GPT-4.5, the latest iteration of OpenAI's large language models, has the potential to significantly enhance patient management in healthcare through several key applications:
1. Enhanced Medical Documentation and Charting: GPT-4.5 can assist healthcare professionals by automating and improving the accuracy of medical documentation. This includes generating detailed patient histories, diagnoses, and treatment plans more efficiently, allowing doctors to focus on patient care rather than paperwork[1].
2. Clinical Decision Support: The model can serve as a valuable tool for clinical decision-making by providing healthcare professionals with a second opinion. It can analyze vast amounts of medical literature and patient data to suggest potential diagnoses and treatment options, thereby enhancing the quality of care[1].
3. AI-Powered Patient Communication and Education: GPT-4.5 can transform discharge letters and other medical communications into patient-centered documents. This involves simplifying complex medical jargon and making information more accessible to patients, which can improve patient understanding and adherence to treatment plans[2]. Additionally, it can facilitate real-time communication, providing patients with timely information about their treatment options and answering medication queries[4].
4. Role in Radiology, Research, and Drug Discovery: GPT-4.5 can aid in analyzing medical images, summarizing research findings, and identifying potential drug candidates. Its ability to process large datasets quickly can accelerate research and development in these areas, potentially leading to new treatments and therapies[1][6].
5. Reducing Burnout and Improving Efficiency: By automating routine tasks and providing support in complex decision-making processes, GPT-4.5 can help reduce the workload of healthcare professionals. This can lead to reduced burnout and improved efficiency in healthcare delivery, allowing for more personalized care and better patient outcomes[1].
6. Expanding Access to Care: GPT-4.5 can assist in developing virtual assistants and chatbots that provide basic medical advice and triage services. This can expand access to healthcare services, especially in underserved areas where access to medical professionals may be limited[4].
However, there are also challenges and limitations to consider:
- Ethical Concerns: Issues such as data privacy, bias in AI algorithms, and regulatory challenges need to be addressed to ensure that GPT-4.5 is used ethically and safely in healthcare settings[1][8].
- Accuracy and Reliability: While GPT-4.5 can process vast amounts of data, it is not perfect and may omit critical information or provide inaccurate advice if not properly reviewed by healthcare professionals[2][8].
- Dependence on Quality of Input: The model's performance is heavily dependent on the quality of the data it is trained on and the prompts used to generate outputs. High-quality input is crucial for reliable results[2].
In summary, GPT-4.5 has the potential to revolutionize patient management by enhancing efficiency, improving communication, and supporting clinical decision-making. However, its integration into healthcare requires careful consideration of ethical and accuracy concerns.
Citations:
[1] https://www.youtube.com/watch?v=KZSzY5e7acQ
[2] https://www.jmir.org/2025/1/e67143
[3] https://cdn.openai.com/gpt-4-5-system-card.pdf
[4] https://www.mdpi.com/2673-2688/5/4/126
[5] https://topmostads.com/openai-release-gpt-4-5/
[6] https://pmc.ncbi.nlm.nih.gov/articles/PMC10713213/
[7] https://www.cnbc.com/2025/02/27/openai-launching-gpt-4point5-general-purpose-large-language-model.html
[8] https://pmc.ncbi.nlm.nih.gov/articles/PMC10048148/