Hadi Kharrazi

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Associate Professor

Johns Hopkins University

United States

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About

Hadi Kharrazi is an Associate Professor at Johns Hopkins University in the United States. His research focuses on public health equity, healthcare utilization, and the application of artificial intelligence in diagnostic accuracy. Recent articles include studies on the impact of post-COVID clinics, suicide risk screening, and assessing racial bias in healthcare predictive models. Dr. Kharrazi is dedicated to advancing health outcomes through data quality improvement and understanding the social determinants of health.

Recent Grants

Grant: Open

Johns Hopkins Training Program in Biomedical Informatics and Data Science

Open Date: 2022-07-01

Close Date: 2027-06-30

Grant: Close

Advancing Maryland's Statewide Suicide Data Warehouse to Improve Individual and Population-level Mortality Prediction and Prevention

Open Date: 2020-09-15

Close Date: 2024-06-30

Grant: Close

Developing and Assessing the Validity of Claims-based Indicators of Frailty & Functional Disabilities and Testing their Use in EHRs and linked EHR-claims

Open Date: 2020-09-01

Close Date: 2022-09-01

Grant: Close

Assessing Disparities in Occurrence and Outcomes of Type 2 Diabetes ADEs Using Claims and EHRs

Open Date: 2020-09-01

Close Date: 2022-09-01

Grant: Close

Addressing Suicide Research Gaps: Understanding Mortality Outcomes in the Mid-Atlantic Region

Open Date: 2018-09-06

Close Date: 2021-09-05

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UNITED STATES

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Anas Belouali

Johns Hopkins University

UNITED STATES

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Michael Rosen

Associate Professor

Johns Hopkins University School of Medicine

UNITED STATES

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howard burkom

Principal Professional Staff Mathematician

Johns Hopkins University Applied Physics Laboratory

UNITED STATES

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Hadi Kharrazi

Research Interests

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About

Recent Grants

Articles (28)

Suicide Risk Screening in Children and Adolescents with Autism Spectrum Disorder Presenting to the Emergency Department

A framework to integrate equity in public health emergency response dashboards: Dashboard instrument to review equity (DIRE)

Assessing the Impact of Post-COVID Clinics on 6-Month Health Care Utilization for Patients With Long COVID: A Single-Center Experience

Enhancing Diagnostic Accuracy of Lung Nodules in Chest Computed Tomography Using Artificial Intelligence: Retrospective Analysis

Identifying and characterizing suicide decedent subtypes using deep embedded clustering

Measuring the Impact of Data Quality and Computable Phenotypes on Potential Racial Disparities in Predicting Healthcare Utilization Among Type 2 Diabetes Populations

Assessing racial bias in healthcare predictive models: Practical lessons from an empirical evaluation of 30-day hospital readmission models

Effectiveness of telehealth versus in-person care during the COVID-19 pandemic: a systematic review

Efficiency, accuracy, and health professional's perspectives regarding artificial intelligence in radiology practice: A scoping review

Evaluating Algorithmic Bias in 30-Day Hospital Readmission Models: Retrospective Analysis

Evaluating artificial intelligence’s role in lung nodule diagnostics: A survey of radiologists in two pilot tertiary hospitals in China

Improving the Identification of Diabetic Retinopathy and Related Conditions in the Electronic Health Record Using Natural Language Processing Methods

Ownership and Interoperability Challenges of Alzheimer Monoclonal Antibody Registries

Potential harms resulting from patient–clinician real-time clinical encounters using video-based telehealth: A making healthcare safer rapid evidence review

Suicide Death Prediction Using the Maryland Suicide Data Warehouse: A Sensitivity Analysis

Assessing the Effect of Electronic Health Record Data Quality on Identifying Patients With Type 2 Diabetes: Cross-Sectional Study

Assessing the impact of social determinants of health on diabetes severity and management

Trends and Patterns of Social History Data Collection Within an Electronic Health Record

Prevalence and Correlates of Opioid-Involved Suicides in Maryland

Comparing and validating medication complexity from insurance claims against electronic health records.

Comparing and validating medication complexity from insurance claims against electronic health records

Improving the Prediction of Persistent High Health Care Utilizers: Retrospective Analysis Using Ensemble Methodology.

Development and assessment of a natural language processing model to identify residential instability in electronic health records' unstructured data: a comparison of 3 integrated healthcare delivery systems.

Ineligibility for and Refusal to Participate in Randomized Controlled Trials That Have Studied Impact on Suicide-Related Outcomes in the United States: A Meta-Analysis.

Ineligibility for and Refusal to Participate in Randomized Controlled Trials That Have Studied Impact on Suicide-Related Outcomes in the United States: A Meta-Analysis

Examining Diurnal Differences in Multidisciplinary Care Teams at a Pediatric Trauma Center Using Electronic Health Record Data: Social Network Analysis.

Assessment of structured data elements for social risk factors.

Assessment of Structured Data Elements for Social Risk Factors

Collaborators (11)

Karen Robinson

Elizabeth Shenkman

Holly Wilcox

Paul Nestadt

You Wu

John Campo

Bill Tierney

Jeremy Harper

Anas Belouali

Michael Rosen

howard burkom

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