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Establishing an acute care nursing bed unit size: employing a decision matrix framework
Terry Ritchey1, Debajyoti Pati
1Clinical Advisory Group, HKS, Inc., Dallas, TX 75201, USA. tritchey@hksinc.com
HERD
|September 15, 2012
Summary
Choosing the optimal number of beds for acute care units requires balancing quality, finance, and patient outcomes. This framework aids decision-makers in hospital design and renovation for better patient care.
Area of Science:
- Healthcare Design
- Hospital Operations Management
Background:
- Determining optimal acute care unit bed count is complex for architects and administrators.
- Existing literature on unit bed size and hospital operations is fragmented, necessitating further research.
Purpose of the Study:
- To provide a decision-making framework for selecting customized unit bed sizes during early planning phases.
- To address the challenge of determining patient room numbers in acute care units.
Main Methods:
- Utilized a "balanced scorecard" concept for assessment.
- Applied a healthcare balanced scorecard with four quadrants: quality, finance, provider outcomes, and patient outcomes.
Main Results:
- The balanced scorecard offers a structured approach to evaluate factors influencing unit bed size.
- Compares the impact of quality, finance, provider, and patient outcomes on bed size decisions.
Conclusions:
- The balanced scorecard provides a valuable framework for optimizing unit bed size in healthcare facility design.
- Customized solutions considering site dynamics and operational impacts are crucial for effective healthcare architecture.
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