Medical care generates a lot of data that is collected during the treatment of patients and used for prognoses and diagnoses. Patients' data is also needed in research in order to carry out and evaluate new therapies and research methods. The Medical Informatics Initiative (MI-I), which was founded by the German Federal Ministry of Education and Research, creates the conditions for research and medical care to move closer together. To this end, four projects have been launched as part of MI-I: DIFUTURE, HiGHmed, MIRACUM and SMITH. Within each project, specific use cases are addressed in order to demonstrate and develop the possibilities of modern digital services and infrastructures in the healthcare sector. RWTH Aachen University is part of the SMITH project.
Within the SMITH project, innovative IT solutions are being developed to improve medical patient care. With the help of data integration centres (DIZ) and a marketplace developed in the project, the interoperable use of data and patient-oriented research is made possible. Three use cases will be used to demonstrate the added value of this interoperability of data. In the first methodological use case “Phenotype pipeline” (PheP), innovative data analytical methods and tools are developed, which make medical data accessible.
Two clinical use cases are used to demonstrate the approach underlying the main objective.
In the use case ASIC (Algorithmic Surveillance of ICU Patients), the data generated in intensive care units is continuously analysed in order to automatically monitor the condition of patients to enable rapid therapeutic intervention. The main focus is on Acute Respiratory Distress Syndrome (ARDS). ARDS has a very high mortality rate, which is mainly due to the fact that the disease is often detected too late. Automated monitoring is intended to enable early diagnosis and to consequently improve patient treatment.
The clinical use case HELP focuses on the goal-oriented use of antibiotics to combat bacterial infections at an early stage. Innovative technologies will be used to support infectious diseases in normal and intensive care units.
The work at the chair Informatik 11 takes place within the use case ASIC. Here you can find advertised theses.
Contact person: Simon Fonck, M.Sc. RWTH
Publications produced as part of the SMITH project:
@article { FFN+23, author = { Fonck, Simon Ansgar Martin and Fritsch, Sebastian and Nottenk{\"a}mper, Gina and Stollenwerk, André }, title = { Implementation of ResNet-50 for the Detection of ARDS in Chest X-Rays using transfer-learning }, journal = { Proceedings on automation in medical engineering }, publisher = { Infinite Science GmbH }, pages = { 2 Seiten }, volume = { 2 }, number = { 1 }, year = { 2023 }, address = { L{\"u}beck }, organization = { 16. Interdisziplin{\"a}res Symposium AUTOMED - Automatisierungstechnische Verfahren f{\"u}r die Medizintechnik, Gie{\ss}en (Germany), 2023-03-30 - 2023-03-31 }, doi = { 10.18154/RWTH-2023-03291 }, typ = { PUB:(DE-HGF)16 }, reportid = { RWTH-2023-03291 }, cin = { 122810 / 120000533000-3 / 931210 }, url = { https://doi.org/10.18416/AUTOMED.2023 }, }
@article { FFK+21, author = { Fonck, Simon and Fritsch, Sebastian Johannes and Kowalewski, Stefan and Hensen, Raimund and Stollenwerk, André }, title = { Algorithmic distinction of ARDS and Heart Failure in ICU data from medical embedded systems by using a computer model }, journal = { IFAC-PapersOnLine }, publisher = { Elsevier }, pages = { 135-140 }, volume = { 54 }, number = { 4 }, year = { 2021 }, address = { Frankfurt ; M{\"u}nchen [u.a.] }, issn = { 2405-8963 }, organization = { 4. IFAC Conference on Embedded Systems, Computational Intelligence and Telematics in Control, Valenciennes (France), 2021-07-05 - 2021-07-07 }, doi = { 10.1016/j.ifacol.2021.10.023 }, typ = { PUB:(DE-HGF)16 }, reportid = { RWTH-2021-10204 }, cin = { 122810 / 120000533000-2533000-2 }, url = { http://publications.rwth-aachen.de/record/834987/files/834987.pdf }, i11key = { SMITH - Medizininformatik-Konsortium (BMBF-01ZZ1803K) }, }
@article { MBF+21, author = { Marx, Gernot and Bickenbach, Johannes and Fritsch, Sebastian Johannes and Kunze, Julian Benedict and Maassen, Oliver and Deffge, Saskia and Kistermann, Jennifer and Haferkamp, Silke Dorothee and Lutz, Irina and Voellm, Nora Kristiana and Lowitsch, Volker and Polzin, Richard and Sharafutdinov, Konstantin and Mayer, Hannah and Kuepfer, Lars and Burghaus, Rolf and Schmitt, Walter and Lippert, Joerg and Riedel, Morris and Barakat, Chadi and Stollenwerk, André and Fonck, Simon and Putensen, Christian and Zenker, Sven and Erdfelder, Felix and Grigutsch, Daniel and Kram, Rainer and Beyer, Susanne and Kampe, Knut and Gewehr, Jan Erik and Salman, Friederike and Juers, Patrick and Kluge, Stefan and Tiller, Daniel and Wisotzki, Emilia and Gross, Sebastian and Homeister, Lorenz and Bloos, Frank and Scherag, André and Ammon, Danny and Mueller, Susanne and Palm, Julia and Simon, Philipp and Jahn, Nora and Loeffler, Markus and Wendt, Thomas and Schuerholz, Tobias and Groeber, Petra and Schuppert, Andreas }, title = { Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC) : protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy }, journal = { BMJ open }, publisher = { BMJ Publishing Group }, pages = { 1-7 }, volume = { 11 }, number = { 4 }, year = { 2021 }, address = { London }, issn = { 2044-6055 }, doi = { 10.1136/bmjopen-2020-045589 }, typ = { PUB:(DE-HGF)16 }, reportid = { RWTH-2021-03718 }, cin = { 122810 / 120000533000-39600108-1530000-4530000-7533000-2 }, url = { http://publications.rwth-aachen.de/record/817136/files/817136.pdf }, i11key = { SMITH - Medizininformatik-Konsortium (BMBF-01ZZ1803K) }, }
@inproceedings { FD17, author = { Fonck, Simon Ansgar Martin and Deserno, Thomas }, title = { Modeling an IT Support for Handling Serious Adverse Events in Clinical Trials }, booktitle = { MEDINFO 2017 : precision healthcare through informatics : proceedings of the 16th World Congress on Medical and Health Informatics / edited by Adi V. Gundlapalli (University of Utah/VA Salt Lake City Health Care System), Marie-Christine Jaulent (DR Inserm) and Dongsheng Zhao (Academy of Military Medical Science of China) }, publisher = { IOS Press }, pages = { 1262-1262 }, series = { Studies in health technology and informatics }, year = { 2017 }, address = { Amsterdam }, organization = { 16. World Congress on Medical and Health Informatics, Hangzhou (Peoples R China), 2017-08-21 - 2017-08-25 }, doi = { 10.3233/978-1-61499-830-3-1262 }, typ = { PUB:(DE-HGF)1 }, reportid = { RWTH-CONV-222186 }, cin = { 526500-2 / 122810 / 120000 }, url = { http://publications.rwth-aachen.de/record/716886/files/716886.pdf }, }
@article { WSA+18, author = { Winter, Alfred and St{\"a}ubert, Sebastian and Ammon, Danny and Aiche, Stephan and Beyan, Oya Deniz and Bischoff, Verena and Daumke, Philipp and Decker, Stefan Josef and Funkat, Gert and Gewehr, Jan E. and de Greiff, Armin and Haferkamp, Silke Dorothee and Hahn, Udo and Henkel, Andreas and Kirsten, Toralf and Kl{\"o}ss, Thomas and Lippert, J{\"o}rg and L{\"o}be, Matthias and Lowitsch, Volker and Maassen, Oliver and Maschmann, Jens and Meister, Sven and Mikolajczyk, Rafael and N{\"u}chter, Matthias and Pletz, Mathias W. and Rahm, Erhard and Riedel, Morris and Saleh, Kutaiba and Schuppert, Andreas and Smers, Stefan and Stollenwerk, André and Uhlig, Stefan and Wendt, Thomas and Zenker, Sven and Fleig, Wolfgang and Marx, Gernot and Scherag, André and L{\"o}ffler, Markus }, title = { Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards }, journal = { Methods of information in medicine }, publisher = { Thieme }, pages = { e92-e105 }, volume = { 57 }, number = { S 01 }, year = { 2018 }, address = { Stuttgart }, issn = { 2511-705X }, doi = { 10.18154/RWTH-CONV-237913 }, typ = { PUB:(DE-HGF)16 }, reportid = { RWTH-CONV-237913 }, cin = { 528500-2533000-2 / 122810 / 120000 / 121810 }, url = { http://publications.rwth-aachen.de/record/757852/files/757852.pdf }, i11key = { SMITH - Medizininformatik-Konsortium (BMBF-01ZZ1803K) }, }