商品描述
The demand for telehealth solutions has been growing exponentially after the Covid-19 pandemic. Hospitals remain understaffed, which leads to staff burnouts and unsatisfactory patient experience. They also find it difficult to use AI to reduce the workload for doctors and nurses. Doctors barely use data collected from wearables and home-use medical devices to make diagnosis. As generative AI advances, traditional medical device manufacturers are exploring with open innovation to transform into a software-based business model facing competition from large tech companies and startups. This book shares the perspectives from different stakeholders around the challenges of the use of AI in healthcare.
商品描述(中文翻譯)
隨著 Covid-19 疫情的影響，遠程醫療解決方案的需求呈指數增長。醫院人力資源不足，導致員工過勞和病人經驗不佳。他們也發現很難利用 AI 來減輕醫生和護士的工作負擔。醫生幾乎不使用從可穿戴設備和家庭醫療設備收集的數據來進行診斷。隨著生成式 AI 的進步，傳統醫療設備製造商正在探索開放創新，以轉型為以軟體為基礎的商業模式，面對來自大型科技公司和新創公司的競爭。本書分享了不同利益相關者對於在醫療保健中使用 AI 所面臨挑戰的觀點。
作者簡介
Dr. Nuoya Chen (MBA) was a Marie Curie Fellow for the Horizon 2020 Health related Activity Recognition system based on IoT project at University of Macerata. She worked with Philips Research in 2018, 2019 and 2021 to finish her PhD. She later worked for a medical device startup in China and Philips Industry Consulting. She is currently an associate member of the Royal Society of Medicine while serving for several journals as review editor.
作者簡介(中文翻譯)
陳諾雅博士 (MBA) 曾擔任馬克里大學的Horizon 2020健康相關活動識別系統基於物聯網專案的瑪麗居里研究員。她於2018年、2019年和2021年與飛利浦研究合作完成她的博士學位。之後，她在中國的一家醫療設備初創公司和飛利浦產業顧問工作。她目前是英國皇家醫學會的副會員，同時擔任多本期刊的審稿編輯。
