Smart Medical Information Technology for Healthcare

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.

The aim of the 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

Project Partners

Publications

Publications produced as part of the SMITH project:


Publikations-Export
[FFN+23]
Fonck, S. A. M., Fritsch, S., Nottenkämper, G., and Stollenwerk, A., "Implementation of ResNet-50 for the Detection of ARDS in Chest X-Rays using transfer-learning", Proceedings on automation in medical engineering, vol. 2, iss. 1, p. 2, 2023

Implementation of ResNet-50 for the Detection of ARDS in Chest X-Rays using transfer-learning

Bibtex entry :

@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 },
}
[FFK+21]
Fonck, S., Fritsch, S. J., Kowalewski, S., Hensen, R., and Stollenwerk, A., "Algorithmic distinction of ARDS and Heart Failure in ICU data from medical embedded systems by using a computer model", IFAC-PapersOnLine, vol. 54, iss. 4, pp. 135-140, 2021

Algorithmic distinction of ARDS and Heart Failure in ICU data from medical embedded systems by using a computer model

Bibtex entry :

@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) },
}
[MBF+21]
Marx, G., Bickenbach, J., Fritsch, S. J., Kunze, J. B., Maassen, O., Deffge, S., Kistermann, J., Haferkamp, S. D., Lutz, I., Voellm, N. K., Lowitsch, V., Polzin, R., Sharafutdinov, K., Mayer, H., Kuepfer, L., Burghaus, R., Schmitt, W., Lippert, J., Riedel, M., Barakat, C., Stollenwerk, A., Fonck, S., Putensen, C., Zenker, S., Erdfelder, F., Grigutsch, D., Kram, R., Beyer, S., Kampe, K., Gewehr, J. E., Salman, F., Juers, P., Kluge, S., Tiller, D., Wisotzki, E., Gross, S., Homeister, L., Bloos, F., Scherag, A., Ammon, D., Mueller, S., Palm, J., Simon, P., Jahn, N., Loeffler, M., Wendt, T., Schuerholz, T., Groeber, P., and Schuppert, A., "Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC) : protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy", BMJ open, vol. 11, iss. 4, pp. 1-7, 2021

Algorithmic surveillance of ICU patients with acute respiratory distress syndrome (ASIC) : protocol for a multicentre stepped-wedge cluster randomised quality improvement strategy

Bibtex entry :

@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) },
}
[FD17]
Fonck, S. A. M. and Deserno, T., "Modeling an IT Support for Handling Serious Adverse Events in Clinical Trials", in Proc. 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), Amsterdam, 2017 in Studies in health technology and informatics, IOS Press, pp. 1262-1262.

Modeling an IT Support for Handling Serious Adverse Events in Clinical Trials

Bibtex entry :

@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 },
}

Publikations-Export
[WSA+18]
Winter, A., Stäubert, S., Ammon, D., Aiche, S., Beyan, O. D., Bischoff, V., Daumke, P., Decker, S. J., Funkat, G., Gewehr, J. E., de Greiff, A., Haferkamp, S. D., Hahn, U., Henkel, A., Kirsten, T., Klöss, T., Lippert, J., Löbe, M., Lowitsch, V., Maassen, O., Maschmann, J., Meister, S., Mikolajczyk, R., Nüchter, M., Pletz, M. W., Rahm, E., Riedel, M., Saleh, K., Schuppert, A., Smers, S., Stollenwerk, A., Uhlig, S., Wendt, T., Zenker, S., Fleig, W., Marx, G., Scherag, A., and Löffler, M., "Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards", Methods of information in medicine, vol. 57, iss. S 01, p. e92-e105, 2018

Smart Medical Information Technology for Healthcare (SMITH) : Data Integration based on Interoperability Standards

Bibtex entry :

@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) },
}
This website uses cookies. By using the website, you agree with storing cookies on your computer. If you do not agree please leave the website.More information about cookies

RWTH Aachen University - Chair of Computer Science 11 - Ahornstr. 55 - 52074 Aachen - Germany