WHO, in collaboration with The Global Fund, UNAIDS and partners, has published a new technical brief on HIV data quality management and improvement . This technical brief underscores the critical role of accurate and reliable data in enhancing HIV programmes and health outcomes, while also highlighting the transformative potential of artificial intelligence in this domain.
Since 2018, WHO has been at the forefront of efforts to enhance data quality, partnering with countries and stakeholders to conduct over 40 data quality assessments across the six WHO regions. These efforts have not only bolstered programme impact but have also supported evidence-based decision-making, optimized service delivery, procurement and supply chain management. It has also enabled accurate tracking of progress and outcomes.
Enhancing programmes through improved data quality
Implementing robust data quality assessment and improvement activities is crucial for strengthening data systems and enhancing programmatic impact. WHO and partners have developed comprehensive data quality assessment tools and guidance, such as this newly published brief, the 2024 data quality assessment implementation tool for HIV treatment , or the 2024 module for assessing and strengthening the quality of viral load testing data .
"Investing in data quality is essential to ensure value for money, boost efficiency, inform data-driven decisions and amplify impact of HIV programmes," said Dr Meg Doherty, Director of WHO Department of Global HIV, Hepatitis and STIs Programmes. "This technical brief is a vital resource for national HIV programmes, implementing partners, and funders. By prioritizing data quality, learning from country experiences and embracing digital solutions, HIV programmes can achieve greater impact and sustainability."
Lessons learnt and success stories from countries
The technical brief showcases successful practices and lessons learned from countries, illustrating the importance of tailored approaches to data quality management. While every country needs to adapt the key principles outlined in the brief to their situation, the good practice examples can serve as inspiration for other countries facing similar challenges.
Embracing the future with digital solutions
Looking ahead, integration of artificial intelligence and other digital solutions is poised to further enhance data quality and utilization in a cost-effective manner. These advancements which are highlighted in the technical brief offer new avenues for improving data accuracy, reducing manual errors, and boosting the overall efficiency of health data systems. By leveraging digital innovations, HIV programmes can ensure sustainable and impactful responses.
