Performance and data management strategies in healthcare

The scientific committee found there is a learning need about Performance and data management strategies in healthcare as follows:

• Lack of a comprehensive understanding of the foundational principles and concepts of health data performance management.
• Shortage of knowledge about how to enhance their ability to analyze health data effectively, identify patterns, and translate their findings into strategic recommendations for performance improvement in healthcare settings.
• Deficit the information and skills that are required to measure performance and develop Key Performance Indicators (KPIs) aligned with organizational goals in the healthcare context.
• Limited Exposure to Real-World Scenarios: There may be a gap in participants' exposure to diverse case studies or scenarios related to the quality and accuracy of health data.
• Weakness awareness about how to improve their proficiency in applying different applications for managing health data.

• Describe the articulate the foundational principles and concepts of health data performance management, fostering a comprehensive understanding of its theoretical underpinnings and practical implications in healthcare settings.
• Identify how to develop the ability to analyze health data effectively, identify patterns and trends, and utilize their findings to make strategic recommendations for improving performance in healthcare settings.
• Explain how to gain the skills to measure performance and create Key Performance Indicators (KPIs) aligned with organizational goals in healthcare.
• Discuss a different case study or scenario on the quality and accuracy of health data, showcasing a practical understanding of relevant challenges and solutions in healthcare.
• Apply the different applications for managing health data, showcasing adeptness in addressing real-world challenges in healthcare.