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
Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025
2025 | News
Unite and Flourish: Undergraduate Students and Alumni Mixer Event 2025
To foster the bonding between the School Alumni and to allow Undergraduate Students to receive impactful insights in their career exploration journey. The HKU Business School hosted its first-ever UG Students and Alumni Mixer event at the HKU iCube on March 6, 2025. This event, jointly organised by the School’s Undergraduate Student Enrichment and the Development and Alumni Team, brought together esteemed alumni in diverse industries and current undergraduate students across 11 majors for an evening of networking, knowledge sharing, and mentorship.
HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
2025 | News
HKU Business School Releases a Comprehensive Evaluation Report on the Image-Generation Capabilities of AI Models
HKU Business School released a Comprehensive Evaluation Report on the Image Generation Capabilities of Artificial Intelligence Models, providing a systematic assessment of 15 text-to-image models and 7 multimodal large language models (LLMs). The results showed that ByteDance’s Dreamina and Doubao, as well as Baidu’s ERNIE Bot ranked among the top performers in terms of image content quality for new-image generation and image revision. However, despite DeepSeek having attracted global attention, its newly released text-to-image model, Janus-Pro, did not perform as well in new-image generation. HKU Business School researchers also found that while some text-to-image models excelled in content quality, their performance in safety and responsibility was significantly lacking. In general, multimodal LLMs demonstrated better overall performance compared to text-to-image models.