SİNA is one of the world’s largest-scale health business intelligence applications with over 200 TB of data under management.
As a BI platform that serves 500,000 users simultaneously and collects real-time data from healthcare facilities across the entire country, it is unparalleled in both scale and scope. the platform offers not only reporting but also predictive analytics.
It provides clinical decision support ranging from emergency department visit forecasting to calculating mortality risk based on comorbidities.
Thanks to the JAS AI assistant, healthcare professionals without technical expertise can derive value directly from the data by asking questions in natural language and generating automatic visualizations.
As an in-house project, it responds very quickly to the MoH's changing needs. During the pandemic, real-time monitoring dashboards were deployed within a week and provided data support for critical decisions, from vaccine prioritization to drug efficacy analysis.

SİNA has been an indispensable part of Türkiye’s e-health ecosystem since 2018. Having moved beyond the project phase, it has become a cornerstone of the digital health transformation. SİNA analyzes data from all stakeholders, it is continuously updated and actively conducts real-time monitoring, and evidence-based policy development processes through its big data infrastructure. SİNA’s success model provides a reference framework that can be adapted for other public institutions as well.

In the development process led by the MoH, public institutions (hospitals, family physicians), universities (scientific research), and technology providers (open-source coding) are collaborating. This multi-stakeholder structure is critical for establishing inclusive ICT systems by ensuring that data is collected in a single central location. Through these partnerships, data diversity has been ensured, and the financial and technological sustainability of the system has been secured.

Users benefit from SİNA’s innovative technology in the following ways:
Public Officials and Decision-Makers develop data-driven strategies and manage resources efficiently.
Healthcare Professionals monitor patient outcomes with real-time analysis, make predictions, and improve service quality.
Citizens (Beneficiaries) receive more effective healthcare and gain access to early diagnosis opportunities.
Academics (Beneficiaries) utilize outputs based on anonymized datasets for scientific research.

SİNA’s main objective is to improve the effectiveness of the healthcare system and public health through data-driven policies. The system employs its own statistical modeling methods for impact measurement. With SİNA, health data has become more accessible, and many healthcare units have begun generating and visualizing their own reports. During the pandemic, the platform provided real-time case tracking dashboards to all healthcare institutions, ensured the prioritized vaccination of high-risk citizens through a vaccination prioritization algorithm. Also, budget optimization was achieved through the proper management of financial resources, and access to services was facilitated by directing resources to the areas where they were needed.

The greatest challenge encountered during the development process was the issue of user adaptation during the transition from previous BI tools. This challenge was overcome through a creative approach: at the end of 2017, a prize-winning hackathon was organized—a format not yet widespread in Turkey—and the most frequently used applications were assigned to groups, with participants expected to redesign these applications on SİNA. This approach not only ensured employee adoption of the platform but also completed the migration of the most critical reports. To integrate and maintain the quality of massive, complex datasets from various organizations, strict data privacy policies and access control mechanisms were implemented.

SİNA’s sustainable success is built on a robust institutional framework that is fully aligned with Turkey’s digital health strategies and policy priorities. Financial sustainability is ensured through regular budget allocations; the process is supported by clear governance and oversight mechanisms covering data security and ethical use. The project’s technological backbone is continuously updated thanks to the expertise of specialized teams from diverse disciplines such as medicine, statistics, and software engineering. A leadership culture that minimizes risks while remaining open to innovation has ensured that the system does not remain merely a project but serves as the cornerstone of the digital health transformation.

1) In large-scale public BI projects, user adoption comes before technology. Participatory methods, such as hackathons, are far more effective than traditional training.
2) Domestic production provides a critical advantage in responding to the rapidly changing needs of public institutions—the pandemic has proven this.
3) Data democratization is possible not only by providing tools but also through continuous training and encouragement.
4) For data sovereignty in GenAI integration, on-premise model support is indispensable, especially for sensitive health data.
5) During crises (such as a pandemic), an established data infrastructure is lifesaving.

SINA, a comprehensive data analysis system developed on the domestic business intelligence platform TURBOARD and continuously improved since its launch in 2018, successfully passed its major test during the COVID-19 pandemic, proving its effectiveness. By providing real-time tracking screens to all of Türkiye just one week after the first case was detected, it concretely demonstrated the value of pre-established data infrastructure during times of crisis. This experience proved that public health business intelligence platforms can be positioned not only as reporting tools but also as active crisis management tools.