The role of medical scribes has evolved significantly over the past 30 years, transitioning from traditional documentation assistants to pivotal contributors in modern healthcare. Initially, scribes were primarily used to alleviate the administrative burden on physicians, allowing them to focus more on patient care. Over the years, the integration of advanced technologies has revolutionized their role, with artificial intelligence (AI) now playing a crucial part in medical documentation. This article explores the history and role of medical scribes, the benefits they bring to medical practice, and the transformative impact of AI on medical documentation.
Medical scribes have been a part of the healthcare system for decades, with their roles and responsibilities evolving in response to the increasing demands of medical documentation. In the early 1990s, scribes were employed primarily in emergency departments to assist with the burgeoning paperwork associated with patient care. Over the next two decades, their use expanded to various medical specialties, driven by the introduction of electronic health records (EHRs) and the growing administrative workload on healthcare providers (Tierney et al., 2024). The role of scribes continued to adapt, integrating more technology and taking on complex tasks to support physicians better and improve workflow efficiency.
In contemporary medical practice, scribes play a crucial role in ensuring accurate and efficient documentation of patient encounters. They enable physicians to focus more on direct patient care by handling time-consuming administrative tasks. Scribes document patient visits in real time, manage EHRs, and ensure that all relevant patient information is recorded accurately. Scribe involvement only enhances the quality of documentation but also helps in maintaining comprehensive medical records. The presence of scribes can significantly reduce the cognitive load on physicians, allowing them to dedicate more time to patient interactions and clinical decision-making, ultimately leading to improved patient outcomes.
A prospective study in outpatient oncology clinics demonstrated a 12.1% decrease in average patient visit duration and improved physician satisfaction and quality of life [Gao et al., 2019]. Similarly, a randomized controlled trial found that scribes significantly improved physician satisfaction, chart quality, and charting efficiency without decreasing patient satisfaction ([Gidwani et al., 2017] (https://dx.doi.org/10.1370/afm.2122)). The presence of scribes has been shown to increase productivity, measured by relative value units (RVUs), and decrease overtime usage in clinical settings ([Friedson, 2017](https://dx.doi.org/10.1162/ajhe_a_00103)).
Medical literature highlights several benefits of employing scribes in healthcare settings. Scribes have been shown to enhance physician productivity by reducing the time spent on documentation, thereby increasing the number of patients seen per day. Studies have reported improvements in physician satisfaction and reductions in burnout rates due to the decreased administrative burden (Itauma & Itauma, 2024). Moreover, the improvement in accuracy and thoroughness of medical documentation leads to better patient care and more precise billing processes. The use of scribes has also been associated with enhanced patient satisfaction, as physicians are able to engage more fully during consultations, providing a higher quality of care.
The advent of AI in medical documentation represents a significant leap forward in healthcare technology. AI-powered solutions, such as ambient AI scribes, have emerged as powerful tools to further reduce the documentation burden on healthcare providers. For instance, systems like DAX™ leverage voice recognition and natural language processing (NLP) to automatically generate clinical documentation from patient-provider conversations, significantly reducing the time required for documentation (Owens et al., 2023). Studies have demonstrated that AI can improve the accuracy and quality of medical notes while alleviating physician burnout (Kernberg et al., 2023). As these technologies continue to advance, they hold the potential to transform medical documentation practices, making healthcare delivery more efficient and effective (Tran et al., 2020). However, the limitations of current AI technology requires keeping a “human in the loop,” and healthcare providers must assess their comfort with playing that role. An alternative, hybrid approach, keeping a human scribe partner as the human in the loop and empowering them with AI for 100% complete coverage and improved accuracy is the best of both worlds.
Despite the promising advancements, AI in medical documentation is not without its limitations, and current AI systems all require keeping a trusted “human in the loop.” One significant drawback is the current inability of AI systems to place orders on behalf of clinicians. This task still requires human intervention, which can slow down the workflow in a fast-paced clinical environment. Additionally, AI systems cannot ask clarifying questions in real-time, which is a critical aspect to maintain accurate documentation. Human scribes seek immediate clarification from physicians when necessary, ensuring the accuracy and completeness of the medical record.
Another limitation lies in the hardware and software capabilities currently available. While AI technologies have made significant strides, they often require substantial computational power and advanced infrastructure, which may not be feasible for all healthcare settings. The initial cost of implementing these systems can be high, and there is also a need for continuous updates and maintenance to ensure their optimal performance.
Furthermore, while AI can process and transcribe vast amounts of data quickly, it lacks the nuanced understanding that human scribes possess. Human scribes can interpret and contextualize information based on their experience and understanding of clinical workflows, something AI is still struggling to achieve. This human touch can be crucial in ensuring the documentation is not only accurate but also clinically relevant.In comparison, human scribes offer several advantages over AI tools. They can adapt to the specific needs of individual clinicians, provide immediate feedback, and enhance the patient-physician interaction by allowing physicians to focus more on patient care rather than on documentation. There are many tasks only human scribes can do, including:
The presence of human scribes can lead to higher satisfaction rates among physicians and patients, as they contribute to a more personalized and efficient healthcare experience. Thus, while AI holds great potential, the role of human scribes remains indispensable in many clinical settings, highlighting the need for a balanced approach that leverages the strengths of both human and artificial intelligence to achieve optimal care.
Facilitating order entry
Summarizing ancillary documents not found in the EMR (e.g., advanced directives)
Printing after-visit summary (AVS)
The presence of human scribes can lead to higher satisfaction rates among physicians and patients, as they contribute to a more personalized and efficient healthcare experience. Thus, while AI holds great potential, the role of human scribes remains indispensable in many clinical settings, highlighting the need for a balanced approach that leverages the strengths of both human and artificial intelligence to achieve optimal care.
AI presents new ways to achieve some of the benefits of human scribes, but with added risk and burden to physicians, who are forced to be the human-in-the-loop in AI-only transcription solutions. There is undoubtedly some value provided by transcription services, but they are an incomplete replication of human scribes and the many tasks they can take on from overburdened physicians.
AI presents new ways to achieve some of the benefits of human scribes, but with added risk and burden to physicians, who are forced to be the human-in-the-loop in AI-only transcription solutions. There is undoubtedly some value provided by transcription services, but they are an incomplete replication of human scribes and the many tasks they can take on from overburdened physicians.
Human-only solutions provide more value than AI-only ones currently, but the optimal value is captured when trained expert scribes serve as the human-in-the-loop, yet are backed by AI. Only hybrid solutions provide real-time clarification, edited summaries, and order entry facilitation with 100% coverage. Comparing what the different models of scribe solutions provide:
An important framework many healthcare providers are striving to achieve is the now “Quintuple Aim”:
Only hybrid human-plus-AI solutions help providers best achieve all elements of the quintuple aim:
Bringing together the best of AI technology with trained human oversight and intervention, scribe solutions offer increasing value to healthcare organizations and patients alike. To find out more about how Scribe-X and Foresight Health Solutions are partnering to create leading-edge hybrid solutions that can help you better achieve the quintuple aim, contact: solutions@scribe-x.com
Here is a sneak peak at our range and roadmap of product solutions:
We look forward to partnering with you to find the best solutions to meet your needs.
1. Gao, R. W., Dugala, A., Maxwell, J., Falconer, P., Birkeland, A., Divi, V., & Rosenthal, E. (2019). Effect of Medical Scribes on Outpatient Oncology Visits at a Multidisciplinary Cancer Center. *Journal of Oncology Practice*. Retrieved from [https://dx.doi.org/10.1200/JOP.19.00307].
2. Gidwani, R., Nguyen, C. T., Kofoed, A., Carragee, C., Rydel, T. A., Nelligan, I., Sattler, A., Mahoney, M., & Lin, S. (2017). Impact of Scribes on Physician Satisfaction, Patient Satisfaction, and Charting Efficiency: A Randomized Controlled Trial. *Annals of Family Medicine*. Retrieved from [https://dx.doi.org/10.1370/afm.2122].
3. Friedson, A. (2017). Medical Scribes as an Input in Health-Care Production: Evidence from a Randomized Experiment. *American Journal of Health Economics*. Retrieved from [https://dx.doi.org/10.1162/ajhe_a_00103].
4. Kernberg, A., Gold, J. A., & Mohan, V. (2023). Using ChatGPT-4 to create structured medical notes from audio recordings of physician-patient encounters: Comparative study. *Journal of Medical Internet Research*. Retrieved from [https://dx.doi.org/10.2196/54419].
5. Tierney, A. A., Gayre, G., Hoberman, B., Mattern, B., Ballesca, M. A., Kipnis, P., Liu, V., & Lee, K. (2024). Ambient artificial intelligence scribes to alleviate the burden of clinical documentation. *Clinical Advances in Technology*. Retrieved from [https://dx.doi.org/10.1056/cat.23.0404].
6. Tran, B. D., Chen, Y., Liu, S., & Zheng, K. (2020). How does medical scribes' work inform development of speech-based clinical documentation technologies? A systematic review. *Journal of the American Medical Informatics Association*. Retrieved from [https://dx.doi.org/10.1093/jamia/ocaa020].
7. Itauma, O., & Itauma, I. (2024). AI scribes: Boosting physician efficiency in clinical documentation. *International Journal of Biomedical Research*. Retrieved from [https://dx.doi.org/10.5121/ijbb.2024.14102].
8. Owens, L. M., Wilda, J. J., Hahn, P. Y., Koehler, T., & Fletcher, J. J. (2023). The association between use of ambient voice technology documentation during primary care patient encounters, documentation burden, and provider burnout. *Family Practice*. Retrieved from [https://dx.doi.org/10.1093/fampra/cmad092].