Medolution Medical Care Evolution


Medolution’s vision is that the cost of healthcare can be reduced while improving the quality of life of patients. The project aims at creating smart environments that integrate professional and user created data. This leads to relevant information to support patients and healthcare professionals in their decision making on diagnosis, treatment and further monitoring; from reactive to preventive. Medolution builds upon the results of the Medusa project that provides collaborative cloud access to medical information relevant in critical situations. Medolution, adds long -term monitoring and decision support. The Medusa topics, security, latency and collaboration, still need innovation in Medolution.

Medolution’s main technical challenges are: to deal with the enormous amounts of heterogeneous data and data sources, to integrate and combine data, and to extract relevant information from them. Medolution must do this while ensuring safety and reliability of the devices in the patient’s environment that produces and consumes this data as well as ensuring security and privacy. Medolution addresses the challenges by realising big healthcare data processing and analysis in the cloud leading to:

  • Early and pro-active decision support for patients and healthcare professionals in the form of timely meaningful alerts and notifications
  • The ability to generate healthcare predictions based on continuous trend analysis
  • The ability to share healthcare data between devices and persons

Medolution supports the European healthcare industry, software vendors and service providers by turning innovative possibilities offered by advanced analysis of big healthcare data into new, commercial service concepts and products.


External Leader

Frank van der Linden (Philips Healthcare, Netherlands)
Adaptive Pump Speed Algorithms to Improve Exercise Capacity in Patients Supported with a Left-Ventricular Assist Device

Thomas Schmidt, Nils Reiss, Ezin Deniz, Christina Feldmann, Andreas Hein, Jan-Dirk Hoffmann, Jenny Inge Röbesaat, Jan Dieter Schmitto, Detlev Willemsen, Frerk Müller-von Aschwege; Health Informatics Meets eHealth: Studies in Health Technology and Informatics; 0Mai / 2017

New concepts for remote monitoring and flow control in left ventricular assist device patients - The Medolution project

Nils Reiss, Thomas Schmidt, Jan-Dirk Hoffmann, Detlev Willemsen, Frerk Müller-von Aschwege, Jenny Inge Röbesaat, Jan Dieter Schmitto, Christina Feldmann; European Journal of Heart Failure; 2017

Telemonitoring and Medical Care of Heart Failure Patients Supported by Left Ventricular Assist Devices - The Medolution Project.

Nils Reiss, Thomas Schmidt, Frerk Müller-von Aschwege, Wolfgang Thronicke, Jan-Dirk Hoffmann, Jenny Inge Röbesaat, Ezin Deniz, Andreas Hein, Heiko Krumm, Franz-Josef Stewing, Detlev Willemsen, Jan Dieter Schmitto, Christina Feldmann; Studies in Health Technology and Informatics: Volume 236: Health Informatics Meets eHealth; 0Mai / 2017

Analysis of LVAD log files for the early detection of pump thrombosis

J. I. Röbesaat, F. M. v. Aschwege, N. Reiss, T. Schmidt, C. Feldmann, E. Deniz, J. D. Schmitto, A. Hein; 2017 IEEE Symposium on Computers and Communications (ISCC); 0July / 2017

Advanced telemonitoring of Left Ventricular Assist Device patients for the early detection of thrombosis

Jenny I. Glitza,Frerk Müller-von Aschwege,Marco Eichelberg,Nils Reiss,Thomas Schmidt,Christina Feldmann,Regina Wendl,Jan D. Schmitto,Andreas Hein; Journal of Network and Computer Applications; 2018

Development of New Algorithms for Early Detection of Pump Thrombosis by Analysis of HeartWare LVAD Log Files

Nils Reiss,Frerk Müller-von Aschwege,Thomas Schmidt,Christina Feldmann,Jan Schmitto,Andreas Hein,Jenny Glitza; The Journal of Heart and Lung Transplantation; 2018

Development of a Mobile Functional Near-Infrared Spectroscopy Prototype

Volkening, Nils and Unni, Anirudh and Rieger, Jochem W. and Fudickar, Sebastian and Hein, Andreas; Internet of Vehicles. Technologies and Services Towards Smart City; 2018

Telemedical concepts and developments for an effective outpatient management in LVAD patients.

Reiss, N.; Schmidt, T.; Hoffmann, J.-D.; Glitza, J.; Thronicke, W.; Wendl, R.; Feldmann, C.; Schmitto, J.; Mueller-von Aschwege, F.; Clin Res Cardiol; 2019

Analysis of LVAD Log Files considering the circadian Rhythm for the early Thrombosis Detection

J. I. Glitza, F. Müller-von Aschwege, C. Feldmann, R. Wendl, J. D. Schmitto, N. Reiss, T. Schmidt, A. Hein; The International Journal of Artificial Organs; 0August / 2019

Improved aftercare in LVAD patients: Development and feasibility of a smartphone application as a first step for telemonitoring

Schmidt, Thomas and Mewes, Philipp and Hoffmann, Jan-Dirk and Müller-von Aschwege, Frerk and Glitza, Jenny I and Schmitto, Jan D and Schulte-Eistrup, Sebastian and Sindermann, Jürgen R and Reiss, Nils; Artificial Organs; 2020

UPEC - Université Paris-Est Créteil Val de Marne
University of Amsterdam
SRDC Software Research & Development and Consultancy Ltd.
ARGEDOR Information Technologies Ltd.
Norima Consulting Inc.
Atos IT Solutions and Services GmbH
Institut Mines-Telecom
TU Dortmund
Schüchtermann-Schiller’sche Kliniken Bad Rothenfelde GmbH & Co. KG
Medizinische Hochschule Hannover


Start: 31.08.2015
End: 30.12.2018

Source of funding


FKZ: 01IS15032D

Related projects


Open Source Ambient Intelligence


Intelligent Healthcare Monitoring based on Semantic Interoperability Platform (sorry - only available in German)