Together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig, we are developing a solution for data-driven decision support in the long-term treatment of stroke patients. The project is funded by the Federal Ministry of Education and Research (BMBF). The project starts on May 1, 2025, and will run for three years.
Automated AI-Driven Care Plans (Treatment Plans)
The treatment of stroke patients is typically complex and requires individualized long-term care. For DaDriv, we are developing fully automated, AI-based care plans. This enables treatment plans to be tailored to individual patients in a short amount of time. Using digital twins, the optimal health status of patients is defined and compared over time with collected data during follow-up care. This allows the effectiveness of therapeutic approaches to be monitored in real time and adjusted as needed.
We empower medical professionals to adopt a data-driven, adaptive, and personalized treatment strategy. Through the use of artificial intelligence, the creation and maintenance of care plans becomes significantly simpler and more resource-efficient. This is absolutely crucial for introducing such solutions into the healthcare market, as any additional workload in clinics or specialized practices is often unfeasible due to current staffing shortages.
Physicians can make fast, data-driven decisions and focus on core aspects of treatment, while patients are individually informed about their treatment progress and next steps.
As a result, complication rates in stroke rehabilitation can be reduced, and the quality of life for those affected can be significantly improved.
Advantages of Our AI-Driven Care Plans:
Automated and individualized therapy planning through continuous adjustment to personal health data
Automated decision support to relieve medical staff
Time savings for healthcare professionals through automated creation and monitoring of relevant health parameters
Digital twin of patients for optimal therapy management
Digital Twin of Patients for Optimal Therapy Management
Another key element of DaDriv is the concept of the digital twin – a virtual representation of the patient that compares relevant health parameters to a virtual ideal state.
Advantages of a Digital Twin:
Simulation of therapy decisions such as medication or exercises
Early detection of complications by recognizing patterns
Measurability of therapy outcomes and evaluation of the effectiveness of individual therapy modules
This enables proactive, data-driven treatment of high-risk stroke patients and improves care continuously as data quality improves.
Integration into Existing Systems and Collaboration with Research Partners
We are developing DaDriv together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig. As a technology partner, this gives us valuable insights into real-world care processes, allowing us to test and refine our solutions directly with healthcare professionals and patients on site.
The collaboration between research institutions and industry is a central goal of the BMBF and plays a key role in ensuring that innovative solutions can be directly implemented into everyday healthcare.
ACTIMI Signals for MDR IIa Certification “Out of the Box”
Thanks to our cloud-based and MDR IIa certified platform module ACTIMI Signals, we can process vital signs in compliance with CE standards, issue alerts, and prioritize patients according to risk level. This enables a rapid transition of the final product into standard care. Normally, a new product would need to be CE certified again, which typically takes two years and is very costly.
Project Timeline and Funding
The project runs from May 2025 to April 2028. During this time, we will implement various milestones, including:
Development of AI-supported care plans
Implementation of the digital twin for more precise therapy decisions
Testing phases with medical facilities to validate our approach
Evaluation of clinical acceptance and effectiveness
Outlook
DaDriv is a key step toward providing AI-based care plans for specific patient populations – in this case, stroke patients. After the project’s completion, we plan to roll out the module first across Germany, then throughout Europe. In parallel, we will continue developing our Careplan Builder to expand to additional patient populations.
Interested in collaborating or want to learn more about DaDriv?
Feel free to contact us at info@actimi.com or use the appointment booking tool on this page. We look forward to hearing from you!
Together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig, we are developing a solution for data-driven decision support in the long-term treatment of stroke patients. The project is funded by the Federal Ministry of Education and Research (BMBF). The project starts on May 1, 2025, and will run for three years.
Automated AI-Driven Care Plans (Treatment Plans)
The treatment of stroke patients is typically complex and requires individualized long-term care. For DaDriv, we are developing fully automated, AI-based care plans. This enables treatment plans to be tailored to individual patients in a short amount of time. Using digital twins, the optimal health status of patients is defined and compared over time with collected data during follow-up care. This allows the effectiveness of therapeutic approaches to be monitored in real time and adjusted as needed.
We empower medical professionals to adopt a data-driven, adaptive, and personalized treatment strategy. Through the use of artificial intelligence, the creation and maintenance of care plans becomes significantly simpler and more resource-efficient. This is absolutely crucial for introducing such solutions into the healthcare market, as any additional workload in clinics or specialized practices is often unfeasible due to current staffing shortages.
Physicians can make fast, data-driven decisions and focus on core aspects of treatment, while patients are individually informed about their treatment progress and next steps.
As a result, complication rates in stroke rehabilitation can be reduced, and the quality of life for those affected can be significantly improved.
Advantages of Our AI-Driven Care Plans:
Automated and individualized therapy planning through continuous adjustment to personal health data
Automated decision support to relieve medical staff
Time savings for healthcare professionals through automated creation and monitoring of relevant health parameters
Digital twin of patients for optimal therapy management
Digital Twin of Patients for Optimal Therapy Management
Another key element of DaDriv is the concept of the digital twin – a virtual representation of the patient that compares relevant health parameters to a virtual ideal state.
Advantages of a Digital Twin:
Simulation of therapy decisions such as medication or exercises
Early detection of complications by recognizing patterns
Measurability of therapy outcomes and evaluation of the effectiveness of individual therapy modules
This enables proactive, data-driven treatment of high-risk stroke patients and improves care continuously as data quality improves.
Integration into Existing Systems and Collaboration with Research Partners
We are developing DaDriv together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig. As a technology partner, this gives us valuable insights into real-world care processes, allowing us to test and refine our solutions directly with healthcare professionals and patients on site.
The collaboration between research institutions and industry is a central goal of the BMBF and plays a key role in ensuring that innovative solutions can be directly implemented into everyday healthcare.
ACTIMI Signals for MDR IIa Certification “Out of the Box”
Thanks to our cloud-based and MDR IIa certified platform module ACTIMI Signals, we can process vital signs in compliance with CE standards, issue alerts, and prioritize patients according to risk level. This enables a rapid transition of the final product into standard care. Normally, a new product would need to be CE certified again, which typically takes two years and is very costly.
Project Timeline and Funding
The project runs from May 2025 to April 2028. During this time, we will implement various milestones, including:
Development of AI-supported care plans
Implementation of the digital twin for more precise therapy decisions
Testing phases with medical facilities to validate our approach
Evaluation of clinical acceptance and effectiveness
Outlook
DaDriv is a key step toward providing AI-based care plans for specific patient populations – in this case, stroke patients. After the project’s completion, we plan to roll out the module first across Germany, then throughout Europe. In parallel, we will continue developing our Careplan Builder to expand to additional patient populations.
Interested in collaborating or want to learn more about DaDriv?
Feel free to contact us at info@actimi.com or use the appointment booking tool on this page. We look forward to hearing from you!
Together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig, we are developing a solution for data-driven decision support in the long-term treatment of stroke patients. The project is funded by the Federal Ministry of Education and Research (BMBF). The project starts on May 1, 2025, and will run for three years.
Automated AI-Driven Care Plans (Treatment Plans)
The treatment of stroke patients is typically complex and requires individualized long-term care. For DaDriv, we are developing fully automated, AI-based care plans. This enables treatment plans to be tailored to individual patients in a short amount of time. Using digital twins, the optimal health status of patients is defined and compared over time with collected data during follow-up care. This allows the effectiveness of therapeutic approaches to be monitored in real time and adjusted as needed.
We empower medical professionals to adopt a data-driven, adaptive, and personalized treatment strategy. Through the use of artificial intelligence, the creation and maintenance of care plans becomes significantly simpler and more resource-efficient. This is absolutely crucial for introducing such solutions into the healthcare market, as any additional workload in clinics or specialized practices is often unfeasible due to current staffing shortages.
Physicians can make fast, data-driven decisions and focus on core aspects of treatment, while patients are individually informed about their treatment progress and next steps.
As a result, complication rates in stroke rehabilitation can be reduced, and the quality of life for those affected can be significantly improved.
Advantages of Our AI-Driven Care Plans:
Automated and individualized therapy planning through continuous adjustment to personal health data
Automated decision support to relieve medical staff
Time savings for healthcare professionals through automated creation and monitoring of relevant health parameters
Digital twin of patients for optimal therapy management
Digital Twin of Patients for Optimal Therapy Management
Another key element of DaDriv is the concept of the digital twin – a virtual representation of the patient that compares relevant health parameters to a virtual ideal state.
Advantages of a Digital Twin:
Simulation of therapy decisions such as medication or exercises
Early detection of complications by recognizing patterns
Measurability of therapy outcomes and evaluation of the effectiveness of individual therapy modules
This enables proactive, data-driven treatment of high-risk stroke patients and improves care continuously as data quality improves.
Integration into Existing Systems and Collaboration with Research Partners
We are developing DaDriv together with the University of Leipzig, the German Stroke Foundation, and the Institute of General Medicine in Leipzig. As a technology partner, this gives us valuable insights into real-world care processes, allowing us to test and refine our solutions directly with healthcare professionals and patients on site.
The collaboration between research institutions and industry is a central goal of the BMBF and plays a key role in ensuring that innovative solutions can be directly implemented into everyday healthcare.
ACTIMI Signals for MDR IIa Certification “Out of the Box”
Thanks to our cloud-based and MDR IIa certified platform module ACTIMI Signals, we can process vital signs in compliance with CE standards, issue alerts, and prioritize patients according to risk level. This enables a rapid transition of the final product into standard care. Normally, a new product would need to be CE certified again, which typically takes two years and is very costly.
Project Timeline and Funding
The project runs from May 2025 to April 2028. During this time, we will implement various milestones, including:
Development of AI-supported care plans
Implementation of the digital twin for more precise therapy decisions
Testing phases with medical facilities to validate our approach
Evaluation of clinical acceptance and effectiveness
Outlook
DaDriv is a key step toward providing AI-based care plans for specific patient populations – in this case, stroke patients. After the project’s completion, we plan to roll out the module first across Germany, then throughout Europe. In parallel, we will continue developing our Careplan Builder to expand to additional patient populations.
Interested in collaborating or want to learn more about DaDriv?
Feel free to contact us at info@actimi.com or use the appointment booking tool on this page. We look forward to hearing from you!
Updated date:
Mar 24, 2025
