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

Stepping Hill Hospital Announced as SPAR…

Stepping Hill Hospital, part of Stockport NHS Foundation Trust, has replaced its bedside units with state-of-the art devices running a full range of information, engagement, communications and productivity apps, to...

DMEA 2025: Digital Health Worldwide in B…

8 - 10 April 2025, Berlin, Germany. From the AI Act, to the potential of the European Health Data Space, to the power of patient data in Scandinavia - DMEA 2025...

New System for the Early Detection of Au…

A team from the Human-Tech Institute-Universitat Politècnica de València has developed a new system for the early detection of Autism Spectrum Disorder (ASD) using virtual reality and artificial intelligence. The...

Is AI in Medicine Playing Fair?

As artificial intelligence (AI) rapidly integrates into health care, a new study by researchers at the Icahn School of Medicine at Mount Sinai reveals that all generative AI models may...

Generative AI's Diagnostic Capabili…

The use of generative AI for diagnostics has attracted attention in the medical field and many research papers have been published on this topic. However, because the evaluation criteria were...

Diagnoses and Treatment Recommendations …

A new study led by Prof. Dan Zeltzer, a digital health expert from the Berglas School of Economics at Tel Aviv University, compared the quality of diagnostic and treatment recommendations...

AI Tool can Track Effectiveness of Multi…

A new artificial intelligence (AI) tool that can help interpret and assess how well treatments are working for patients with multiple sclerosis (MS) has been developed by UCL researchers. AI uses...

Surrey and Sussex Healthcare NHS Trust g…

Surrey and Sussex Healthcare NHS Trust has marked an important milestone in connecting busy radiologists across large parts of South East England, following the successful go live of Sectra's enterprise...

DMEA 2025 Ends with Record Attendance an…

8 - 10 April 2025, Berlin, Germany. DMEA 2025 came to a successful close with record attendance and an impressive program. 20,500 participants attended Europe's leading digital health event over the...

Dr Jason Broch Joins the Highland Market…

The Highland Marketing advisory board has welcomed a new member - Dr Jason Broch, a GP and director with a strong track record in the NHS and IT-enabled transformation. Dr Broch...

AI-Driven Smart Devices to Transform Hea…

AI-powered, internet-connected medical devices have the potential to revolutionise healthcare by enabling early disease detection, real-time patient monitoring, and personalised treatments, a new study suggests. They are already saving lives...

Multi-Resistance in Bacteria Predicted b…

An AI model trained on large amounts of genetic data can predict whether bacteria will become antibiotic-resistant. The new study shows that antibiotic resistance is more easily transmitted between genetically...