Chung Shan Medical University and Compal Develop Smart Medication Delivery Robot to Reduce Medical Staff Burden
Chung Shan Medical University and Compal Electronics have jointly developed a 'Smart Medication Delivery Robot' to reduce the burden on medical staff.
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- 📰 Published: June 2, 2026 at 15:49
- 🔍 Collected: June 2, 2026 at 15:59 (10 min after Published)
- 🤖 AI Analyzed: June 2, 2026 at 16:01 (2 min after Collected)
Chung Shan Medical University and its affiliated hospital have partnered with Compal Electronics to create a 'Smart Medication Delivery Robot' to reduce the burden on medical staff. Based on an 80-meter round trip in the emergency room, it can save front-line personnel over 120 kilometers of walking distance per month and reduce medication delivery manpower by approximately 25%. Chung Shan Medical University announced today that to promote the development of smart healthcare, they have collaborated with Compal Electronics to build the 'Smart Medication Delivery Robot' and the 'Smart Medicine Cloud Cube' system independently developed by the affiliated hospital, which were showcased at the 2026 Taipei International Computer Show. Chung Shan Medical University Chairperson Chou Ying-hsiang pointed out that the robot combines Physical AI and Digital Twins technology to create smart medical logistics and human-robot collaboration application scenarios. In the past, emergency medical staff and pharmacists made up to 1,500 trips per month. With the introduction of the 'Smart Medication Delivery Robot,' if expanded to wards and operating rooms, it is estimated that over 500 kilometers of walking distance can be saved per month. Compal Electronics Senior Vice President Chen Hsi-kuan pointed out that the team has established a 'Closed-loop Workflow' for emergency and pharmacy medication delivery, adopting dedicated card authority control. Once the pharmacist completes the dispensing, the medication enters the 'Smart Medicine Cloud Cube' to start full-process tracking.
FAQ
智慧送藥機器人的主要功能是什麼?
自動化藥品配送,減少醫護人員往返藥局與病房的負擔。
該系統預計能節省多少人力?
減少約25%的藥品傳送人力,每月節省逾120公里步程。
合作開發的單位有哪些?
中山醫學大學、中山附醫與仁寶電腦。
該系統的核心技術是什麼?
結合Physical AI與Digital Twins(數位雙生)技術。
該系統如何確保藥品安全?
採用專人專卡權限控管,並透過智藥雲立方系統進行全程追蹤。