Gazing the Crystal Ball – Optimising Bed Utilisation Through Accurate Prediction of Bed Availability
Care Process & Redesign
Singapore Healthcare Management Congress
SingHealth
31 December 2021
Optimize bed utilization through predictive modeling and admissions stacking. Predictive modeling ensures sustainable improvements in resource utilization.
Year Submitted: 2021
Published Date: 31 December 2021
Tags: Care Process ＆ Redesign, Access To Care, Bed Occupancy Rate, Value Based Care, Utilisation, Operational Management, Resource Allocation, Quality Improvement, Lean Methodology
About this Content
Aims
Optimize bed utilization through predictive modeling and admissions stacking.
Background
SCH faced challenges in bed availability due to high dropouts and unplanned discharges.
Methods
Developed a mathematical predictive model using historical data, established stacking admissions.
Results
Increased Bed Occupancy Rate (BOR) to over 90%; maximized bed use during co-located hospital crises.
Conclusion
Predictive modeling ensures sustainable improvements in resource utilization.
Lessons Learnt
Collaborative data analysis is essential for effective resource allocation in healthcare.
Additional Information
SHM 2021 – Shortlisted Project (Finance Category)
Keywords
Predictive Modeling, Resource Allocation
Innovators' Details
Innovators' Details
Healthcare Cluster(s) | SingHealth |
Organization(s) Involved | SingHealth Community Hospital |
Platform(s) | Singapore Healthcare Management Congress |
Healthcare Professional Group(s) | Healthcare Administration |
Applicable Specialty or Discipline | Healthcare Administrators |
Project Lead(s) | Amran bin Abdul |
Project Member(s) | Marianne Au |
Connect with this contributor!
Amran bin Abdul - singaporehealthcaremanagement@singhealth.com.sg
Project Attachment
C543_SCH_SHM_2021_Gazing_the_Crystal_Ball_Optimizing_Bed_Utilisation_Through_Accurate_Prediction.pdf