原來以前工作的單位,說要配合醫院發展 AI 的願景,要我們這些底層醫師做的事有一個專有名詞,叫做「 AI 資料處理員」,內容就是從大量病歷資料做各種歸類和標記,把資料整理成 AI 吃得下的樣子。 學長姐讓學弟妹們相信自己是走在科技尖端的新中醫,而且貢獻度夠高的話(學長還發明了一套計算貢獻值的制度),有朝一日會讓你的名字出現在作者群,甚至分到一篇當第一作者的 paper ,你就有升上主治醫師必備的門票了。而且做這些事都是利用臨床業務之餘的時間和體力,你得自己想辦法跟上團隊發配的進度,並參與小組定期 meeting ,而這一切都是你自願免費去做的,因為你會怕自己在這裡待不下去。整個環境就是這樣告訴你的。你也無法向任何人說,畢竟這是自由參加,但他們也讓你相信,不參加你也死定了。就像我後來的下場一樣。不過也許我這叫做裸辭。 I didn’t know it had a term for the thing we’re doing (I left that job two years ago), it’s called "Data Processing." Our department leader, aiming to align with the hospital's AI ambitions, assigned us junior physicians a mission, which seemed like sorting, categorising, and labelling a large amount of medical records, organising the contexts into a format suitable for feeding to the AI. Seniors convinced us juniors that we were cutting-edge practitioners of Chinese medicine, and that if we contributed enough (he even invented a system for calculating contributions), we'd one ...