Using Digital Twin for Infectious Disease Surveillance and Outbreak Investigations
Technology
National Healthcare Innovation and Productivity Medals
SingHealth
31 December 2023
Develop a system to identify persons exposed to infectious diseases and detect clusters promptly. Digital Twin systems improve infection prevention, cluster detection, and outbreak preparedness planning.
Year Submitted: 2023
Published Date: 31 December 2023
Tags: Technology, Digital Health, Data Analytics, Artificial Intelligence, Big Data, Data Modelling, Data Visualization, Acute Care
About this Content
Aims
Develop a system to identify persons exposed to infectious diseases and detect clusters promptly.
Background
COVID-19 highlighted the need for better tools in contact tracing and disease detection in complex hospital settings.
Methods
Developed the 3D-DOSS prototype to map spatial representations of inpatient movements and exposures. Risk modeling applied using clinical and environmental data.
Results
Detected an influenza cluster of 10 patients in Nov 2018 and mapped contacts (44 primary, 162 secondary) for a COVID-19 case.
Conclusion
Digital Twin systems improve infection prevention, cluster detection, and outbreak preparedness planning.
Lessons Learnt
Digital tools enable early intervention, preventing onward disease transmission and enhancing preparedness.
Additional Information
NHIP 2023 Best Practice Medal
Keywords
COVID, Contact Tracing, Data Visualization, 3D-DOSS
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | SingHealth |
Organization(s) Involved | Singapore General Hospital, Changi General Hospital |
Platform(s) | National Healthcare Innovation and Productivity Medals |
Healthcare Professional Group(s) | Healthcare Administration |
Applicable Specialty or Discipline | Infectious Diseases, Medical Social Workers, Healthcare Administrators |
Project Lead(s) | Indumathi Venkatachalam |
Project Member(s) | Chow Weien |
Connect with this contributor!
Daniel Tiang Chuanwen - daniel.tiang.chuanwen@singhealth.com.sg