Gachon Gil Medical Center Launches AI Nursing Roadmap to Boost Patient Focus

Scheduling AI Completes in a Day Automated Medical Dialogue Records in the Works

Society|
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By Ahn Jae-kyun
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View of Gachon University Gil Medical Center. Source: Gil Medical Center - Seoul Economic Daily Society News from South Korea
View of Gachon University Gil Medical Center. Source: Gil Medical Center

Gachon University Gil Medical Center said Tuesday it is deploying artificial intelligence (AI) across its nursing operations. The hospital has launched a "smart nursing" roadmap that automates core areas of hospital management, from shift scheduling to medical record-keeping.

The most notable initiative is an AI-powered shift scheduling system set to debut next year. Tasks that previously took head nurses a full week to complete will be handled by AI within a single day. An algorithm trained on individual circumstances and ward conditions will automatically generate fair staffing arrangements.

The look of the examination room will also change in three years. The AI charting system, scheduled for introduction in 2028, will listen to conversations between doctors and patients in real time, with generative AI organizing key points on the spot. Medical staff will be able to maintain eye contact with patients while AI handles the documentation.

Some technologies have already been validated in the field. "Smart CLMA," launched in June 2023, uses around 350 handheld devices carried by nurses to perform double verification of patient identity and medication information. The system serves as a safety net that prevents incorrect medications from reaching patients at the system level.

AI also monitors the movements of patients lying in bed. Sensors installed on beds designated for high-risk fall patients detect abnormal signs and immediately alert the nursing station. Bed assignments are also automated, with AI selecting the optimal room based on each patient's condition.

In the second half of the year, the hospital plans to digitize bedside electronic nameplates and rounding schedules as well.

Original reporting by Ahn Jae-kyun for Seoul Economic Daily.

AI-translated from Korean. Quotes from foreign sources are based on Korean-language reports and may not reflect exact original wording.

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