Danish Medicines Agency

Danish COVID-19 response empowered by data-driven transparency

Offerings →

AI Foundations

The Danish Medicines Agency collaborated with Halfspace to create data pipelines, providing full transparency on critical medical supplies, and enabling effective COVID-19 response across Denmark.

In Brief →

Challenge

Lack of transparency in national stock levels and critical supplies during the COVID-19 pandemic in Denmark.

Solution

Halfspace established fully automated data pipelines to collect, structure, and confirm the correctness of critical COVID-19-related data across Denmark.

Artificial Intelligence

Artificial Intelligence enabled the Danish authorities to navigate the pandemic with high precision and speed, as they had access to the necessary data and insights to make informed decisions.

Outcomes →

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European country to remove all COVID-19 restrictions.

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Daily data sources aggregated

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Data platform for full transparency

Client

→ Danish Authorities

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Project Executive

Danish Medicines Agency → Danish Authorities

Halfspace has really stood up to the task and delivered great value during this enormous challenge. Their ability to understand, analyse, develop and implement a data-driven solution has been impressive and given us great insight in vast amounts of data across regions in Denmark.

The background →

Data transparency is key when fighting a pandemic

During the COVID-19 pandemic, a part of the Danish authorities was facing a desperate need for expert insight, guidance and hands-on development to help collect, structure and confirm the correctness of critical data across Denmark. There was a lack of transparency in national stock levels and supplies of essential medical resources, which posed significant challenges in minimising potential disruptions caused by the outbreak.

To address this urgent requirement, the Danish authorities partnered with the Halfspace expert team. Halfspace established fully automated ETL (Extract, Transform, Load) pipelines to aggregate data from over 100 daily sources. They orchestrated this using Azure Data Factory and Apache Spark in Databricks, enabling the authorities to access comprehensive COVID-19-related data across the entire country.

As a result of this collaboration, the Danish Medicines Agency now has full transparency into their supply chains and stock levels of critical medical equipment. This provides them the ability to navigate future outbreaks with high precision and speed, ensuring they can make well-informed decisions to safeguard the availability of vital resources and ultimately save lives.

Developing robust data platforms at scale

Good to keep in mind →

Comprehensive data integration

Remember the importance of establishing robust data integration capabilities that can ingest, cleanse, and harmonise information from diverse systems and sources. Having this centralised, high-quality data foundation was essential for providing the Danish authorities with a transparent, real-time view of their critical supplies.

Empowered decision-making

Data-driven platforms can empower organisations to navigate complex, rapidly evolving situations with agility and precision. Access to trusted, data-driven insights is crucial for public sector entities tasked with protecting public health and safety.

Scalable, cloud-based infrastructure

The use of Azure Data Factory and Apache Spark in Databricks to power the data pipelines highlights the value of cloud-based, scalable data infrastructure. These modern, enterprise-grade platforms allow the deployment of robust, high-performance data solutions that can ingest and process large volumes of information. The flexibility and scalability of the cloud-based architecture were instrumental in supporting the Danish authorities' evolving data and analytics needs during the pandemic.