For over 20 years, the Summit Institute for Development (SID) has been at the forefront of public health innovation. We participated in a global study that successfully reduced infant mortality and co-founded the Open Smart Register Platform (OpenSRP), now recognized by the WHO as a top 10 global health innovation. Now, we're taking our efforts a step further.

In collaboration with the Ministry of Health, we are leading the initiative to digitize integrated primary healthcare (ILP) in Indonesia. We use Fast Healthcare Interoperability Resources (FHIR) and the SATUSEHAT data ecosystem to connect health workers with referral systems, creating a smarter, more integrated system.

Our latest project, funded by the Australian Department of Foreign Affairs and Trade (DFAT), integrates AI deep learning neural networks to boost the system's effectiveness. The main goals are to:

1. Predict care-seeking tendencies (revisits, compliance, etc.) for individuals, families, and communities.

2. Determine the likelihood of interventions and treatment combinations that predict health outcomes.

3. Predict the performance of health workers for high-quality service delivery.

This project was implemented in three districts in West Nusa Tenggara and West Java, using supervised learning with deep neural networks as AI tools. The aim is to anticipate and close gaps in public health, facilitate technology and knowledge transfer to local authorities, and develop a digital health monitoring system. The project also focuses on enhancing the quality and coverage of reproductive, maternal, neonatal, and child healthcare, enabling data-driven decision-making at the primary level.

This project is the result of a strong consortium collaboration, led by SID, along with the Commonwealth Scientific and Industrial Research Organisation (CSIRO) from Australia, the National Research and Innovation Agency (BRIN), and Mataram University (UNRAM). This partnership is built on effective coordination and collaboration, enriched by valuable lessons from our field experiences. We realize that team synergy and active collaboration with policymakers are crucial for program sustainability. Furthermore, we see great potential for Artificial Intelligence to support frontline health workers in creating a tangible impact.

This project is designed with a strong commitment to Gender Equality, Disability, and Social Inclusion (GEDSI). By prioritizing maternal and child health, we are directly focusing on women as the primary beneficiaries. We also ensure the inclusion of people with disabilities and marginalized groups in rural areas. Through this inclusive approach, we aim not only to improve health outcomes but also to build a fair and equitable system for all. Most importantly, through this project, we aim to transform data into concrete action.