DSAIG Seminars
A Data-driven Approach to the Integrated Elderly Care
| Abstract: | The global trend today is to shift the care burden away from the acute care and long-term care, which are costly and afford a poor quality of life, to community care and primary care, which are more conducive to active aging, more cost-effective and afford a higher quality of life. Clinical studies and health economics research have repeatedly demonstrated that appropriate and coordinated care in the community can reduce both the rate of hospitalisation and the need for institutionalized long-term care. However, the prevailing practice in HK is such that acute care and long-term care institutions receive most of the financial and human resources, even though it is well researched that investment in community-based care is more cost-effective for the active aging of the population. Healthcare in HK have been governed by two government departments through two systems, i.e., Social Welfare Department and Health and Food Bureau. As a result, elderly care systems in HK are fragmented and lacking effective coordination. In this talk, we will present several projects towards developing a data-and-service analytics approach to integrated elderly care. Specifically, our studies are intended to address the following two thrust areas: First, prioritise elderly care delivery: use data science tools to develop an integrated registry of at-risk elderly in selected areas and their case history and care needs. Second, optimise resource allocation: use analytics such as simulation and optimisation tools to balance supply-demand dynamics and to ensure that resources are most effectively distributed and coordinated between inpatient and outbound (medical and social) services in the community. |
| Date: | Dec 14 (Thu), 2017 12:30 pm - 2:00 pm |
| Time: | 12:30PM - 2:00PM |
| Speaker: |
Prof. Frank CHEN Dr. Eman LEUNG |
| Venue: | Room 14-221, 14/F, Lau Ming Wai Academic Building (AC3), City University of Hong Kong |
+852 3442-8989
+852 3442-0151
