Care Disparities

Framework to Address Algorithmic Bias in Healthcare AI Models

January 3, 2024 - A panel of experts convened by the Agency for Healthcare Research and Quality (AHRQ) and the National Institute on Minority Health and Health Disparities (NIMHD) to address the issue of algorithmic bias in healthcare recently identified five key principles that stakeholders must prioritize across each stage of an algorithm’s life...

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NYC Health Dept. Expands Work to Address Racism in Clinical Algorithms

by Shania Kennedy

The Coalition to End Racism in Clinical Algorithms (CERCA), a New York City Health Department-led effort to investigate the use of race-based medical algorithms, is expanding its work to include...

Can Digital Twin Neighborhoods Help Tackle Health Disparities?

by Shania Kennedy

Addressing health disparities and improving patient outcomes are key to achieving health equity, but tackling these issues requires health systems to understand their population’s needs and develop strategies to meet...

Large Language Model Diagnoses, Triages Without Introducing Biases

by Shania Kennedy

Researchers from University of California, Los Angeles (UCLA) Health have demonstrated that Generative Pre-trained Transformer 4 (GPT-4) can diagnose and triage various health conditions on par with...

Risk-Based Lung Cancer Screening May Reduce Racial, Ethnic Disparities

by Shania Kennedy

Researchers have demonstrated that a risk-based lung cancer screening model may reduce racial and ethnic disparities and improve screening efficiency compared to national lung cancer screening...

Clinical Decision Support Tools Did Not Reduce CVD Disparities

by Mark Melchionna

According to a new study, using clinical decision support (CDS) tools in various care quality metrics, such as aspirin use and blood pressure control, did not reduce healthcare disparities among...

Deterioration Index Model Modestly Predicts Patient Outcomes

by Mark Melchionna

A new study found that although the use of the Deterioration Index (DTI) within the hospital setting provided modest results, it inconsistently s handled various demographic groups. Researchers...

Private Grant Funding Supports Using AI to Address Disparities

by Mark Melchionna

After receiving funding from Scott and Debby Rechler, Northwell Health and the Feinstein Institutes are using artificial intelligence (AI) to create the Center for Health Outcomes under the Institute...

NIH Funding Aims to Improve Precision Medicine and Reduce Disparities 

by Mark Melchionna

After receiving $54 million in funding from the National Institutes of Health (NIH), the Scripps Research Translational Institute aimed to continue to improving precision medicine and limiting health...

Omitting Race, Ethnicity from Risk Models May Lead to Health Disparities

by Shania Kennedy

Researchers have shown that omitting race and ethnicity as predictors in colorectal cancer recurrence risk prediction models may be associated with racial and ethnic biases that contribute to health...

Potential Racial Bias Found in Type 2 Diabetes Risk Prediction Models

by Shania Kennedy

Artificial intelligence (AI) algorithms used to screen for and predict type 2 diabetes may be racially biased, which could perpetuate health disparities, according to a study published last week in...

Missing Data May Contribute to Health Disparities in Children with Lupus

by Shania Kennedy

Researchers have found that missing data on socioeconomic, demographic, and clinical factors may negatively impact health equity for pediatric patients with childhood-onset systemic lupus erythematosus...

AI In Medical Imaging May Amplify Biases, Inequities

by Shania Kennedy

Researchers from the University of Maryland School of Medicine (UMSOM) found that most crowd-sourced datasets used in medical imaging data science competitions to develop artificial intelligence (AI)...

AI Can Help Improve Clinical Attendance Among Minority Patients

by Mark Melchionna

Led by MetroHealth and Case Western Reserve University (CWRU) researchers and published in the Journal of General Internal Medicine, new research indicates a high level of success associated with using...

WHO Launches Global Health Inequality, Population Health Data Repository

by Shania Kennedy

The World Health Organization (WHO) launched its Health Inequality Data Repository (HIDR) last week, the largest global collection of data on population health and inequalities to date, to help track...

Hospital Initiative to Combat Chronic Kidney Disease Disparities

by Shania Kennedy

Phoenix, Arizona-based Dignity Health St. Joseph’s Hospital and Medical Center launched a new initiative this week to address the use of race-based algorithms in the early diagnosis of chronic...

Using Social Determinants of Health Data in Machine Learning Reduced Bias

by Mark Melchionna

Published in Circulation: Heart Failure, a recent study conducted by Northwestern Medicine researchers found that adding social determinants of health (SDOH) data into machine learning models led to...

NYC Health Dept. Leverages Health Equity Framework to Combat Disparities

by Shania Kennedy

The New York City Health Department is partnering with The Healing Acknowledgment, Redress, and Closure (ARC), a campaign of healthcare professionals and other stakeholders seeking the elimination of...

University Gets Funding For AI-Driven Projects to Mitigate Health Disparities

by Shania Kennedy

The University of Miami announced that it has received grants for multiple projects aimed at addressing health disparities through the use of artificial intelligence (AI) and machine learning (ML) as...

NIH Grant to Fund AI-Driven Chronic Disease Disparity Project

by Shania Kennedy

Florida Atlantic University’s (FAU) Schmidt College of Medicine, the Caridad Center, Inc., and the University of Miami Miller School of Medicine have received a $500,000 grant from the National...

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