Improving the Success of Strategic Management Using Big Data

Area of Science:

• Healthcare Management
• Data Science
• Clinical Operations

Background:

• Effective strategic management is crucial for healthcare organizations, relying on goal determination, planning, and resource allocation.
• Inadequate access to timely data leads to misidentified clinical goals, inefficient resource allocation, and forecasting errors.
• Operational inefficiencies negatively impact the value stream, patient care quality, and overall strategic management.

Purpose of the Study:

• To present a novel approach utilizing big data for enhancing strategic management in clinical settings.
• To demonstrate how big data can create a competitive advantage through improved trend identification and resource allocation.

Main Methods:

• Implementation of a big data analytics framework.
• Identification of trends in clinical practice through data analysis.
• Accurate forecasting of future healthcare needs.

Main Results:

• Improved identification of clinical goals and future needs.
• Enhanced strategic allocation of resources for maximum impact.
• Increased operational efficiency and reduced waste.

Conclusions:

• A big data-driven strategy can significantly improve healthcare organizational management.
• Accurate data analysis enables better anticipation of needs and optimized resource deployment.
• This approach fosters competitive advantage and elevates the quality of patient care.