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Updated: Jun 24, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Solidarity or Segregation? ChatGPT Health and US Health Care Disparities.

Andrew J Barnhart¹, Giuseppe Comerci¹, Barbara Prainsack²

¹Department of Social Ethics, University of Bonn, Am Hofgarten 8, Bonn, North Rhine-Westphalia, 53113, Germany.

Journal of Medical Internet Research

|June 22, 2026

Summary

ChatGPT Health, a new AI chatbot, may worsen health care disparities by masking structural issues. Policy interventions are needed to ensure AI complements human care and promotes equity.

Keywords:

AI artificial intelligence digital health policy health care inequity large language models solidarity

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Last Updated: Jun 24, 2026

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

A Novel Method for Involving Women of Color at High Risk for Preterm Birth in Research Priority Setting

Published on: January 12, 2018

Area of Science:

Health Informatics
Artificial Intelligence in Healthcare
Health Equity

Background:

The US health care system faces fragmentation, leading to issues like inaccessible insurance, medical deserts, and workforce shortages.
ChatGPT Health, an AI chatbot, aims to help users navigate these challenges by integrating personal medical and consumer health data.
Concerns exist that AI tools may exacerbate existing health care inequities.

Purpose of the Study:

To analyze the potential risks of ChatGPT Health and similar AI tools in exacerbating health care disparities.
To propose policy interventions to mitigate these risks and promote equitable access to care.

Main Methods:

Critical analysis of ChatGPT Health's potential impact on patient safety and health equity.
Identification of specific risks associated with AI-driven health tools.
Development of policy recommendations based on solidarity principles.

Main Results:

ChatGPT Health may widen the 'solidarity gap' by obscuring structural barriers to care.
Risks include legitimizing self-rationing/medication, inaccurate triage, communication erosion, and cognitive biases.
These risks disproportionately affect individuals with existing barriers to care.

Conclusions:

AI tools like ChatGPT Health risk deepening health inequities if not implemented carefully.
Solidarity-based policy interventions are crucial, focusing on upstream reforms for access and equity.
Downstream safeguards should integrate AI as a complement to human care within accountable infrastructures.