Why Command & Control Decision Making Doesn’t Work [with video]

Why Command & Control Decision Making Doesn’t Work

A command-and-control decision-making model is characterized by a top-down approach, where decision-makers issue directives and expect compliance from subordinates without much discussion or input.

This approach tends to be hierarchical and focused on maintaining control, often based on a leader’s intuition or past experiences rather than on objective data. This approach is less likely to adapt to changes or incorporate feedback, as the decision-making power rests primarily with the leader.

There are several reasons why command and control decision making may not work effectively in healthcare today:

Complexity: Healthcare is a complex industry that involves many different stakeholders, including patients, healthcare providers, insurers, and regulators, which makes it difficult for any single individual or organization to have complete control over decision-making
Interdisciplinary nature: Healthcare requires a range of interdisciplinary skills and expertise, from clinical knowledge to administrative and managerial skills. Command and control decision-making typically relies on a hierarchical structure where decisions are made at the top and passed down, which may not be effective in an interdisciplinary environment
Person-centric health and care: Today, healthcare is increasingly focused on the consumer/patient, where they are empowered to be active participants in their own health and care decisions. Command and control decision-making may not align with this approach and may not effectively incorporate the consumer’s preferences and values into decision-making
Rapidly changing environment: The health and care industry is evolving rapidly, with new treatments, technologies, and regulations launched on a daily basis. Command and control decision-making may not be able to keep up with these changes or adapt quickly enough to meet new challenges

On the other hand, a data-driven decision-making culture is one in which decisions are made based on a thorough analysis of relevant data and information.

In this type of culture, decision-makers rely on data to inform their judgments, and are open to feedback and adjustment based on the insights provided by the data. A data-driven approach tends to be more collaborative, as various stakeholders provide input, and decisions are made based on objective evidence.

Overall, a data-driven culture tends to be more effective in today’s fast-paced and complex environment, as it allows organizations to make more informed decisions, adapt more quickly to changes, and engage both the care team and the consumer in the decision-making process.