Background Maintaining good quality of healthcare data at various levels is a critical
challenge in developing countries. The barriers to healthcare data quality remain largely …

Background: The Government of Ethiopia, together with its partners, has made significant
progress over the years in the standardization and implementation of health information …

Background Data quality is a multidimensional term that includes accuracy, precision,
completeness, timeliness, integrity, and confidentiality. The quality of data generated by a …

Background Poor quality routine data contributes to poor decision-making, inefficient
resource allocation, loss of confidence in the health system, and may threaten the validity of …

Background: A well designed Health management information system is necessary for
improving health service effectiveness and efficiency. It helps to produce quality information …

Background: Effective and efficient health care services need evidence-based decisions,
and these decisions should rely on information from high-quality data. However, despite a …

Quality data for evidence-based decision making become a growing concern globally.
Available information needs to be disseminated on time and used for decision making …

Background Despite the improvements in the knowledge and understanding of the role of
health information in the global health system, the quality of data generated by a routine …

Introduction: An objective of the Information Revolution Roadmap of Ethiopia's Health Sector
Transformation Plan was to improve health management information system (HMIS) data …

Background A well designed Health management information system is necessary for
improving health service effectiveness and efficiency. It also helps to produce quality …