Transforming healthcare businesses using big data

Transforming healthcare businesses using big data

Increasing digitalisation and connectivity in the world have resulted in the creation of huge quantities of data. Used correctly, big data can transform and improve businesses and sectors such as public healthcare through innovation and new technology.

Professor Haipeng SHEN, Professor of Innovation and Information Management and Associate Dean (Executive Education) at HKU Business School, is the recent recipient of the Patrick S C Poon Professorship in Analytics and Innovation. The Professorship will support his academic and research activities in data-driven decision-making in the face of uncertainty, including fundamental methodological research about the challenges imposed by big data as well as interdisciplinary analytical research in business analytics and precision medicine. Professor Shen uses analytics to extract the most useful and actionable information to help organisations increase their competitive edge and efficiency through better decision-making.

He is also working with medical professionals to enhance treatments for patients at a lower cost and enable hospitals to run more efficiently. His research into strokes has led to better quality of care for stroke patients. He works with neurologists and cardiologists to use analytics to build innovative data-driven support systems that will improve clinical decision-making, leading to better management of chronic diseases.

The Patrick S C Poon Professorship in Analytics and Innovation builds on HKU’s leading role in researching and teaching these drivers of sustainable progress to create a better world. “Dr. Patrick Poon is one of the earliest graduates from HKU’s Department of Statistics and Actuarial Science, he knows data science well. He is also a successful entrepreneur and a long-time supporter of HKU and the community,” Professor Shen said. “I feel extremely fortunate and greatly honoured to be associated with him through this endowed professorship”.

“Data creates connectivity. It connects me with extraordinary people like Dr. Poon,” Professor Shen added. “I intend to use this generous support to deepen and broaden my research and knowledge exchange activities in business analytics and healthcare management. I am also dedicated to further pursuing inter-faculty and inter-institution initiatives to continue to generate real impacts through data science”.

Professor Shen was the inaugural winner of the Faculty Special Contribution Teaching Award in 2018. He founded the Master of Science of Business Analytics programme and the Executive Master of Business Administration programme (in collaboration with Peking University Guanghua School of Management).

Other Events
港大經管學院最新多模態AI圖像生成能力排名出爐 部份中國人工智能模型表現突出
2025 | 學院新聞
港大經管學院最新多模態AI圖像生成能力排名出爐 部份中國人工智能模型表現突出
港大經管學院今日發表《人工智能模型圖像生成能力綜合評測報告》,針對15個「文生圖模型」及7個「多模態大語言模型」進行全面評估。研究顯示,字節跳動的即夢AI和豆包,以及百度的文心一言,在新圖像生成的內容質素及圖像修改的表現突出;而早前引起全球關注的DeepSeek最新推出的文生圖模型Janus-Pro,則在新圖像生成方面表現欠佳。研究亦發現部分文生圖模型雖然在內容質素方面表現優異,卻在安全與責任方面的表現強差人意。整體而言,與文生圖模型相比,多模態大語言模型整體表現較佳。
人工智能圖像生成評測成績單公布: 字節跳動百度表現亮眼,DeepSeek Janus-Pro表現欠佳
2025 | 研究
人工智能圖像生成評測成績單公布: 字節跳動百度表現亮眼,DeepSeek Janus-Pro表現欠佳
如今,人工智能領域的前沿模型技術已經從文本處理拓展至視覺信息的深度理解與生成。這些模型既能精准解讀圖像語義,又能根據文字描述創作出兼具真實感與藝術性的視覺內容,展現出令人驚嘆的跨模態理解與創作能力。本研究聚焦全新圖像的生成和基于現有圖像的圖像修改兩大核心任務,提出了一套系統性的人工智能模型圖像生成能力評測框架。我們基于多維測試集的構建與專家評審,對15個專業文生圖模型和7個多模態大語言模型的圖像生成能力進行了全面評估。結果顯示,字節跳動的即夢AI和豆包以及百度的文心一言在新圖像生成的內容質量與修改任務中表現突出,位列第一梯隊。對比不同類型的AI模型,我們發現,相對于專業文生圖模型,多模態大語言模型整體表現更佳。