How ChatGPT Utilizes Multimedia Reports to Aid Patients in Comprehending Imaging Results

**Radiology Reports Made Easier for Patients Through Video and AI Technology**

When the information-blocking provisions of the 21st Century Cures Act went into effect in 2021, providers were required to make test results, including radiology reports, accessible to patients at the same time they were available to referring physicians. To ensure that patients can understand these results, researchers are exploring the use of video radiology reports, AI algorithms, and ChatGPT.

With patients now having access to their radiology reports before speaking with their physicians, there has been concern that patients may misinterpret the findings. However, according to Michael Recht, MD, a specialist in musculoskeletal radiology at NYU Langone Health, this hasn’t been an issue. While referring physicians were initially nervous about patients seeing the reports before them, Recht explains that the perspective of radiologists has remained the same since the shift to early access to images. It is the referring physicians’ perspectives that have changed.

To address this concern, the radiology department at NYU Langone Health has been developing new ways to share imaging studies and radiology reports. One of these approaches is the use of video radiology reports, which focus on one or two major findings of the exam. These video reports, along with traditional written reports, aim to make the reports more patient-friendly.

The team at NYU Langone Health is also testing a combination of video radiology reports and ChatGPT, a large-language model. By feeding the impression of the images through ChatGPT, the researchers are able to translate the findings into patient-friendly language. This saves time for the radiologists and ensures that the information is presented clearly to the patients.

However, there are some warnings when it comes to these technologies. While large-language models like ChatGPT and GPT-4 can successfully translate radiology reports into plain language, there is always a risk of errors. Patients may put their reports into ChatGPT themselves, but there is no guarantee that the model will provide the correct answer. Recht emphasizes the importance of radiologists authenticating each report to ensure accuracy.

Despite these challenges, Recht believes that the use of AI will become the norm for a significant number of radiology reports. However, he notes that video reports will stick to simpler cases, as more complex cases require a detailed written report.

An initial study conducted in 2021 found that the majority of radiologists were not significantly impacted by open access to imaging results. However, the state of California addressed one of the concerns related to open access by passing a law (SB 1419) that allows physicians time to interpret potentially life-changing test results before releasing them to patients electronically. This law provides additional protections for sensitive data and clarifies that clinical notes are part of the patient’s medical record.

In conclusion, technologies like video radiology reports and ChatGPT are making radiology reports more accessible and understandable for patients. While there are risks associated with using AI, the benefits of these technologies can greatly improve patient care and understanding. As the field of radiology continues to evolve, it is important for radiologists to embrace new technologies and ensure that patients receive accurate and easily understandable reports.

**Editor’s Notes**

Radiology reports play a crucial role in patient care, providing important information for both physicians and patients. The use of video radiology reports and AI technology has the potential to revolutionize how these reports are shared and understood. By creating patient-friendly reports and using large-language models like ChatGPT, radiologists can make the information more accessible and ensure that patients receive the correct information.

It is important, however, for radiologists to authenticate each report and verify the accuracy of AI-generated translations. While these technologies can greatly enhance patient education, there is always a risk of errors. Radiologists must continue to prioritize accuracy and ensure that patients receive the correct information.

Overall, the development of video radiology reports and the use of AI in the field of radiology is an exciting advancement. These technologies have the potential to improve patient care and understanding, making radiology reports more accessible and meaningful. As the field continues to evolve, radiologists should embrace these new tools and continue to provide the best care possible for their patients.

Check out GPT News Room for more exciting advancements in AI and technology.

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