Providing a data-driven boost to healthcare systems resilience
For many years healthcare services across the world have been coming under increasing pressure. Factors such as ageing populations, rising expectations, and the growing costs of advanced treatments, have all added to the strain. But in many places, the outbreak of the COVID-19 pandemic has pushed these systems to breaking point.
Given, therefore, the pressing need to improve efficiency, better target the allocation of resources, and streamline processes, the launch of a new MSc programme in Health Analytics and Operations Management (HAOM), by Lingnan University, could not be more timely.
This one-year, full-time, or two-year, part-time, interdisciplinary programme will equip students with data-driven management knowledge and skills. Working in collaboration, Lingnan’s Faculty of Business and its School of Graduate Studies have developed a curriculum which integrates theories and methods of healthcare and operations management, with the use of a variety of data analysis and modelling tools.
The HAOM aims at providing students with data-driven management knowledge and skills to make informed decisions about healthcare and enhance efficient management of health service operations. The programme also intends to train students to develop a career-driven practical and research skills in health data analytics and operations management through the professional and technical knowledge.
Health data has grown exponentially. Graduates may explore career in a diverse mix of industries, companies and locations. For instance, government requirements would demand the improvement and maintenance of health data. Consumer electronic health data would increase the need for health analytics, as well as the massive growth of data e.g. through smart phone and other IoTs increase the need to better manage and utilize the data to make improvement multiple areas of healthcare. Health analytics skills are also instrumental to assist the decision making of what, when and how a new service should be offered or enhanced. Health analytics skills assist the detection of changes in health e.g. through self-measured blood pressure or mobility, reduce the cost of care e.g., reduce the risk of expensive health interventions, and other insights from health data.
Some recent career openings are:
- Analytics Manager/Administrator (Health Care)
- Health Administrator
- Client Data Analyst
- Clinical Manager
- Business Analytical Manager
- Health Information Manager
- Health Insurance Manager
- Health Promotion Personnel
- Medical Educator and Researcher
Message from Vice President and Dean of School of Graduate Studies, Lingnan University
Professor Joshua MOK Ka-ho
Lam Man Tsan Chair Professor of Comparative Policy
Dean, School of Graduate Studies
The School of Graduate Studies is proud to collaborate with our Faculty of Business to launch this exciting Master of Science in Health Analytics and Operational Management (HAOM) programme. This one-year, full-time, or two-year, part-time, interdisciplinary programme will equip students with data-driven management knowledge and skills. It integrates theories and methods of healthcare and operations management, with the use of a variety of data analysis and modelling tools.
Lingnan University offers a rewarding education environment and a robust research platform enriched through professional seminars and international exchanges are just some of the aspects through which our Taught Postgraduate programmes can help students to pursue and realise their dreams. Health data has grown exponentially. Graduates may explore career opportunities in a diverse mix of industries, companies and locations.
Our teaching staff of HAOM have international background, and we invite guest speakers from Hong Kong, mainland China and other parts of the world to share their valuable insight and experience on various topics in order to equip students with updated knowledge, skills and awareness needed to achieve their goals. Through the “capstone” project, our students not only gain academic knowledge, but also extra-curricular learning experiences and exposure to other competencies such as communication, teamwork, leadership and entrepreneurship. HAOM aligns with Lingnan’s overall liberal arts education value and culture.
We look forward to meeting you at the HAOM programme and Lingnan.
Message from Dean of Faculty of Business
Professor Leng Mingming
Our Faculty of Business at Lingnan University is pleased to support the School of Graduate Studies to launch this exciting Master of Science in Health Analytics and Operational Management programme. Our Faculty will be delighted to provide technical expertise and advice to HAOM. Our aim is to enable optimal decision-making on healthcare problems.
In the future, doctors and medical administrators will be able to make increasing use of AI and big data to analyse their patient’s symptoms and help them make their diagnosis. While the programme’s focus on online healthcare applications – enabling, for example, the uploading of blood pressure measurements – is of particular importance when it is essential to limit in-person contact.
Even so, non-digital means to improve operational efficiency, such as through modifications to the physical layout of healthcare facilities, will also be studied.
Lingnan University is continuously committed to the delivery of quality, whole-person education service to both undergraduate and postgraduate students. It is a core part of our values, and that HAOM programme will be of no difference.
I wish every success of this exciting HAOM Programme.
HAOM students will have the chance to take up internships and other experiential opportunities with private and public agencies in Hong Kong and Mainland China and apply to take part in exchange programmes with a range of overseas universities. It will also be possible for students to learn about broader health and care issues in the Greater Bay Area, via the LU-Wuyi Joint Research Centre on Ageing in Place.
Professor Leng points out that even after the current pandemic is brought under control, nobody knows what health-related crises, requiring fast and effective data-driven action, will arise in the future. “So we need to develop emergency management for the healthcare sector,” he suggests.