Health-care process improvement decisions: a systems perspective.

Area of Science:

• Healthcare Management
• Systems Engineering
• Organizational Behavior

Background:

• Hospital improvement activities are complex, involving intricate decision-making processes.
• Performance measurement systems (PMS) are widely used to guide and evaluate these improvements.
• The impact of PMS on decision-making and the sustainability of process changes requires deeper investigation.

Purpose of the Study:

• To investigate decision-making processes within hospital improvement initiatives.
• To understand how PMS influence these decisions, potentially leading to unsuccessful or unsustainable changes.
• To identify factors contributing to poor analysis of problem situations in healthcare settings.

Main Methods:

• A longitudinal study conducted over 33 months at a UK hospital.
• Monitoring process improvement events using statistical process control methods and direct observation.
• Adopting a systems perspective to interpret the impacts of decisions across the healthcare supply chain.

Main Results:

• PMS can obscure failed decisions and promote a low-risk, 'symptomatic relief' approach to performance metrics.
• Managers often avoid higher-risk, sustainable process improvements due to PMS influence.
• A lack of understanding of healthcare system behavior contributes to poor problem analysis among managers.

Conclusions:

• Time-series methodologies like statistical process control are crucial for understanding the systemic impact of changes.
• Senior managers must recognize the behavioral influence of PMS that may discourage sustainable improvement.
• Process control measures can establish organizational memory regarding decision impacts on performance, addressing a current deficit.