In the last several years, there have been significant advancements in healthcare thanks to artificial intelligence. One significant turning point was the release of ChatGPT in November 2022, which altered how AI technologies are incorporated into our daily lives, including the healthcare sector. The merits and cons of implementing ChatGPT in healthcare are discussed in this article.
Here are the benefits and drawbacks of implementing ChatGPT in healthcare, which has revolutionized the sector:
Pros
One key benefit of ChatGPT is its ability to advance AI-assisted medical education. It achieved an accuracy rate of nearly 50% on various US Medical Licensing Examination (USMLE) tests and topped 60% in other analyses. With this performance, the model approaches the passing range, setting a new bar for AI models.
Another excellent use case for ChatGPT is its capacity to create official research articles with eloquent language and a welcoming tone. It summarizes texts and documents remarkably well, saving medical professionals time by highlighting important information like symptoms, treatments, test results, or imaging reports.
It is possible to swiftly and accurately translate research articles between languages using ChatGPT’s multilingual capabilities, which support more than 50 languages and encourages cross-cultural cooperation and information sharing.
ChatGPT streamlines the record-keeping process by automatically creating patient summaries and medical histories. The model can extract useful information from patient records, such as symptoms, diagnoses, treatments, and pertinent data because healthcare providers can dictate their notes.
Cons
One of ChatGPT’s biggest problems is how poorly it performs regarding context or nuance, which are essential for providing safe and efficient healthcare. Because the model’s performance depends on the data it was trained on, any bias in the dataset will lead to the model generating unjust suggestions for underrepresented patients.
Additionally, depending on the quality and make-up of the training dataset, the model output could be erroneous for medical writing, leading to serious legal issues, including litigation. In addition, the model was only tested with data through 2021. As a result, it needs to be made aware of recent medical advancements.
Models like ChatGPT raise challenges about healthcare privacy. Private medical data leaks and illegal access are both possible. Another drawback of ChatGPT is that it might be used in phishing scams. Hackers may obtain patient information or even adopt a doctor’s persona.
In Conclusion
As a result, ChatGPT offers both advantages and disadvantages. These disadvantages include a lack of context and nuance, potential bias, privacy issues, and the potential to provide erroneous medical information. Significant advantages of ChatGPT include improving medical education, generating research articles, and streamlining record-keeping. Therefore, carefully examining these flaws and ethical considerations is necessary before implementing ChatGPT or other related AI models in healthcare to balance effectiveness, patient safety, and privacy.
