About This Course
Reliable and quality data are used to plan, monitor, evaluate and strengthen health system performance, as well as to make evidence-informed decisions. However, ensuring good data quality can often be an issue across large Health Information Systems, especially if users and administrators are unaware of the tools available, and the frameworks they can use.
With this self-paced Data Quality Academy, you will learn how to assess and improve data quality in DHIS2 and prepare the data for information needs. After completing this course, you’ll be able to:
- Verify data quality using the Completeness, Consistency - Time, Consistency - Data, and Outliers dashboards inside the WHO Data Quality Tool
- Create notifications using the DHIS2 Data Quality App to monitor and improve data quality
- Identify the steps to create a program rule for good data quality when importing Tracker data to Aggregate data sets
- Examine the processes and best practices associated with data capture that impact data quality, such as form design, naming conventions, and metadata, data elements value types, maintenance, and organisation units management
- Install and configure the WHO Data Quality Tool
This Academy targets advanced users of DHIS2. Prior experience with DHIS2 is required.
Course Staff
Scott Russpatrick
University of Oslo
Scott is the DHIS2 analytics product manager at the University of Oslo. His responsibilities include supporting corner case DHIS2 implementations globally, creating the software development roadmaps for data quality and analytics, and coordinating advanced DHIS2 trainings. Scott is also UiO point person for community based information systems and logistics management information systems.
Bob Pond
University of Oslo
Bob Pond is a public health physician consulting for UiO and WHO. He supported the development of WHO guidelines for analysis of routine immunization and associated DHIS2-based training materials. He also supported the development of training materials for the DHIS2 Data Quality Academy - first conducted in Rwanda in September 2018.
Norah Stoops
HISP SA
Norah Stoops has worked in routine health information systems in developing countries for the past 18 years and is passionate about the link between RHMIS and public health. Norah comes from a health background and has embraced the interface between RHMIS/Public Health and how technology can improve the decision making process of health workers and managers at all levels.
Norah has worked in a few countries in both Africa and South East Asia with substantial practical understanding of the reality of health information systems from community and facility level up to a national level. Her experience and understanding of data quality and the many factors that influence it provide the perfect background to support this Academy.
Shurajit Dutta
University of Oslo
Shurajit supports the development and implementation of training programs and material at global, regional and country levels; supporting DHIS2 in-country implementations within Indonesia, Nigeria, Solomon Islands and Vanuatu. Shurajit
also contributes guidance to the WHO digital data packages; including documentation and implementation support. Shurajit is the lead content developer for this course. His education background includes:
- Masters of Public Health from the University of Queensland
- Masters of Health Informatics from the University of Waterloo
- Postgrad certificate of Adult Learning and Development from the University of Toronto
Shurajit previously worked for the World Health Organization in the areas of surveillance, health information systems and civil registration and vital statistics.
Yury Rogachev
University of Oslo
Yury is a DHIS2 implementer at DevOtta / University of Oslo. His responsibilities include configuring tracker and aggregate DHIS2 metadata packages, supporting HISP groups and the global DHIS2 community, training and localization support.