Automated Multi-Objective Nurse Scheduling System
Team Member
- Dr. Malcolm Low (PI)
- Dr. Wang Zheng Kui (Co-PI)
- Dr. Mary Chen (Co-PI)
- Larry Zhu (PO)
- ICT & UofG CS FYP students and student assistants
- Industry Partner(s): National Health Group Polyclinics (NHGP)
Project Start & End Date
- Jan 2017 – June 2019
Channel of Collaboration and/or Funding
- SIT Ignition Grant
- Integrative Team Project (ITP)
Problem to Solve
- Polyclinics are planning the duty schedule of their staff and nurses manually based on the knowledge of planners.
- The competency and availability of the staff are collated manually and preference of staff cannot be easily satisfied
Solution and Notable Contribution
- Develop an automated staff roster planning system that generates staff duty schedule and assigns staff to workstations fairly based on their competency, availability and preference and the business rules of different polyclinics.
Notable Outcome(s) / Progress and Next Step / Potential of Wider Application
- The Training Record Management System (TRMS), Leave Projection System (LPS) and Staff Roster Planning system (SRPS) have been deployed for use in the NHGP polyclinics.
Publication
- Larry Ruohua Zhu, Jun Hong Tong, Malcolm Yoke Hean Low, Ben Hsin Lau, Mary Xiaorong Chen and Zhengkui Wang, “An Automated Staff Roster Planning System (SRPS) For Healthcare Industry”, In Proceedings of the 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019), pp. 167-172, 8-11 July 2019, Toyama, Japan.
Media
Staff Roster Planning System
