Data.FI solutions are designed to optimize client outcomes across the clinical cascade. Our solutions are tailored to the local context and are fit for purpose, reflecting an understanding of local epidemiology, local programming, country-specific health information system challenges and data needs, and the design preferences of different users.
HIV Epidemic Control Rooms
Data.FI stands up technology-enabled HIV Epidemic Control Rooms to support decision-makers in visualizing integrated data sets and follow a standardized approach to analyze and action data in real time for continuous program improvement. Using this approach in Nigeria, stakeholders identified a clustered epidemic. Subsequent targeted testing led to increased testing yields and a six-fold increase in total HIV-positive diagnoses over five weeks in Akwa Ibom State.
Data.FI helps countries align and optimize electronic medical records (EMRs) with treatment guidelines and reporting requirements. Optimized EMRs track clients across the 95-95-95 continuum, improve continuity of care and client-centered care, and generate data for epidemic and program performance monitoring. Clinical decision support tools are built into point-of-care EMRs. Linkages between community and facility systems facilitate outreach to improve client retention.
Data.FI harnesses information through the development of central data warehouses, where client records are matched and unified across sites and disparate systems (EMR, lab, dispensing), providing comprehensive, de-duplicated data for program management, predictive analytics, and cohort analyses. Analyses pinpoint challenges and progress across the clinical cascade, and can improve resource allocation. In South Africa, the use of centralized data led to a 35% increase in average daily case finding over a three-month period by optimizing how HIV testing resources were deployed.
Deduplication of population-level data for people living with HIV reduces fragmentation of patient records, data quality gaps, and over-reporting, and can lead to improved clinical outcomes and programmatic decisions for the HIV response.
Data.FI’s client phenotyping approach uses all available client-line, population-level, and satellite imagery data to develop localized profiles of vulnerable clients. This approach allows us to meet clients where they are with what they need, when they need it. Data, combined with descriptive analytics and machine learning techniques, allow us to predict and test differentiated care models to prevent loss to follow-up and improve rates of viral suppression.
Data.FI offers a spectrum of solutions customized to the local context and designed to maximize client retention and adherence to treatment and appointment schedules. These solutions range from enhanced digital systems to site-level workflow changes that promote collaboration and data sharing between community and clinical partners. Our solutions are built on our principles of responsible data use, client privacy, sustainability, and inclusiveness from development through implementation and use.
Assessing and Strengthening Strategic Information Capacity
It is important that local partners have the requisite capabilities in strategic information management as they transition to independently leading PEPFAR-funded programs. Data.FI supports capacity strengthening of local partners in areas critical to the epidemic response.