医务人员最烦的不是 OT，是写报告

Another takeaway from the CommonWealth Economic Forum. As Taiwan becomes a super-aged society, its healthcare system faces new pressure. A Chang Gung Medical Foundation leader noted that the over-65 population keeps growing and diseases of old age such as cancer are rising, so care must focus more on integrated and precise treatment for elderly patients, with long-term and palliative care becoming more important. Chang Gung has invested here, including a retirement village and end-of-life services for seniors. One major challenge is staff shortage, and AI can help. His example surprised me: what many medical staff dislike most isn't overtime or treating patients, but the time spent writing reports. Reports matter, because accurate records let doctors plan precise treatment, but AI can generate and manage them, cutting repetitive work, raising efficiency and lowering turnover. The same applies to running a team. When a startup is small, communication is simple and progress is easy to track. As the team grows, tracking projects and goals gets complicated and reports matter more. Riding the AI wave doesn't require building complex large models. Using existing AI tools well to generate reports, organise data or smooth communication can already take us further in our own fields.