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GGD Rotterdam-Rijnmond as a data-driven pioneer

From pandemic to data platform

Short opening

Deloitte has been working with GGD Rotterdam-Rijnmond (GGD RR) for more than five years on a technological and organisational transformation towards data-driven working. What started with the need for reliable insights for factual decision-making during the corona crisis has grown into a long-term collaboration and a sustainable data foundation for public health in the region. This allows the GGD RR to act faster, manage better and prevent in a more targeted way, making the organisation one of the forerunners in the public health domain.

Reason and ambitions

Since the corona crisis, it has become clear how important it is to work efficiently and to have reliable insights, so that the GGD RR is prepared for sudden pressure on public healthcare in the region. This created the demand for better detection and monitoring of infection outbreaks. Another way to relieve the pressure is through prevention initiatives. With data as a foundation, projects are set up in a substantiated way. Now that the foundation is in place, the GGD RR is taking the next step: AI. Not to automate for the sake of automating, but to unburden colleagues in their daily work so that the work becomes more fun and efficient.

Solution

Deloitte works closely with the GGD RR in co-creation. As part of the data team, we organise workshops to collect needs and use cases, develop solutions and guide users through adoption. The following are the key areas where Deloitte has contributed to technological innovation within the GGD RR's growing data team:

  • Modern data platform: a central, secure platform in the cloud as the basis for all data and analytics. Specifically: implementation of Azure Cloud and a central data warehouse, with an ongoing migration to Databricks to be able to work out the increasingly complex issues.
  • Management information for teams: customised dashboards for various teams (Vaccination Advice Centre, Finance, Childcare Supervision, TB, Sexual Health etc.) so that information can be used directly for operational and administrative decision-making. In concrete terms: setting up API links with multiple external parties for automated data flows and dashboard with (near-)real-time data.
  • Logistics automation: A fully automated solution for managing vaccine supplies and supplies for the annual COVID vaccination campaign, including predictive inventory planning functionality.
  • Faster outbreak response with NAIZ (Network Analysis Infectious Diseases): an application that improves the detection and monitoring of infection outbreaks. At the beginning of 2025, NAIZ was used to quickly gain insight during a measles outbreak, allowing targeted vaccination in schools. The app is developed with Neo4j, Python and React.
  • Data-driven prevention: after skin cancer rates in the Netherlands rose to 1 in 5, the Healthy in the Sun project was founded. This project is a good example of the new working method within the GGD RR. Right at the start of the project, we collected and combined data from different sources to create a skin cancer risk factor at the district level. With this, the GGD has determined where sunscreen poles and shade facilities have the most effect and the approach is guided with live insights and behavioural measurements.
  • First AI solutions: Cooperatively developing a secure AI assistant that helps employees answer citizens' questions and find internal information. Concretely: development of RAG model + Agentic AI solution in Databricks.

Impact

The partnership has made GGD Rotterdam-Rijnmond more agile, efficient, and data-driven. This has consistently been achieved within strict legal and ethical frameworks, with continuous attention to data protection, privacy, and responsible AI deployment. This has resulted in:

  • Faster detection and response to infection outbreaks thanks to NAIZ and near-real-time data streams.
  • More efficient inventory management and operational preparation for the autumn campaign through automation, reducing manual work and reducing the risk of shortages or surpluses.
  • Better, unified information across multiple teams through dashboards, making decision-making and accountability faster and more factual.
  • Effective prevention and targeted use of resources through, for example, district-orientated risk scores and live monitoring of campaigns.
  • Increased collaboration with external partners through API links, making collaboration and data sharing smoother.• Strengthened organisational capabilities: employees have been trained in working with data and a growth path for further AI adoption (e.g. the subsidy finder) has been set out.

In short, the use of a modern data platform, smart applications and data-driven working methods has positioned GGD Rotterdam-Rijnmond as a technical forerunner within the public health domain and as a source of inspiration for other GGDs that want to realise similar transitions.

Pouya Zarbanoui

Pouya Zarbanoui

Partner
+31882881768

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