AI-Powered Automatic Documentation Changes the Consultation Room…Patients and Clinicians Both Respond Positively

At Seoul National University Bundang Hospital, an AI-based automatic documentation system was introduced as changing the flow of consultations, allowing patients and clinicians to maintain eye contact and continue deeper conversations. The article described the shift as affecting not only documentation efficiency and accuracy, but also the overall consultation experience.

AI-Based Documentation in the Consultation Room

According to the article, conversations between patients and physicians in a family medicine consultation room at Seoul National University Bundang Hospital are being organized into real-time text through AI. The report described a consultation setting in which both patient and clinician look at the same screen together, creating a different flow from the conventional scene where the physician mainly focuses on manual chart entry.

Changes in the Consultation Experience

A clinician who had used the system for more than a year was quoted as saying that automatic documentation reduced the burden of direct input and made it possible to look at patients more often and engage in deeper conversation. The article framed the use of AI not only as documentation support, but as a change that improved satisfaction for both patients and medical staff.

Expansion of Medical AI Across National University Hospitals

The broader article also covered how national university hospitals, including Seoul National University Bundang Hospital, are expanding the use of AI in areas such as image reading, ECG analysis, and automated clinical documentation. The government was also reported to be planning AI-driven transformation centered on national university hospitals, positioning them as key institutions in regional and public healthcare.

Expectations for Patient Safety and Medical Productivity

The report described medical AI as having significance beyond administrative support, with potential value for both patient safety and medical productivity. It also included views that AI could help address limits of time and space in healthcare and support improvements in regional, essential, and public medical services.

Ongoing Challenges Around Investment and Support

At the same time, the article noted that hospitals are already investing their own budgets in AI equipment and infrastructure, even though return on investment is difficult to measure in the short term. Hospital leaders called for government support and incentives to strengthen data connectivity and promote further research and development.

This case can be seen as showing how AI-based automatic documentation is evolving from a tool for reducing charting workload into a force that changes communication and the consultation experience itself.

For more details, please refer to the media coverage below.

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Source: Maeil Business Newspaper (https://www.mk.co.kr/)