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18 Publications visible to you, out of a total of 18
Integration of allergy documentation into an interoperable archiving and communication platform to improve patient care and clinical research at the Jena University Hospital
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

As part of the digitalization strategy for medical documentation, we introduced a vendor-neutral archive (VNA) at the Jena University Hospital. The VNA provides data based on interoperable formats for … all clinical systems and for communication with other actors as well as for secondary data use. HL7 FHIR is used as a standard for structuring individual data. Using the example of allergy documentation, the paper describes objectives, work status, and experiences from several sub-projects currently being pursued in Jena to establish FHIR. Challenges in information modelling, semantic annotation, connection of clinical sub-systems and integration of FHIR resources in archiving structures and processes are discussed and the necessary cooperation for profiling technical standards is indicated.

Authors: Henner M. Kruse, Alexander Helhorn, Lo An Phan-Vogtmann, Julia Palm, Eric Thomas, Andreas Iffland, Andrew Heidel, Susanne Müller, Kutaiba Saleh, Karsten Krohn, Martin Specht, Michael Hartmann, Katrin Farker, Cord Spreckelsen, Andreas Henkel, Andre Scherag, Danny Ammon

Date Published: 26th Apr 2021

Publication Type: Journal article

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

Abstract (Expand)

INTRODUCTION: The acute respiratory distress syndrome (ARDS) is a highly relevant entity in critical care with mortality rates of 40%. Despite extensive scientific efforts, outcome-relevant therapeutic … measures are still insufficiently practised at the bedside. Thus, there is a clear need to adhere to early diagnosis and sufficient therapy in ARDS, assuring lower mortality and multiple organ failure. METHODS AND ANALYSIS: In this quality improvement strategy (QIS), a decision support system as a mobile application (ASIC app), which uses available clinical real-time data, is implemented to support physicians in timely diagnosis and improvement of adherence to established guidelines in the treatment of ARDS. ASIC is conducted on 31 intensive care units (ICUs) at 8 German university hospitals. It is designed as a multicentre stepped-wedge cluster randomised QIS. ICUs are combined into 12 clusters which are randomised in 12 steps. After preparation (18 months) and a control phase of 8 months for all clusters, the first cluster enters a roll-in phase (3 months) that is followed by the actual QIS phase. The remaining clusters follow in month wise steps. The coprimary key performance indicators (KPIs) consist of the ARDS diagnostic rate and guideline adherence regarding lung-protective ventilation. Secondary KPIs include the prevalence of organ dysfunction within 28 days after diagnosis or ICU discharge, the treatment duration on ICU and the hospital mortality. Furthermore, the user acceptance and usability of new technologies in medicine are examined. To show improvements in healthcare of patients with ARDS, differences in primary and secondary KPIs between control phase and QIS will be tested. ETHICS AND DISSEMINATION: Ethical approval was obtained from the independent Ethics Committee (EC) at the RWTH Aachen Faculty of Medicine (local EC reference number: EK 102/19) and the respective data protection officer in March 2019. The results of the ASIC QIS will be presented at conferences and published in peer-reviewed journals. TRIAL REGISTRATION NUMBER: DRKS00014330.

Authors: Gernot Marx, Johannes Bickenbach, Sebastian Johannes Fritsch, Julian Benedict Kunze, Oliver Maassen, Saskia Deffge, Jennifer Kistermann, Silke Haferkamp, Irina Lutz, Nora Kristiana Voellm, Volker Lowitsch, Richard Polzin, Konstantin Sharafutdinov, Hannah Mayer, Lars Kuepfer, Rolf Burghaus, Walter Schmitt, Joerg Lippert, Morris Riedel, Chadi Barakat, André Stollenwerk, Simon Fonck, Christian Putensen, Sven Zenker, Felix Erdfelder, Daniel Grigutsch, Rainer Kram, Susanne Beyer, Knut Kampe, Jan Erik Gewehr, Friederike Salman, Patrick Juers, Stefan Kluge, Daniel Tiller, Emilia Wisotzki, Sebastian Gross, Lorenz Homeister, Frank Bloos, André Scherag, Danny Ammon, Susanne Mueller, Julia Palm, Philipp Simon, Nora Jahn, Markus Loeffler, Thomas Wendt, Tobias Schuerholz, Petra Groeber, Andreas Schuppert

Date Published: 1st Apr 2021

Publication Type: Journal article

Hospital-wide ELectronic medical record evaluated computerised decision support system to improve outcomes of Patients with staphylococcal bloodstream infection (HELP): study protocol for a multicentre stepped-wedge cluster randomised trial
SMITH - Smart Medical Information Technology for Healthcare

Abstract

Not specified

Authors: Stefan Hagel, Julia Gantner, Cord Spreckelsen, Claudia Fischer, Danny Ammon, Kutaiba Saleh, Lo An Phan-Vogtmann, Andrew Heidel, Susanne Müller, Alexander Helhorn, Henner Kruse, Eric Thomas, Florian Rißner, Silke Haferkamp, Jens Vorwerk, Saskia Deffge, Marc Fabian Juzek-Küpper, Norman Lippmann, Christoph Lübbert, Henning Trawinski, Sebastian Wendt, Thomas Wendt, Andreas Dürschmid, Margarethe Konik, Stefan Moritz, Daniel Tiller, Rainer Röhrig, Jonas Schulte-Coerne, Jonas Fortmann, Stephan Jonas, Oliver Witzke, Peter-Michael Rath, Mathias W Pletz, André Scherag

Date Published: 10th Feb 2020

Publication Type: Journal article

Human Diseases: staphyloenterotoxemia

Rückverfolgbarkeit für künstliche Intelligenz: Umsetzung einer Traceability-Strategie bei der modellgetriebenen Entwicklung klinischer Entscheidungsunterstützungssysteme
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Einleitung: Systeme auf Basis von Algorithmen mit \glqqkünstlicher Intelligenz\grqq werden im Gesundheitswesen zunehmend praktisch eingesetzt. Durch die Medizininformatik-Initiative sollen zukünftig … Daten aus Krankenversorgung und Forschung besser zugänglich werden. In diesem Rahmen[zum vollständigen Text gelangen Sie über die oben angegebene URL]

Authors: Lo Phan-Vogtmann an , Henner M. Kruse, Alexander Helhorn, Andrew J. Heidel, Eric Thomas, Kutaiba Saleh, André Scherag, Danny Ammon

Date Published: 8th Sep 2019

Publication Type: InProceedings

Modeling a Graph Data Model for FHIR Resources
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Introduction: (Fast Healthcare Interoperability Resources) is a modern standard for communication and representation of clinical data, where each dataset is defined by a single resource, linked to other … resources [ref:1]. But FHIR\circledR does explicitely not define how to persist these resources[for full text, please go to the a.m. URL]

Authors: Henner M. Kruse, Alexander Helhorn, Lo Phan-Vogtmann an , Eric Thomas, Andrew J. Heidel, Kutaiba Saleh, André Scherag, Danny Ammon

Date Published: 6th Sep 2019

Publication Type: InProceedings

Design of Metadata Services for Clinical Data Interoperability in Germany.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

Secondary use of electronic health record (EHR) data requires a detailed description of metadata, especially when data collection and data re-use are organizationally and technically far apart. This … paper describes the concept of the SMITH consortium that includes conventions, processes, and tools for describing and managing metadata using common standards for semantic interoperability. It deals in particular with the chain of processing steps of data from existing information systems and provides an overview of the planned use of metadata, medical terminologies, and semantic services in the consortium.

Authors: M. Lobe, O. Beyan, S. Staubert, F. Meineke, D. Ammon, A. Winter, S. Decker, M. Loffler, T. Kirsten

Date Published: 21st Aug 2019

Publication Type: Journal article

Integrating Heterogeneous Data Sources for Cross-Institutional Data Sharing: Requirements Elicitation and Management in SMITH.
SMITH - Smart Medical Information Technology for Healthcare

Abstract (Expand)

The digitization of health records and cross-institutional data sharing is a necessary precondition to improve clinical research and patient care. The SMITH project unites several university hospitals … and medical faculties in order to provide medical informatics solutions for health data integration and cross-institutional communication. In this paper, we focus on requirements elicitation and management for extracting clinical data from heterogeneous subsystems and data integration based on eHealth standards such as HL7 FHIR and IHE profiles.

Authors: K. Tahar, C. Muller, A. Durschmid, S. Haferkamp, K. Saleh, P. Jurs, S. Staubert, J. E. Gewehr, S. Zenker, D. Ammon, T. Wendt

Date Published: 21st Aug 2019

Publication Type: Journal article

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