Stay Informed: Transforming Radiology with Structured Reporting and Data-Driven Approaches

Dive into our activities, projects, and product updates. Catch on the latest industry news and learn who we are as a company and as a team.

Project „KoMed“: The cognitive medical assistant for risk and complication prevention

Funded by the Ministry of Science, Research and the Arts of Baden-Wuerttemberg, Mint Medical has been supporting the Heidelberg University Hospital as a cooperation partner in an innovative project since March 2020: the development of a "cognitive medical assistant (KoMed)" that can identify a patient's individual surgical risk in advance, facilitate therapy decisions, and prevent complications.
According to the German Federal Statistical Office, approximately 17 million surgeries [1] are performed in Germany every year. While the majority of patients benefit from surgery, there are also those who suffer complications during or after the procedure. To date, risk scores have been determined according to criteria such as age, gender and previous illnesses, but these do not adequately reflect the actual risk of complications for the individual patient. In order to minimize complications and take potential risks into account before surgery, an interdisciplinary team from the Department of Anesthesiology and the Department of General, Visceral and Transplant Surgery, the Institute of Medical Biometry and Informatics, the Department of Medical Information Systems and the Center for Information and Medical Technology will train an algorithm over the next two years to evaluate a large amount of clinical data from patients using Big Data analyses. This will allow KoMed to provide informed decision support for adapted treatments by machine-learning which features are more or less likely to lead to complications such as wound infections or heart attacks. "This not only gives patients and treatment teams more certainty when making treatment decisions," explains project leader Dr. Jan Larmann, senior physician of the Department of Anesthesiology at the University Hospital, "assessing risks as accurately as possible also allows resources to be used in a targeted manner and thus also brings economic benefits."
As part of a clinical trial starting off with around 600 patients, routine data and treatment histories are initially processed in a structured and analyzable manner so that KoMed can learn to identify risks as accurately as possible. Mint Medical supports this data collection with mint Lesion™ and eCRFs (electronic case report forms) developed specifically for the project, which make the data available in a standardized and traceable form. In addition, dashboards optimized specifically for the project are set up in mint Analytics, an add-on of mint Lesion™, which can be used to monitor the status of the clinical trial in real time. With the data systematically collected through clinical routine and additional proteome analyses, the project team expects to gain a better understanding of the circumstances under which complications occur: "This will make it possible to implement targeted countermeasures in the future," asserts Dr. Larmann confidently.
Watch the video here. [Video in German]


Related Resources

Related Resources

Prof. Frauenfelder and Mr. Steffen Rupp happy about extention of mint Lesion use in University Hospital Zürich

Transforming Oncology Patient Care

Innovative Approach to Structured Routine Reporting with mint Lesion at the University Hospital Zurich Heidelberg, DE, 05/09/2023 - Mint Medical…

University Hospital Jena: Research Investigating the Viability of Accelerating Whole-Body MRI in Children and Adolescents through STIR DWI with Simultaneous Multi-Slice Excitation

This study[1] addressed the challenges of conducting WB-MRI in paediatric patients, particularly the prolonged acquisition time required for…

WUSTL: Discrepant Assessments of Progressive Disease in Clinical Trials between Routine Clinical Reads and Formal RECIST 1.1 Interpretations

In this retrospective study utilizing the mint Lesion™ software[1], researchers found that routine clinical interpretations frequently resulted in the…