Digital Health

Artificial Intelligence, networking, and simulation – Fraunhofer IESE is shaping the digital medicine of the future

Transition in the healthcare sector

The digital transformation is having a lasting impact on the healthcare sector. Digital health is creating promising opportunities to overcome complex challenges in this sector. In addition to increasing cost pressure and a lack of staff, the demographic change is also becoming a problem.


Digital health solutions

We research, develop, and implement software-based innovations. In this way, we ensure the quality and efficiency of a healthcare system under pressure.

With Digital Ecosystems, for example, we contribute to improving cross-sector communication between health insurance companies and service providers. Digital Twins are shaping the areas of diagnostics and therapy development or promoting the individualized production of medical products. By assuring the safety of Artificial Intelligence (AI), we support the use of innovative technologies in critical areas.

Digital Health 2033:

Trends, Scenarios and Theses 

The whitepaper on the Foresight process to identify the key trends in the field of “Digital Health” and derive corresponding market and research requirements from them. [in German only]


Download whitepaper [PDF in German]

How can data be networked and used optimally?

KI, Medizin, Gesundheitswesen, health, pharma
Using Artificial Intelligence efficiently.

Data set the pace: The basis for tomorrow’s medicine

Smartphones and portable sensors (so-called “wearables”) have become an integral part of our everyday lives. Along with numerous other sources, they provide valuable health data, which form the basis of digital health and can offer relevant added value for medical progress. This includes, for example, data from imaging techniques and routine data recorded electronically in clinical practice.

In order to use the potential of data efficiently, important prerequisites must be observed. Privacy must be protected when collecting and processing data by complying with applicable data protection regulations. At the same time, it is crucial to consider interoperability standards in order to be able to build a functioning infrastructure with health data. Finally, it is important to create trust in the results of data analyses and to strengthen competencies in the use of health data.

This is exactly where we support you with our expertise and technical solutions in the field of data science!


Dependable AI: Dependable use of Artificial Intelligence and data

The prerequisite for the use of Artificial Intelligence is the availability of health data. The areas of application range from drug development to precision medicine. The advantages are obvious: AI is extremely cost-effective, is always ready to use, and can process data volumes that far exceed human comprehension. And yet it is not infallible.

Several factors pose a challenge when using AI: a distorted or missing data basis, the analysis methods used, and a lack of competence in the use of health data. In digital health, wrong decisions are associated with considerable risks. To minimize the risk to life and limb, it is important to provide adequate safety assurance for AI systems. This is exactly how we envision tomorrow’s medicine: digital, networked, and safe.

We design dependable AI systems for critical areas of application and pass on our expertise in training courses.


Further information on Artificial Intelligence and data management

health, medizin, parhma, gesundheitswesen, gesundheit, digital health
Networking health data.

Digital health made possible through networked structures

A Digital Ecosystem in the healthcare sector links digital technologies and data. It comprises several components such as electronic patient records, telemedicine, health apps, wearables, and other digital healthcare solutions. In a healthcare ecosystem, synergy effects are generated from which all participants within the system benefit.

The aim is to improve the provision of healthcare and facilitate access to healthcare services. Platforms simplify the independent management of one’s own health data or communication with medical professionals. At the same time, personalized information on health status fosters prevention. Cross-sector communication between hospitals, pharmacies, health insurance companies, and the medical profession is also improved.
However, a digital healthcare ecosystem can also pose challenges. In addition to ensuring interoperability between different systems, the privacy and security of health data must also be protected.

We provide support in the careful planning, implementation, and regulation of Digital Ecosystems. This is the only way to maximize the benefits of networked structures and minimize the risks.


Read more about our solutions for Digital Ecosystems and data analytics

References: Digital health ecosystems and AI


The “Trusted Health Ecosystem”
as a Digital Ecosystem for  
healthcare services in Europe


Web-based information system for
real-time viewing of hospitals’ readiness
for admitting patients


Ecosystem for health data
in rural areas for faster


Interoperable software architectures
and interfaces to enable systems to
interact and exchange data 


Automated data analysis with AI
in the manufacturing of mRNA-based
medical products 


Tentative diagnoses for rare
diseases through Artificial

How to digitalize personalized medicine?

Digitaler Zwilling, Patientenzwilling, Health, Gesundheit
© Fraunhofer IESE
Digital patient twin

Digital Twins in medicine: a virtual representation for personalized treatment

In the context of Industry 4.0, Digital Twins have already become established very successfully. What is new is their use in the healthcare sector with the aim of making personalized medicine more accessible.

Persons affected by diseases react differently to these diseases as well as to therapies. This can lead to misdiagnoses, side effects, or allergic reactions to a particular medication. The digital patient twin is a virtual representation of a sick person, based on individual health data. A Digital Twin can represent a person completely or only certain body parts and organ systems. This innovative approach has the potential to speed up early diagnosis as well as the development and testing of medicines. However, it is important to ensure that the confidential medical data of patients is protected.

Manufacturing of medical products in flexible production processes

Personalized medical products are undergoing dynamic development in clinical research, translation, and application. Innovative technologies are required to optimize the manufacturing of novel medicines to high standards. In addition to the digital patient twin, production processes and services can also be simulated in order to predict their behavior.

The high number of variants poses challenges for production systems. The manufacturing of innovative medical products currently consists of many manual sub-processes and is therefore very cost-intensive. Corresponding products are only available to a limited extent. A virtual test environment allows the development and production of active ingredients for medical products or vaccines to be automated. In addition, production can be modularized so that products can be manufactured cost-effectively and flexibly to “lot size 1”. In addition to compliance with high safety requirements for pharmaceutical products, quality assurance cases can also be recorded seamlessly across manufacturers.

We implement Digital Twins using, for example, Eclipse BaSyx and FERAL. We also use  dependable Artificial Intelligence to promote personalized medicine and digitalization in the healthcare sector. Talk to us!


Further information about our offers for simulations and virtual representations

References: Digital Twins in healthcare


Making the production of medicines
flexible and customizable with  
Asset Administration Shells 


Automated “Advanced Medical
Therapeutical Products” (ATMP) using
AI and Asset Administration Shells


Digitally supported production technologies
for the fast and reliable manufacturing
of mRNA-based medical products 

Which security aspects are essential when handling data?

Sicherheit, Health, gesundheitswesen, medizin, gesundheitsdaten
Managing health data securely.

Data sovereignty and data protection: retaining control and preventing misuse

Data and the exchange of data between platform, systems, and medical devices are crucial for digitalization in the healthcare sector. Confidential medical information is particularly sensitive and must not be compromised or even manipulated. It is therefore important to anonymize and protect health data in order to safeguard the privacy of affected individuals.

With our solutions, we support you in retaining and controlling data sovereignty. We also develop comprehensive security concepts to ensure the protection of confidential health data.


Security and safety: protection against unauthorized access by third parties

Targeted diagnostics and therapies are increasingly made possible by networked medical devices. This infrastructure must be protected to prevent unauthorized access, because cyber-attacks can also have considerable consequences for the health and lives of those affected.

Accordingly, regulation in this area is currently undergoing major changes: The EU’s NIS2 directive sets new standards in terms of cyber security. The area of medical care structures, manufacturers of medical supplies, and medical devices is classified as critical. Supply chains are also being considered and evaluated in terms of cyber security.

We contribute our competencies to make data platforms, systems, applications, and medical devices safe by design from the very beginning. With our concepts, we implement cyber security as early as the systems engineering phase. At the same time, we incorporate our safety engineering expertise. In this way, we ensure that the risk for life and limb does not exceed an acceptable level.


Our services in the area of security and safety

References: Security and protection of data and systems


IT security audits for the
review and evaluation of
cyber security


Detection and tracking of  
vulnerabilities for the


Data protection and informational
self-determination in the use of  
fitness trackers in health protection 

We support digital health

With our technological and methodological know-how, we can provide you with the best possible support in almost all aspects of this field. With our specialist departments, we cover a broad spectrum of knowledge and always find a suitable solution – also with the help of the large Fraunhofer network!


Who do we support?

We collaborate with health insurance companies and all service providers in the healthcare sector. We also support pharmaceutical companies in the production of medical products and contribute our know-how to medical technology.


Talk to us! We would be happy to discuss your requirements in a meeting at no obligation to you.


Contact us!


We will be happy to discuss
your challenge on the phone
or in person.

Further content on the topic of digital health

Morgen Denker Podcast [in German]

Transition in the healthcare sector

Rolf van Lengen (Manager
Research Program “Digital Healthcare”)
presents solutions and projects.

Morgen Denker Podcast [in German]

AI as a beacon of hope in medicine

Patricia Kelbert (data scientist) explains
the added value that AI brings to medicine.

Morgen Denker Podcast [in German]

Digital health

Dr. Theresa Ahrens (Department Head Digital
Health Engineering) explains the innovative
solutions that IESE is working on.