Medical
Healthcare – Large Language Models Transforming Healthcare: An Overview
Table of Contents
AI and the Future
Artificial intelligence (AI) is reshaping industries worldwide, and healthcare is at the forefront of this digital transformation. Among the most significant breakthroughs are large language models (LLMs), with ChatGPT emerging as a powerful tool. A recent umbrella review by Iqbal et al., published in the Journal of Biomedical Science, explores how LLMs are redefining communication, data processing, patient interaction, and professional training in healthcare.
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Enhancing Patient Communication and Engagement
One of the core applications of ChatGPT in healthcare lies in bridging the communication gap between doctors and patients. Medical jargon can often be overwhelming, but AI-powered language models simplify complex information, making it easier for patients to understand their conditions and treatments. According to the study, this clarity improves patient comprehension, which directly contributes to better health outcomes and stronger patient engagement.
Supporting Clinicians With Faster Data Access
In the medical field, time is critical. ChatGPT can analyze vast amounts of medical literature and generate concise summaries, helping healthcare professionals stay informed without wading through lengthy publications. This rapid access to evidence-based insights enables more informed decision-making, ultimately improving the quality of patient care.
Ethical Challenges and Data Privacy in AI
As promising as AI is, the study underscores the importance of ethical frameworks and data privacy. With healthcare relying heavily on sensitive patient data, strong regulations are needed to protect confidentiality while ensuring safe AI integration. Researchers emphasize the need for policymakers to balance innovation with ethical responsibility.
Revolutionizing Medical Education
ChatGPT is also influencing the way future doctors learn. By simulating patient interactions and providing instant feedback on clinical scenarios, AI can make medical education more interactive and practical. This immersive approach helps students and trainees prepare more effectively for real-world healthcare challenges.
Telemedicine and Global Health care Access
The rise of telehealth during the COVID-19 pandemic revealed the potential of AI in expanding healthcare accessibility. ChatGPT enhances telemedicine by assisting with appointment scheduling, pre-consultation information, and patient queries. In under-resourced regions, AI-powered virtual assistants can democratize access to healthcare information, ensuring that patients receive essential guidance even when medical professionals are scarce.
Addressing Mental Health Needs Through AI
The study highlights how ChatGPT is being integrated into mental health services. While not a replacement for licensed professionals, AI chatbots can provide initial support, coping strategies, and therapeutic dialogues. This makes mental health resources more approachable, especially in regions where stigma prevents individuals from seeking traditional therapy.
The Road Ahead for AI in Health care
Iqbal et al.’s comprehensive review concludes that large language models like ChatGPT have the power to transform healthcare—from improving patient communication to supporting clinical decisions and advancing medical education. However, ongoing discussions around ethics, data security, and accountability are vital. The future of healthcare depends on striking the right balance between technological innovation and human-centered care.
Reference
Iqbal, U., Tanweer, A., Rahmanti, A.R. et al. Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis. J Biomed Sci 32, 45 (2025). DOI: 10.1186/s12929-025-01131-z