On July 2, leading ODM manufacturer Inventec announced that its AI-powered medical device, “InSmart Wound Assessment Software” (TFDA Device License No. 008105), has been in service at Taichung Tzu Chi Hospital for nearly a year. The software has successfully supported the development of the hospital’s signature wound care program. From initial wound screening across the hospital to specialist nurse training applications, the software has reduced average wound assessment time by more than 40-fold. This year, Tzu Chi Medical Foundation plans to expand its use to long-term care centers, supporting home care and community-based specialist nurses in wound assessment—accelerating chronic disease care, alleviating workforce shortages, and improving long-term care quality.
Dr. Chao-Chih Yang, Director of Plastic Surgery at Taichung Tzu Chi Hospital, emphasized, “Nurses are the backbone of our system.” With an aging population and rising prevalence of chronic conditions such as diabetes and cardiovascular disease, Taiwan faces an increasing demand for care amidst a strained medical workforce. In wound diagnosis involving comorbidities, outcomes often vary due to wound complexity, clinical environment, and physician experience. Delayed or incorrect diagnoses can prolong healing, increase patient suffering, and place additional psychological and financial burdens on caregivers. Therefore, improving both the accuracy and efficiency of wound diagnosis is a key challenge in long-term and home-based care.
By introducing InSmart Wound Assessment Software, Taichung Tzu Chi Hospital has leveraged AI to assist in wound identification, significantly improving diagnostic accuracy. The software not only reduces nursing workload but also ensures consistency and real-time analysis across various clinical scenarios. Its diagnostic capabilities are comparable to those of wound care specialists. Through API integration with the hospital’s HIS (Hospital Information System) and NIS (Nursing Information System), AI-generated wound assessments are automatically embedded into internal workflows, aiding physicians and non-specialist nurses in providing timely, personalized wound treatment for both outpatients and inpatients.
Combining existing clinical assessments and examination reports, InSmart’s real-time wound analysis capability has shortened the average wound evaluation time from 20 minutes to just 30 seconds. With an accuracy rate of 90%, even non-specialist nurses can benefit from the tool. The software also enables real-time tracking of wound progression and healing through its digital records. Integrated with hospital systems via API, wound data and analysis results are updated instantly and automatically into clinical records, eliminating manual data entry, reducing administrative workload by nearly 50%, and minimizing human error.
This fusion of AI and healthcare is gradually expanding from individual hospitals to broader applications. At Taichung Tzu Chi Hospital, InSmart has played a pivotal role in building a distinctive wound care model and is now being extended beyond initial screening to home care settings. By empowering family-based specialist nurses with AI tools for early-stage wound assessment, the system facilitates more immediate communication between in-hospital physicians and out-of-hospital caregivers—creating a win-win outcome for both patients and their care teams.
Resource: 英業達 AI 助攻中慈特色醫療 成功優化傷口醫療品質
