Decision making in high dependency environments--can we learn from modern industrial management models?

Area of Science:

• Healthcare Management
• Clinical Operations
• Systems Engineering

Background:

• Patient management in high dependency environments is increasingly complex and challenging.
• Medical expertise alone is insufficient for optimal patient care; management skills and facilities are essential.
• Industrial management models offer valuable insights into complex system management.

Purpose of the Study:

• To explore the application of industrial management principles to clinical patient management.
• To identify similarities between industrial and clinical management systems.
• To propose a layered framework and tools for improving clinical patient management capabilities.

Main Methods:

• Comparative analysis of industrial management models and clinical patient management.
• Conceptualization of clinical patient management as a navigation process with control systems and dimensions.
• Structuring clinical patient management into operational, strategic, and normative layers.

Main Results:

• Clinical patient management shares structural, interactive, and evolutionary complexity with industrial systems.
• A three-layer model (operational, strategic, normative) can structure clinical patient management.
• Tools are proposed to enhance clinical decision-making and strategic planning.

Conclusions:

• Applying industrial management principles can significantly improve patient management in high dependency settings.
• Developing specific tools for each management layer (operational, strategic) is crucial for enhancing clinical capabilities.
• A systems approach, integrating management techniques with medical knowledge, is vital for effective patient care.