Category Archives: Artificial Intelligence

Duitsland zet AI in om gezondheidssector te versterken

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Om therapieën en zorgconcepten te verbeteren, zetten zes nieuwe onderzoeksnetwerken onder de noemer “Digitale FortschrittHubs Gesundheit” in op intelligente IT-oplossingen voor de gezondheidssector. De netwerken worden met ca. €50 miljoen door het Duitse Ministerie voor Onderwijs en Onderzoek (BMBF) gesubsidieerd. 

De Digitale FortschrittHubs Gesundheit maken deel uit van de Medizininformatik-Initiative (MII) een initiatief met als doel het Duitse zorgsysteem te digitaliseren. Het BMBF stelt hiervoor van 2018 tot 2025 in totaal zo’n €230 miljoen beschikbaar. In de ontwikkelingsfase (2018-2022) financiert de BMBF vier consortia (DIFUTURE, HiGHmed, MIRACUM en SMITH), die centra voor de integratie van medische gegevens oprichten. Aan de hand van concrete use cases tonen zij de toegevoegde waarde van hun IT-architecturen en softwareoplossingen in de praktijk aan. In de uitbreidingsfase (2023-2026) zal beginnen, zullen ook nieuwe partners de in het kader van de MII beproefde oplossingen in de dagelijkse zorg integreren.

Dankzij de extra middelen uit het economische conjunctuur- en toekomstpakket die voor de uitvoering van de Duitse AI-strategie beschikbaar zijn gesteld, is €50 miljoen extra vrijgekomen om de Digitale FortschrittHubs Gesundheit te financieren. Deze hubs ontwikkelen werken tussen 2021-2025 pilotmodellen waarin deskundigen uit de wetenschap, gezondheidszorg en IT nauw samenwerken met patiënten. Overkoepelend doel is de gegevensuitwisseling en de samenwerking tussen de verschillende onderdelen binnen het zorgsysteem te verbeteren. Het spectrum van toepassingen strekt zich uit van oncologie tot pandemie-management.

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Artificial Intelligence in Health special

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In February 2021, we launched the AI in Health Special together with the Netherlands Innovation Network. For our article in the AI in Health Special, we zoomed in on the developments in Germany. Read the full special here: Artificial Intelligence LSH_0

Comprising 8.4% (€131 billion) of Germany’s total exports, the healthcare sector makes a major contribution to the country’s strong economic position. And AI is widely seen as one of the most promising technologies for making healthcare more personalized, effcient and affordable.

Cells of the body under a microscope. Research of stem cells cellular therapy and regeneration.
3D-illustration.
Source: Shutterstock.

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Market Study AI Southern Germany

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Management Summary AI study
Artificial intelligence (AI) offers new potential for cooperation between Dutch and German companies. This market study was conducted among 22 German companies in Bavaria and Baden-Württemberg. These regions were chosen because of their economic importance to the Germany economy and the high concentration of AI companies in the field of Smart Industry.

1. What do German companies need?
The survey revealed that currently most AI use cases have already been implemented in the field of automated quality assurance1. However, providers are needed in the field of predictive maintenance and autonomous robotic systems as German companies are planning to implement these type of systems in the short or long-term (figure 2).


During the interviews German companies were asked about the obstacles and issues that exist in the field of AI. It is difficult to convince decision-makers in German companies because they tend to have a risk-shy nature and the benefits and added value of AI is often not directly clear to them.
But above all this there is a lack of data so they urgently need partners for data exchange and are looking for specialized data scientists.

2. How to pitch?
In addition to the actual AI knowledge, Dutch companies are preferred over local companies if they meet criteria such as the ability to execute and domain knowledge. When it comes to AI the providers should not only focus on mathematics but more important, they know the use case and are able to put it into production.

3. Where to find the German customer?
On the business side, platforms such as associations (bayme, IHK, VDMA or digital innovation hubs) and AI-specific and sector-specific regional conferences are currently used for AI exchange, while many national AI initiatives also promote AI exchange and networking among businesses. There are also links to European AI initiatives.
Other aspects where Dutch providers should pay attention to are especially the AI standards. Germany published a standardization roadmap on AI.

Link to the full market study (available in English): https://www.rvo.nl/onderwerpen/internationaal-ondernemen/landenoverzicht/duitsland/zakelijke-kansen#ict-sector