Project »KISMADI«

Project description

Poorly healing wounds such as the "diabetic foot" are commonly still subjected to the same treatment. Individual parameters are usually not developed into a differentiated therapy. And the metabolism-related wound healing process receives insufficient attention. An individual, digitally available diagnosis of the wounds and the resulting treatment strategy promises faster healing success - a decentralized solution would improve the well-being of the patients, furthermore. The technology and data platform KISMADI addresses these challenges and offers a holistic approach to optimize the entire wound-management, both within the clinic and in the home environment.


Dressings are changed rather frequently in wound care as a preventive measure. Extended wearing intervals would allow the recording of various wound parameters over longer periods of time. An optimized wound management, which works decentralized while being integrated into the digital environment of the clinic, could pave the way for an efficient and targeted treatment.


Several Fraunhofer competence areas address the described situation through joint efforts in project KISMADI. Intelligent wound dressings or cuffs (Fraunhofer ISC, active dressing management/wound care, patented wound dressing) can use integrated sensors (Fraunhofer IZM, sensors and sensor integration) to record the wound condition in-situ over a relevant treatment period. The measurements are based on well-known medical gold standard parameters. Additionally, an antimicrobial refinement of the wound matrix facilitates the monitoring and the longer wearing time. Antimicrobial peptides are designed to ensure a low microbial count and thus inhibit biofilm formation in the measurement room. In addition, the conditions of controlled microbial colonization are also conducive to faster healing. (Fraunhofer IZI-BB, antimicrobial coatings, reduction of germ load, patented peptides).


The digitally collected parameters are entered automatically (online) or by digital readout (standardized interface contained in the smartphone) via a suitable workflow into established medical management systems (HL7 and follow-up standards) (Fraunhofer FIT, digital transformation, interface design, AI) and made available directly to medical staff for diagnosis or therapy monitoring. Thus, individual adjustments can be made quickly based on continuous flowing data, and individual wounds can be treated according to their condition.

Contribution to the mission of the Fraunhofer Center for Digital Diagnostics

The KISMADI project addresses the core principles of decentralized digital diagnostics by digitally integrating and processing the collected data and making it directly available in digital form through AI-optimized diagnostics in existing IT systems.

Es werden bestehende Diagnoseverfahren und sich daraus ableitende Behandlungsvorgaben nicht einfach in eine digitale Welt transformiert, sondern vielmehr werden digitale Parameter aus einer digitalen Welt heraus dieser zugeordnet und in dieser dargestellt und für eine optimierte Behandlung verfügbar gemacht. Das Projekt ist somit dem Programm »Home Monitoring und Wearables« zuzuordnen.


The permanent digital data collection and AI-supported digital feedback of parameter-based wound conditions enables timely diagnosis and treatment according to the condition. Today's time-consuming documentation of quality assurance, which mostly has to be done analogously and by hand by the care personnel, can be transferred and processed in the HIS system in a partially automated way and thus lead to the optimization of resource availability in our heavily burdened healthcare system. In addition, an anonymized database is collected, which allows the use of new methods of data analysis by means of AI systems and thus enables faster progress in the therapy of chronic wounds.