New Neurological Findings and Documentation System Developed at Göttingen University

MEDNOVO Medical Software Solutions GmbHAn innovative neurological findings and documentation system named "NEMESYS" has been developed in the Department of Clinical Neurophysiology at Göttingen University School of Medicine. As regards content NEMESYS was developed in the Department of Clinical Neurophysiology at the University Hospital Göttingen (UKG) by Professor (Prof. Dr.) W. Paulus, Director of the Department of Clinical Neurophysiology, and private lecturer (Priv. Doz. Dr. med.) F. Tergau, St. Bernward Hospital in Hildesheim, formerly Department of Clinical Neurophysiology of the UKG. Technically NEMESYS was developed by Dipl. Phys. J. Lessing (Faculty of Physics).

From the left: Dipl.-Ing. Markus Mladek (MBM), Michael Heinlein (Managing Director  MEDNOVO Medical Software Solutions GmbH), Dr. Hans-Joachim Conrad (Executive Board of Management and Administration of the Göttingen University School of Medicine), Prof. Dr. Walter Paulus (Director of the Department of Clinical Neurophysiology)
From the left (Photo: umg): Dipl.-Ing. Markus Mladek (MBM), Michael Heinlein (Managing Director MEDNOVO Medical Software Solutions GmbH), Dr. Hans-Joachim Conrad (Executive Board of Management and Administration of the Göttingen University School of Medicine), Prof. Dr. Walter Paulus (Director of the Department of Clinical Neurophysiology).

MBM ScienceBridge GmbH, the technology transfer organization of Göttingen University, has been able to win the company MEDNOVO Medical software Solutions GmbH from Berlin as a licence partner for NEMESYS. "This partnership of science and economy again is a good example how our inhouse innovations are financially sensibly transformed into a marketable product for the single scientist and for Göttingen University", says Dr. Hans-Joachim Conrad, Executive Board of Management and Administration of the Göttingen University School of Medicine. The two partners have now signed a cooperation agreement.

NEMESYS is an absolute novelty in its function and its applicability in neurology: NEMESYS runs as a client-server-application on a database. By digital connection to neurological derivation devices (e.g. EEG, EMG), it is possible for the first time to work on different networked workplaces. Moreover, NEMESYS simplifies and standardizes the findings documentation in the area of Clinical Neurophysiology. The new system provides finding modules for the essential neurodiagnostical examination proceedings like EEG, EMG, EP, transcranial magnet stimulation, doppler-/ duplex sonography and EEG monitoring.

NEMESYS was certified by the German Society for Clinical Neurophysiology and Functional Imaging (DGKN). The extent of documentation as well as structure and classification of the findings modules were developed in arrangement with the DGKN and geared at international documentation standards.

Professor Walter Paulus, Director of the Department of Clinical Neurophysiology at the UKG: "We are pleased to have found an innovative partner like the company MEDNOVO, who will not only market but also enhance NEMESYS."

MEDNOVO offers the system NEMESYS as an additional module for its product family MediColor, an imaging and findings documentation system in functional diagnostics. Michael Heinlein, Managing Director of MEDNOVO Medical Software Solutions GmbH: "With the acquisition of NEMESYS we can complement the content of our system MediColor very well. In the near future, we will offer MediColor-Nemesys not only in Germany but also internationally."

NEMESYS is already in use at the University Hospital of the Georg-August-University Göttingen, at the Hospital Bremen-East, and at the Hospital of the Johannes-Gutenberg-University Mainz.

About the Department of Clinical Neurophysiology at Göttingen University
The main emphasis of the research at the Department of Clinical Neurophysiology at Göttingen University is focused on the field of epilepsy and Morbus Parkinson as well as on the further development of the methods documented in NEMESYS. Moreover, an English NEMESYS version shall carry this documentation standard also to the Anglo-Saxon countries. For further information, please visit www.neurologie.uni-goettingen.de

About MBM Science Bridge GmbH
The MBM Science Bridge GmbH is the technology transfer organization of the University and operates as a mediator between inventors and industry partners. For further information, please visit www.sciencebridge.de

About MEDNOVO Medical Software Solutions GmbH
The MEDNOVO Medical Software Solutions GmbH is specialized in the de-velopment of medical documentation systems and the connection and integration of medical devices with various hospital information systems (HIS). For further information, please visit www.mednovo.de

Most Popular Now

AI-Powered CRISPR could Lead to Faster G…

Stanford Medicine researchers have developed an artificial intelligence (AI) tool to help scientists better plan gene-editing experiments. The technology, CRISPR-GPT, acts as a gene-editing “copilot” supported by AI to help...

Groundbreaking AI Aims to Speed Lifesavi…

To solve a problem, we have to see it clearly. Whether it’s an infection by a novel virus or memory-stealing plaques forming in the brains of Alzheimer’s patients, visualizing disease processes...

AI Spots Hidden Signs of Depression in S…

Depression is one of the most common mental health challenges, but its early signs are often overlooked. It is often linked to reduced facial expressivity. However, whether mild depression or...

ChatGPT 4o Therapeutic Chatbot 'Ama…

One of the first randomized controlled trials assessing the effectiveness of a large language model (LLM) chatbot 'Amanda' for relationship support shows that a single session of chatbot therapy...

AI Tools Help Predict Severe Asthma Risk…

Mayo Clinic researchers have developed artificial intelligence (AI) tools that help identify which children with asthma face the highest risk of serious asthma exacerbation and acute respiratory infections. The study...

AI Model Forecasts Disease Risk Decades …

Imagine a future where your medical history could help predict what health conditions you might face in the next two decades. Researchers have developed a generative AI model that uses...

AI Distinguishes Glioblastoma from Look-…

A Harvard Medical School–led research team has developed an AI tool that can reliably tell apart two look-alike cancers found in the brain but with different origins, behaviors, and treatments. The...

AI Model Indicates Four out of Ten Breas…

A project at Lund University in Sweden has trained an AI model to identify breast cancer patients who could be spared from axillary surgery. The model analyses previously unutilised information...

Smart Device Uses AI and Bioelectronics …

As a wound heals, it goes through several stages: clotting to stop bleeding, immune system response, scabbing, and scarring. A wearable device called "a-Heal," designed by engineers at the University...

Overcoming the AI Applicability Crisis a…

Opinion Article by Harry Lykostratis, Chief Executive, Open Medical. The government’s 10 Year Health Plan makes a lot of the potential of AI-software to support clinical decision making, improve productivity, and...

Dartford and Gravesham Implements Clinis…

Dartford and Gravesham NHS Trust has taken a significant step towards a more digital future by rolling out electronic test ordering using Clinisys ICE. The trust deployed the order communications...