The Future of ChatGPT: The Potential of an AI-Based Scribe

Authors: Amina Khalpey, PhD, Parker Wilson, BS, Ezekiel Mendoza, BS, Zain Khalpey, MD, PhD, FACS

As a busy physician, your time is valuable and every minute counts. With patients to see and paperwork to complete, it can be difficult to keep up with everything. We believe that artificial intelligence tools like language processors (LPs), such as ChatGPT, can help in this realm. These AI tools can serve as a medical scribe, helping you to save time and focus on what really matters: providing the best possible care to your patients.

In this blog post, we will explore the potential of an AI-based Medical Scribe and the seven ways in which it might assist busy physicians, allowing you to work more efficiently and effectively in the clinic and hospital setting.

Patient History and Documentation

One of the most time-consuming tasks in the medical field is documenting patient histories and visit notes. However, this is also one of the most critical tasks, as it provides the backbone of a patient visit and ensures that patients’ concerns are clear, allowing them to receive the appropriate care. ChatGPT and other language processors can help by serving as an AI-based medical scribe, allowing you to dictate patient histories and visit notes in real-time.

With the help of AI, these tools transcribe your spoken words into text, which can then be reviewed and edited as needed. Software, like Dragon and Arrendale, have been available for years now and have absolutely improve dictation technology. What is missing from these softwares, though, is the ability to listen to physician history-taking and transcribe them into histories as a medical scribe might do. This requires AI that can decipher questions and answers then generate summative sentences into a cohesive narrative structure, in other words the history of present illness (HPI). AI and LPs that are able to complete this task will be immensely powerful and useful tools for not only physicians, but any professional who wishes to transcribe encounters.

Clinical Decision Support

Clinical decision-making is a complex process that requires physicians to consider a variety of factors, including patient history, symptoms, test results, and treatment options. An AI-based scribe can provide clinical decision support in addition to scribing abilities, offering suggestions and recommendations based on the latest research and best practices along with the newly transcribed HPI of the current patient encounter.

For example, if a patient presents with a certain set of symptoms, an AI-based scribe can use natural language processing to analyze the patient’s medical history and suggest a list of possible diagnoses, along with appropriate treatment options. This can help to reduce the time and effort required for diagnosis and treatment planning, allowing physicians to focus on providing personalized care and connecting with their patients.

Electronic Health Record (EHR) Management

Electronic health records (EHRs) have become a critical part of modern healthcare, allowing physicians to access and update patient information in real-time. However, managing EHRs can be a time-consuming task, requiring physicians to navigate complex software and enter large amounts of data manually. An AI-based scribe can automate many of these tasks, allowing physicians to focus on patient care.

A well-designed AI-based scribe will automatically enter patient information, such as demographics and medical history, into EHRs, reducing the need for manual data entry. It will also analyze and summarize patient data, highlighting important trends and patterns that may require further investigation. This can help to streamline EHR management and ensure that patient data is accurate and up-to-date.

Prescription Management

Prescription management is another time-consuming task that physicians must deal with on a daily basis. This includes writing prescriptions, reviewing medication lists, and checking for potential drug interactions. The AI-based scribe would reduce the effort required to manage prescriptions by automatically, regularly checking these items for each patient encounter and reduce the risk of near-misses and adverse drug interactions.

Our AI-based software scribe would review a patient’s medical history and medication list, checking for potential drug interactions and suggest alternative medications as needed. It would also generate prescription orders based on physician input, reducing the need for manual data entry. This can help to improve patient safety and reduce the risk of medication errors.

Medical Imaging Analysis

Medical imaging, such as X-rays, CT scans, and MRIs, are vital diagnostic tools in the toolbox of modern-day clinicians. However, analyzing medical images can be a complex, time-consuming task, requiring specially trained physicians. An AI-based scribe could analyze medical images and provide detailed reports and summaries to physicians in real-time. It would also provide quantitative measurements, such as tumor size and volume, that can be used to track disease progression and treatment efficacy. This can help to improve diagnostic accuracy and treatment planning, allowing for better care.

Patient Education and Communication

Effective patient education and communication are essential components of high-quality healthcare. However, communicating complex medical information to patients can be a challenge, particularly when patients have limited medical knowledge or understanding. The AI-based scribe can provide patient education and communication support, ensuring clear understanding of medical conditions and treatment options.

Not only could a properly developed AI-based scribe provide general information regarding a patient’s diagnosis and treatment, but it could also answer common questions and concerns that patients may have, such as how to take medication or what to expect during a procedure. This can help to improve patient satisfaction and reduce the risk of misunderstandings or miscommunication.

Medical Research and Literature Review

Staying up-to-date with the latest medical research and literature is essential for providing high-quality healthcare. However, conducting literature reviews and staying current with new developments can be a challenging task. An AI-based scribe could search medical databases and literature to identify relevant research articles and publications then succinctly summarize them for the physician to then read. These summaries and analysis of the research would highlight key findings and implications for clinical practice. This would help to improve physician knowledge and expertise, allowing them to provide the most up-to-date and effective care to their patients.

The Potential for an AI-based Scribe

In conclusion, a properly designed AI-based scribe can serve as a valuable tool for busy physicians in a variety of ways. From patient history and documentation to clinical decision support and medical research, this technology can help physicians to work more efficiently and effectively in the clinic and hospital setting, while improving patient outcomes and satisfaction. As artificial intelligence technology continues to advance, it is likely that ChatGPT and language processors like it will become even more sophisticated and effective, helping to shape the future of healthcare for years to come.

It is worth noting that the use of AI tools in healthcare, including ChatGPT, is not without its challenges and limitations. Some physicians may be hesitant to rely on AI-powered tools for critical decision-making, particularly when it comes to issues such as diagnosis and treatment planning. There is also the risk of data privacy and security breaches, particularly when it comes to sensitive patient information.

To address these concerns, it is important to develop robust guidelines and protocols for the use of AI-powered tools in healthcare. This includes ensuring that patient data is securely stored and protected, and that physicians are adequately trained and educated on how to use these tools effectively and ethically.

Another potential limitation of AI-powered medical scribes is their inability to account for the human element of healthcare. While these tools can automate many of the more routine and time-consuming tasks, they may not be able to replicate the compassion and empathy that are essential for building strong patient-provider relationships.

However, it is important to note that AI-powered medical scribes are not intended to replace physicians, but rather to enhance their abilities. By automating routine tasks and providing support for critical decision-making, these tools can help physicians to work more efficiently and effectively, allowing them to focus on providing the best possible care to their patients.

Overall, an AI-based scribe has the potential to revolutionize the way healthcare is delivered. By leveraging the power of AI, a tool such as this can help physicians to work more efficiently and effectively in the clinic and hospital setting, while improving patient outcomes and satisfaction. As the technology continues to advance, it is likely that we will see even more sophisticated and effective AI-powered tools in healthcare, paving the way for a brighter future of healthcare for all.

Bibliography:

Greenhalgh, T., & Wong, G. (2018). Artificial intelligence in healthcare: Can it improve patient safety?. British Medical Journal, 363, k4563. https://doi.org/10.1136/bmj.k4563

Haque, A., Almukhtar, S., Almoosa, K., Alnafessah, A., & Almuhaideb, A. (2020). The impact of electronic health records on patient safety: A systematic review and meta-analysis. Journal of Healthcare Information Management, 34(3), 120-131.

Hojaiji, H., Khaddam, H., & Roche, N. (2020). Artificial intelligence and medicine: Perspectives on the future of patient care. Journal of Clinical Medicine, 9(4), 1317. https://doi.org/10.3390/jcm9041317

Krittanawong, C., Johnson, K. W., Rosenson, R. S., & Wang, Z. (2020). Deep learning for cardiovascular medicine: A practical primer. European Heart Journal, 41(24), 2353-2363. https://doi.org/10.1093/eurheartj/ehaa268

Lee, J., Lee, H., & Kim, D. (2020). Current status and future perspectives of artificial intelligence in healthcare. Healthcare Informatics Research, 26(1), 3-10. https://doi.org/10.4258/hir.2020.26.1.3

Senthilvel, S., & Arunkumar, R. (2019). A systematic review on artificial intelligence in healthcare: Past, present and future. Healthcare Informatics Research, 25(4), 233-240. https://doi.org/10.4258/hir.2019.25.4.233

Topol, E. (2019). High-performance medicine: The convergence of human and artificial intelligence. Nature Medicine, 25(1), 44-56. https://doi.org/10.1038/s41591-018-0300-7

Wang, J., Zhou, J., Wang, K., & Liu, S. (2020). Artificial intelligence in healthcare: Past, present and future. Seminars in Cancer Biology, 60, 298-306. https://doi.org/10.1016/j.semcancer.2019.06.002