Healthcare Decision-Making Ecosystem Deengineering

Area of Science:

• Healthcare Management
• Decision Science
• Organizational Behavior

Background:

• Healthcare decision-making is a complex system influenced by multiple interconnected factors.
• Existing decision theories and models often overlook the intricate interplay of these elements.
• The robustness and quality of healthcare decisions are frequently challenged by inherent complexities.

Purpose of the Study:

• To introduce a novel 'de-engineering' approach for analyzing healthcare decision-making.
• To critically examine individual components within the healthcare decision-making ecosystem.
• To lay the groundwork for redesigning more effective and resilient decision-making processes.

Main Methods:

• Conceptual framework development using the 'de-engineering' notion.
• Systematic review of factors influencing healthcare decision-making (decision theories, stakeholder qualities, leadership, culture, regulations, technology).
• Critical analysis of the strengths and limitations of each constituent element.

Main Results:

• Healthcare decision-making is shaped by a dynamic interplay of diverse factors.
• Each component, while intended to improve decisions, adds layers of complexity.
• The de-engineering approach allows for a granular understanding of these influences.

Conclusions:

• De-engineering provides a structured method to dissect the complexities of healthcare decision-making.
• Understanding individual component strengths and limitations is crucial for system improvement.
• This approach facilitates the redesign of more resilient and effective healthcare decision-making ecosystems.