disorder using electronic health records

I Lage, TH McCoy Jr, RH Perlis… - Journal of affective …, 2022 - Elsevier
Background With the emergence of evidence-based treatments for treatment-resistant
depression, strategies to identify individuals at greater risk for treatment resistance early in …

[HTML][HTML] Natural language processing of clinical notes to identify mental illness and substance use among people living with HIV: retrospective cohort study

JP Ridgway, A Uvin, J Schmitt, T Oliwa… - JMIR Medical …, 2021 - medinform.jmir.org
Background: Mental illness and substance use are prevalent among people living with HIV
and often lead to poor health outcomes. Electronic medical record (EMR) data are …

[HTML][HTML] Can antiepileptic efficacy and epilepsy variables be studied from electronic health records? A review of current approaches

BM Decker, CE Hill, SN Baldassano, P Khankhanian - Seizure, 2021 - Elsevier
As automated data extraction and natural language processing (NLP) are rapidly evolving,
improving healthcare delivery by harnessing large data is garnering great interest …

An architecture for research computing in health to support clinical and translational investigators with electronic patient data

TR Campion Jr, ET Sholle, J Pathak… - Journal of the …, 2022 - academic.oup.com
Objective Obtaining electronic patient data, especially from electronic health record (EHR)
systems, for clinical and translational research is difficult. Multiple research informatics …

Developing an individualized treatment rule for Veterans with major depressive disorder using electronic health records

NH Zainal, RM Bossarte, SM Gildea, I Hwang… - Molecular …, 2024 - nature.com
Efforts to develop an individualized treatment rule (ITR) to optimize major depressive
disorder (MDD) treatment with antidepressant medication (ADM), psychotherapy, or …

Technology in the assessment, treatment, and management of depression

CS Bader, M Skurla, IV Vahia - Harvard Review of Psychiatry, 2020 - journals.lww.com
Mental Disorders (DSM-5), with its nine criterion domains of depression:(1) depressed
mood,(2) loss of interest or pleasure,(3) appetite/weight disturbance,(4) sleep …

Automated extraction of tumor staging and diagnosis information from surgical pathology reports

S Abedian, ET Sholle, PM Adekkanattu… - JCO clinical cancer …, 2021 - ascopubs.org
PURPOSE Typically stored as unstructured notes, surgical pathology reports contain data
elements valuable to cancer research that require labor-intensive manual extraction …

Stress and depression are associated with life's simple 7 among african americans with hypertension: Findings from the jackson heart study

AT Langford, M Butler, JN Booth III, P Jin… - American journal of …, 2021 - academic.oup.com
Abstract Background The American Heart Association created the Life's Simple 7 (LS7)
metrics to promote cardiovascular health (CVH) by achieving optimal levels of blood …