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16. Interdisziplinäres Symposium AUTOMED - Automatisierungstechnische Verfahren für die Medizintechnik, AUTOMED 2023, Gießen, Germany, 30 Mar 2023 - 31 Mar 2023; Proceedings on automation in medical engineering 2(1), 742 (2023). special issue: "Contributions to the symposium on automation in medical engineering", Published by Infinite Science GmbH, Lübeck

16. Interdisziplinäres Symposium AUTOMED - Automatisierungstechnische Verfahren für die Medizintechnik, AUTOMED, Gießen, Germany, 30 Mar 2023 - 31 Mar 2023; Proceedings on automation in medical engineering 2(1), 724 (2023). special issue: "Contributions to the Symposium on Automation in Medial Engineering", Published by Infinite Science GmbH, Lübeck

Automation in Medical Engineering, AUTOMED, Lübeck, Germany, 2 Mar 2020 - 3 Mar 2020; Proceedings on automation in medical engineering 1(1), (2020). special issue: "Contributions of the 14th Symposium on Automation in Medical Engineering : Lübeck, Marc 02/03, 2020 / P. Rostalski ; O. Simanski ; T. Schauger (Editors)"

International journal of bioelectromagnetism : IJBEM 21(1), 48-58 (2019)., Published by International Society for Bioelectromagnetism, Tampere

[13th Russian-German Conference on Biomedical Engineering (RGC), RGC, 2018-05-23 - 2018-05-25, Aachen, Germany] 13th Russian-German Conference on Biomedical Engineering (RGC), RGC, Aachen, Germany, 23 May 2018 - 25 May 2018

[11th International Conference on Bioelectromagnetism (ICBEM), ICBEM, 2018-05-23 - 2018-05-25, Aachen, Germany] 11th International Conference on Bioelectromagnetism (ICBEM), ICBEM, Aachen, Germany, 23 May 2018 - 25 May 2018

Summary Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. “Smart Medical Information Technology for Healthcare (SMITH)” is one of four consortia funded by the German Medical Informatics Initiative (MI-I) to create an alliance of universities, university hospitals, research institutions and IT companies. SMITH’s goals are to establish Data Integration Centers (DICs) at each SMITH partner hospital and to implement use cases which demonstrate the usefulness of the approach. Objectives: To give insight into architectural design issues underlying SMITH data integration and to introduce the use cases to be implemented. Governance and Policies: SMITH implements a federated approach as well for its governance structure as for its information system architecture. SMITH has designed a generic concept for its data integration centers. They share identical services and functionalities to take best advantage of the interoperability architectures and of the data use and access process planned. The DICs provide access to the local hospitals’ Electronic Medical Records (EMR). This is based on data trustee and privacy management services. DIC staff will curate and amend EMR data in the Health Data Storage. Methodology and Architectural Framework: To share medical and research data, SMITH’s information system is based on communication and storage standards. We use the Reference Model of the Open Archival Information System and will consistently implement profiles of Integrating the Health Care Enterprise (IHE) and Health Level Seven (HL7) standards. Standard terminologies will be applied. The SMITH Market Place will be used for devising agreements on data access and distribution. 3LGM 2 for enterprise architecture modeling supports a consistent development process. The DIC reference architecture determines the services, applications and the standards-based communication links needed for efficiently supporting the ingesting, data nourishing, trustee, privacy management and data transfer tasks of the SMITH DICs. The reference architecture is adopted at the local sites. Data sharing services and the market place enable interoperability. Use Cases: The methodological use case “Phenotype Pipeline” (PheP) constructs algorithms for annotations and analyses of patient-related phenotypes according to classification rules or statistical models based on structured data. Unstructured textual data will be subject to natural language processing to permit integration into the phenotyping algorithms. The clinical use case “Algorithmic Surveillance of ICU Patients” (ASIC) focusses on patients in Intensive Care Units (ICU) with the acute respiratory distress syndrome (ARDS). A model-based decision-support system will give advice for mechanical ventilation. The clinical use case HELP develops a “hospital-wide electronic medical record-based computerized decision support system to improve outcomes of patients with blood-stream infections” (HELP). ASIC and HELP use the PheP. The clinical benefit of the use cases ASIC and HELP will be demonstrated in a change of care clinical trial based on a step wedge design. Discussion: SMITH’s strength is the modular, reusable IT architecture based on interoperability standards, the integration of the hospitals’ information management departments and the public-private partnership. The project aims at sustainability beyond the first 4-year funding period.

Acta polytechnica = Journal of advanced engineering 53, 895-900 (2013). doi:10.14311/AP.2013.53.0895, Published by Univ., Prague

Extracorporeal lung assist (ECLA) is currently used as a last resort in the treatment of acute respiratory distress syndrome (ARDS). This is not least due to the complexity of the application and the associated risks. To overcome this drawback, the SmartECLA project has been carried out with the aims of applying constructive design improvements to the ECLA and also establishing a control and safety concept. This thesis elaborates on a safety concept for a patient-centered, controlled ECLA. A system analysis that recognizes errors and helps estimate the system state, based on a Failure Mode and Effects Analysis (FMEA) as well as Fault Tree Analysis (FTA), was initially carried out. Models were developed, which specifically detect continuous processes and monitor the condition of the used oxygenator or recirculation within the vena cava of the patient caused by extracorporeal circulation, as well as discrete events such as the suction of the discharging vessel wall to the cannula or deviations of the blood pump behavior from the expected pattern, e. g. caused by gas in the bloodstream. The developed models selectively substantiate the previously identified potential sources of errors. Thus, patient safety can be ensured should components malfunction. This safety concept is implemented on a network of distributed safety nodes using an elaborated software architecture. This architecture enables efficient assessment, and hence sound planning of the available resources. This predictability is achieved by data management in the system concept based on a static data module, which only projects the data structures and algorithms in code required due to embedded applications. Various development paths are simultaneously supported, thus new models and applications can be mapped efficiently. The developed system setup is based on a modular structured and electrically robust hardware platform that can be adapted to the specific application needs. Hence, energy consumption, costs and development costs can be minimized. One further development based on the designed hardware platform is the developed console to control the utilized diagonal blood pump with integrated blood flow control unit. The results presented in this thesis are a part of the essential innovations, which enabled a proof-of-concept for the sound conduct of an automated ECLA.