As the global healthcare industry, valued over 10 trillion dollars in 2023, increasingly leverages generative AI, it aims to address chronic issues like misdiagnosis, which affects 12 million Americans annually.

The implementation of ChatGPT could lead to significant cost reductions in U.S. healthcare, projected to reach 6.8 trillion dollars by 2030, by minimizing diagnostic errors and expediting treatment plans.

By 2030, AI could evolve into a primary diagnostic tool, potentially alleviating physician burnout, which affects 42 percent of U.S. doctors according to a 2023 report.

The AI in healthcare market is projected to reach 188 billion dollars by 2030, growing at a CAGR of 37 percent, presenting lucrative business opportunities for companies integrating AI tools like ChatGPT.

Collaborations with healthcare providers and academic institutions can aid in the real-world validation of AI tools, creating competitive advantages for companies.

However, interoperability challenges exist in integrating ChatGPT with electronic health record systems, requiring standardized protocols like FHIR for efficient data exchange.

On July 5, 2025, Greg Brockman of OpenAI announced that ChatGPT is being utilized to tackle longstanding medical challenges, showcasing its potential in clinical problem-solving and healthcare innovation.

The integration of ChatGPT in medical workflows can enhance diagnostic accuracy, reduce time-to-treatment, and support healthcare organizations in complex case analyses.

ChatGPT's large language model architecture enables it to cross-reference symptoms with rare conditions quickly, offering capabilities beyond human researchers.

Its ability to process vast datasets of medical literature and patient data in real-time offers a promising method for clinicians to improve decision-making and reduce diagnostic errors.

Regulatory hurdles, such as the need for FDA approval for AI as a medical device, are significant challenges that must be navigated as the technology develops.

Moreover, challenges such as data privacy under HIPAA and GDPR regulations must be addressed by businesses, necessitating robust encryption and anonymization techniques.