======Smart Medical Information Technology for Healthcare====== ### ~~NOTOC~~ 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. {{ :forschung:projekte:smith:mii_icon.png?200|}} The [[https://www.medizininformatik-initiative.de/en/start|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 [[https://www.smith.care/home-2/|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. {{:forschung:projekte:smith:smith_icon.png?200 |}} \\ \\ 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. [[https://embedded.rwth-aachen.de/doku.php?id=en:lehre:abschlussarbeiten|Here you can find advertised theses.]] \\ \\ Contact person: [[:lehrstuhl:mitarbeiter:fonck]] ### ===== Project Partners ===== * University Hospital Leipzig * University Hospital RWTH Aachen * [[https://www.smith.care/konsortium/|List of all project partners in the consortium]] {{ :forschung:projekte:smith:mii_karte.jpg?600 |}} ===== Publications ===== Publications produced as part of the SMITH project: \\ ~~NOCACHE~~