| EPE0991 | Digitizing the monitoring of quality improvement activities to strengthen quality of care for people living with HIV in nine sub-Saharan African countries: EGPAF’s QI-PM application | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0990 | Effect of commcare and power bi integration to unified data management system in community HIV program for impactful decision making in Ethiopia | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0989 | Streamlining data needs in PEPFAR: a DREAMS example from Zimbabwe | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0988 | HIV Info 4.0: Initial results of the implementation of a national HIV case surveillance system in Vietnam | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0987 | The value of measuring outcomes of HIV advocacy: utilising a novel and participatory approach for advocacy evaluation | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0986 | Using electronic tools for optimization of data management within the determined, resilient, empowered, AIDS free, mentored and safe program in Matabeleland South, Midlands, and Mashonaland Central Provinces of Zimbabwe, 2022 | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0985 | Applying machine learning methods to improve quality of HIV people monitoring data in Vietnam | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0984 | Machine learning for identifying treatment interruption among people living with HIV in Nigeria: challenges and lessons | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0983 | Identifying efficiency estimates and associated factors for HIV testing, treatment, and viral load suppression programs in 25 PEPFAR-supported countries, 2016-2021 | E-poster | Innovations in data collection, monitoring and evaluation |
| EPE0982 | Prediction of disengagement from HIV care using routinely collected medical record data and machine learning | E-poster | Innovations in data collection, monitoring and evaluation |