Implementation of multilingual support of the European Multicenter Study about Spinal Cord Injury (EMSCI) ISNCSCI calculator.

OBJECTIVES: Since their introduction, electronic International Standards for Neurological Classification of Spinal Cord Injury (ISNCSCI) calculators have evolved to powerful tools providing error-free ISNCSCI classifications in education, research and clinical practice. For increased accessibility and dissemination, a multilingual support is mandatory. The aim of this work was to setup a general multilingual framework for the freely available ISNCSCI calculator ( https://ais.emsci.org ) of the European Multicenter Study about Spinal Cord Injury (EMSCI). METHODS: The graphical user interface (GUI) and PDF export of the ISNCSCI worksheet were adapted for multilingual implementations. Their language-dependent content was identified. These two steps called internationalization have to be performed by a programmer in preparation of the translations of the English terms into the target language. This step following the internationalization is called localization and needs input by a bi-lingual clinical expert. Two EMSCI partners provided Standard Mandarin Chinese and Czech translations. Finally, the translations are made available in the application. RESULTS: The GUI and PDF export of the ISNCSCI worksheet were internationalized. The default language of the calculator is set according to the user's preferences with the additional possibility for manual language selection. The Chinese as well as a Czech translation were provided freely to the SCI community. CONCLUSIONS: The possibility of multilingual implementations independent from software developers opens the use of ISNCSCI computer algorithms as an efficient training tool on a larger scale.

[Germany-wide, Web-based ParaReg Registry for Lifelong Monitoring of People with Spinal Cord Injury: Data Model, Ethico-legal Prerequisites and Technical Implementation]. / Das deutschlandweite, webbasierte ParaReg-Register zur lebenslangen Dokumentation von Querschnittgelähmten ­ Datenmodell, rechtlich-ethische Voraussetzungen und technische Implementierung.

OBJECTIVE: In Germany, treatment paths for patients with acute spinal cord injury (SCI) differ considerably depending on intrinsic, disease-specific and extrinsic factors. Which of these factors are associated with improved outcome with fewer subsequent complications and inpatient re-admissions is not clear. The German-wide, patient-centered, web-based ParaReg registry will be implemented to improve the long-term quality of patient care and the planning of treatment paths with increased cost-effectiveness. METHODS: In the 2017-18 conceptualization phase, the data model of the registry was developed in an iterative process of the ParaReg steering committee together with the extended DMGP board and patient representatives. In ParaReg, routine social and medical data as well as internationally established neurological, functional and participation scores will be documented. The assignment of a unique patient ID allows a lifelong, cross-center documentation of inpatient stays in one of the 27 SCI centers organized in the German-speaking Medical Society for SCI (DMGP). The ParaReg data protection concept and patient information/consent are based on the Open Source Registry for Rare Diseases (OSSE) which were extended by GDPR-relevant aspects. RESULTS: In the realization phase, which started in 2019, the information technology infrastructure was implemented according to the clinical ID management module of the Technology and Methods Platform for Networked Medical Research (TMF). In parallel, the legal and ethical prerequisites for registry operation under the patronage of the DMGP were created. Recommendations of the working group data protection of the TMF were integrated into ParaReg's data protection concept. Based on the feedback from the alpha test phase with documentation of the hospitalization data of 40 patients, the ergonomics of the electronic case report forms were improved in particular for data entry on mobile devices. CONCLUSION: After completion of the monocentric alpha test phase, the multicenter data acquisition was started in 5 DMGP-SCI centers. The sustainability of ParaReg is ensured by the structural and financial support of the DMGP after expiry of the funding by the German Federal Ministry of Education and Research (BMBF).

HeiDATAProVIT-Heidelberg data archiving, tag assembling, processing and visualization tool.

The demands that have to be met by software tools for biomedical data evaluation strongly differ depending on the background of their application. In clinical routine emphasis is placed on ease of handling and application of standardized procedures, whereas in biomedical research the main focus lies on flexibility and extensibility. These contradictory requirements are reflected by the design principles of existing software solutions: programs for routine application are barely extensible or modifiable by the user and the complexity of highly flexible data processing tools for research purposes hampers the application of new methods to larger data volumes. This gap poses technical difficulties to the transfer of methods from research into clinical routine. The software we present in this paper bridges this discrepancy by incorporating two different levels of application. The lower level offers options to integrate custom written MATLAB((R)) processing routines and to add new evaluation schemes to a pool of existing procedures. The higher level allows for performing standard evaluations by accessing and applying these previously defined procedures. Four basic concepts were introduced to ensure that the program is both maximally flexible on a lower level and readily applicable on a higher level: the tag concept, the concept of modularized visualization, the dummy file concept, and the batchjob concept. These concepts are the key to flexibly assemble and apply the three universal stages of data evaluation: (1) archiving of acquired data, (2) processing the data using signal processing algorithms and (3) visualizing the results in appropriate graphical formats. The present paper illustrates the four concepts within the two levels of the software architecture. The basic functionality and usefulness of the program are demonstrated using an evaluation of gait analysis data as sample application. In summary, this software tool closely integrates a database for biomedical datasets and an extensible pool of evaluation and visualization procedures realized using MATLAB((R)). It is well suited both for data processing in clinical routine and for evaluation of measurement data in any medical research project.

[HeiDATAProViT--a universal software tool for evaluating biomedical data]. / HeiDATAProViT--ein universelles Software Tool zur Auswertung biomedizinischer Datensätze.

Evaluation of large sets of biomedical data can be divided into three universal stages: 1. archiving of clinical data together with data obtained from measurements, 2. processing of numerical data using signal processing algorithms and 3. visualizing the results. In this paper a software is presented which tightly integrates a data base under MS Access and the possibilities for data processing and visualization offered by Matlab. This software tool provides an interface between a data base containing large sets of biomedical data and an extensible pool of evaluation and visualization procedures. It can serve both as an instrument for data processing in clinical routine and an important component for evaluation of measurement data in any medical research project.