ChatGPT’s potential to create a hierarchical healthcare system

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A new form of artificial intelligence (AI) technology called ChatGPT could lead to a two-tier healthcare system, according to Niam Yaraghi, an associate professor of business technology at the University of Miami and a senior fellow at the Brookings Institution. In a recent article for Health Affairs, Yaraghi warned that proprietary large language models created by healthcare providers could lead to a fragmented healthcare system. For example, if One Medical developed its own model, competitors might stop sharing healthcare data with them and opt instead to create their own models.

Yaraghi explained that this situation could lead to a two-tiered system, with patients with better insurance receiving in-person care and those with lower socioeconomic status being relegated to AI chatbots. He compared this potential outcome to the educational disparities highlighted during the pandemic, when private schools with more resources could maintain in-person schooling while students at public schools had to settle for virtual learning.

To avoid creating a two-tier healthcare system, Yaraghi suggested that the government update its reimbursement policies for telemedicine and AI-enabled healthcare and ensure the free flow of healthcare data sharing, along with increasing financial incentives for doing so. If healthcare providers adopt a proprietary approach to AI technology, it could lead to a negative impact on healthcare accessibility and affordability for patients with lower incomes and fewer resources. Therefore, policymakers need to take proactive steps to ensure that AI technology is used in a way that is fair and accessible to all patients.

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Frequently Asked Questions (FAQs) Related to the Above News

What is ChatGPT?

ChatGPT is a new form of artificial intelligence technology that uses large language models to facilitate communication and conversation between humans and machines.

What could ChatGPT lead to in healthcare?

ChatGPT could potentially lead to a two-tier healthcare system, with patients with better insurance receiving in-person care and those with lower socioeconomic status being relegated to AI chatbots.

Who has warned about the potential outcome of ChatGPT in healthcare?

Niam Yaraghi, an associate professor of business technology at the University of Miami and a senior fellow at the Brookings Institution, has warned about the potential two-tier healthcare system that could result from proprietary large language models created by healthcare providers.

What has been compared to the potential two-tier healthcare system?

The potential two-tier healthcare system has been compared to the educational disparities highlighted during the pandemic, where private schools with more resources could maintain in-person schooling while students at public schools had to settle for virtual learning.

How can a two-tier healthcare system be avoided with ChatGPT?

The government can update its reimbursement policies for telemedicine and AI-enabled healthcare, ensure the free flow of healthcare data sharing, and increase financial incentives for doing so to avoid a two-tier healthcare system with ChatGPT.

What is the potential negative impact of a proprietary approach to AI technology in healthcare?

A proprietary approach to AI technology in healthcare could lead to a negative impact on healthcare accessibility and affordability for patients with lower incomes and fewer resources.

What is the suggested action for policymakers regarding ChatGPT in healthcare?

Policymakers need to take proactive steps to ensure that AI technology is used in a way that is fair and accessible to all patients, including updating reimbursement policies, ensuring data sharing, and providing financial incentives for healthcare providers.

Please note that the FAQs provided on this page are based on the news article published. While we strive to provide accurate and up-to-date information, it is always recommended to consult relevant authorities or professionals before making any decisions or taking action based on the FAQs or the news article.

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