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Tracking the patient journey by combining multiple hospital database systems.
Andy Wong1, Erhan Kozan1, Michael Sinnott2
1Decision Science, Queensland University of Technology, Garden Point Campus, 2 George Street, Brisbane, Qld 4001, Australia. Email: ;
Understanding patient flow is key to improving hospital efficiency. This study shows how integrating data from multiple databases can track patient journeys, aiding bed management and procedure scheduling.
Area of Science:
- Health Services Research
- Hospital Management
- Health Informatics
Background:
- Public hospitals face new targets for patient flow to enhance efficiency.
- Effective patient flow management is crucial for optimizing patient care and resource utilization.
- Knowledge of factors influencing length of stay is vital for hospital operations.
Purpose of the Study:
- To demonstrate the feasibility of integrating data from disparate hospital databases.
- To enable comprehensive tracking of patient journeys from admission to discharge.
- To support improved hospital bed management and surgical scheduling.
Main Methods:
- Case study conducted at a tertiary hospital.
- Integration of data from three distinct operational databases.
- Development of a method to follow individual patient pathways.
Main Results:
- Successful integration of data from multiple sources was achieved.
- A methodology for tracking patient journeys across the hospital was established.
- Demonstrated the possibility of a unified view of patient flow.
Conclusions:
- Integrating data from multiple hospital databases is feasible.
- This integrated approach facilitates a clear understanding of patient journeys.
- Improved patient flow knowledge supports better hospital resource management and scheduling.
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