Analysis and interpretation skills to improve the quality of health data.

The scientific committee found there is a learning need about health data as follows:

- Inadequate comprehension of the intricate significance of health data quality in healthcare, encompassing its diverse components and the significant impact it holds on informed decision-making and patient care.

- Uncertainty about how to effectively execute best practices and procedures to ensure health data quality, impeding the ability to uphold precise and secure health information within healthcare settings.

- Insufficient understanding of the root causes of inaccurate data and the strategies required to enhance data accuracy and correction skills, consequently restricting the capability to improve data accuracy in the specific healthcare context.

- Limited hands-on experience in applying health data management skills, especially in the analysis of case studies, leading to difficulties in addressing real-world challenges associated with the quality and precision of health data.

- Identify the importance of health data quality in healthcare from different elements and impact on informed decision-making and patient care

- Clarify how to implement best practices and procedures to ensure the quality of health data, enabling them to maintain accurate and secure health information in healthcare settings.

- Explain the causes of inaccurate data, enhancing their ability to improve data accuracy in the given context.

- Describe the strategies to improve data accuracy and correction skills for maintaining reliable information

- Apply practical health data management skills and analyze a case study to address challenges and solutions related to the quality and accuracy of health data.