A5029283368- Biomedical Text Mining and Ontologies
- Scientific Computing and Data Management
- COVID-19 diagnosis using AI
- Electronic Health Records Systems
- Artificial Intelligence in Healthcare and Education
- Research Data Management Practices
- Genomics and Rare Diseases
- Machine Learning in Healthcare
- Cancer Genomics and Diagnostics
- Health and Medical Studies
- Data Quality and Management
- Radiomics and Machine Learning in Medical Imaging
- COVID-19 and healthcare impacts
- Semantic Web and Ontologies
- COVID-19 Clinical Research Studies
- Intelligent Tutoring Systems and Adaptive Learning
- Artificial Intelligence in Healthcare
- Software System Performance and Reliability
- Healthcare Technology and Patient Monitoring
- Genetic Associations and Epidemiology
- Data-Driven Disease Surveillance
- Bioinformatics and Genomic Networks
- Respiratory Support and Mechanisms
- Pancreatic and Hepatic Oncology Research
- BRCA gene mutations in cancer
Berlin Institute of Health at Charité - Universitätsmedizin Berlin
2019-2024
Charité - Universitätsmedizin Berlin
2022-2024
Humboldt-Universität zu Berlin
2024
Freie Universität Berlin
2024
Hochschule Niederrhein
2018
Abstract Background The current COVID-19 pandemic has led to a surge of research activity. While this provides important insights, the multitude studies results in an increasing fragmentation information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce “German Corona Consensus Dataset” (GECCO), uniform dataset that uses international terminologies health IT standards improve interoperability data, particular for university medicine....
COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing are inevitable. Though organizational clinical abundant, many of them available only in isolated silos largely inaccessible to external researchers. overcome tackle this challenge university medicine network (comprising all 36 German hospitals) been founded April 2020 coordinate action plans, strategies collaborative research activities. 13...
Adhering to FAIR principles (findability, accessibility, interoperability, reusability) ensures sustainability and reliable exchange of data metadata. Research communities need common infrastructures information models collect, store, manage work with The German initiative NFDI4Health created a metadata schema an infrastructure integrating existing platforms based on different standards. To ensure system compatibility enhance integration possibilities, we mapped the Investigation-Study-Assay...
The interoperability Working Group of the Medical Informatics Initiative (MII) is platform for coordination overarching procedures, data structures, and interfaces between integration centers (DIC) university hospitals national international committees. goal joint content-related technical design a distributed infrastructure secondary use healthcare that can be used via Research Data Portal Health. Important general conditions are privacy IT security health in biomedical research. To this...
Abstract Objective The objective was to develop a dataset definition, information model, and FHIR® specification for key data elements contained in German molecular genomics (MolGen) report facilitate genomic phenotype integration electronic health records. Materials Methods A dedicated expert group participating the Medical Informatics Initiative reviewed MolGen reports, determined elements, formulated definition. HL7’s Genomics Reporting Implementation Guide (IG) adopted as basis which...
Abstract This paper presents an approach to enable interoperability of the research data management system XNAT by implementation HL7 standards framework Fast Healthcare Interoperability Resources (FHIR). The FHIR is realized as plugin (Source code: https://github.com/somnonetz/xnat-fhir-plugin ), that allows easy adoption in arbitrary instances. demonstrated on patient exchange between a reference and XNAT.
Adopting international standards within health research communities can elevate data FAIRness and widen analysis possibilities. The purpose of this study was to evaluate the mapping feasibility against HL7® Fast Healthcare Interoperability Resources® (FHIR)® a generic metadata schema (MDS) created for central search hub gathering COVID-19 (studies, questionnaires, documents = MDS resource types). Mapping results were rated by calculating percentage FHIR coverage. Among 86 items map, total...
Medication errors represent a widespread, hazardous, and costly challenge in healthcare settings. The lack of interoperable medication data within across hospitals not only creates administrative burden through redundant entry but also increases the risk due to human mistakes, imprecise transformations, misinterpretations. While digital solutions exist, fragmented systems non-standardized continue hinder effective management. This study aimed assess available multiple large university...
Abstract The German government initiated the Network University Medicine (NUM) in early 2020 to improve national research activities on Severe Acute Respiratory Syndrome Coronavirus 2 (SARS-CoV-2) pandemic. To this end, 36 Academic Medical Centers started collaborate 13 projects, with largest being National Pandemic Cohort (NAPKON). NAPKON’s goal is creating most comprehensive Disease 2019 (COVID-19) cohort Germany. Within NAPKON, adult and pediatric patients are observed three complementary...
Abstract Background: The current COVID-19 pandemic has led to a surge of research activity. While this provides important insights, the multitude studies results in an increasing fragmentation information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce “German Corona Consensus Dataset” (GECCO), uniform dataset that uses international terminologies health IT standards improve interoperability data, particular for university medicine....
The COVID-19 pandemic has spurred large-scale, inter-institutional research efforts. To enable these efforts, researchers must agree on dataset definitions that not only cover all elements relevant to the respective medical specialty but are also syntactically and semantically interoperable. Following such an effort, German Corona Consensus (GECCO) been developed previously as a harmonized, interoperable collection of most data for COVID-19-related patient research. As GECCO compact core...
Disease management programs coordinate and manage treatment between physicians across sectors of the healthcare system. The aim is to reduce existing care deficits (overuse, underuse misuse) thus improve quality cost-effectiveness care. To facilitate chronic diseases such as asthma, it important continuously document a patient's medical history. For this purpose, necessary be able integrate exchange data from multiple different information systems. Aiming ensure interoperability electronic...
Abstract Background: The current COVID-19 pandemic has led to a surge of research activity. While this provides important insights, the multitude studies results in an increasing fragmentation information. To ensure comparability across projects and institutions, standard datasets are needed. Here, we introduce “German Corona Consensus Dataset” (GECCO), uniform dataset that uses international terminologies health IT standards improve interoperability data, particular for university medicine....
Our novel Intelligent Tutoring System (ITS) architecture integrates HL7 Fast Healthcare Interoperability Resources (FHIR) for data exchange and Unified Medical Language (UMLS) codes content mapping.
This work presents the Fast Healthcare Interoperability Resources (FHIR®) specification of NFDI4Health Metadata schema based on FHIR Version 4: We created 16 profiles to facilitate integration clinical, epidemiological, and public health study data. Despite challenges arising from extensive MDS as well missing concepts in semantic standards, it marks a significant advance applying information technology standards research.
Introduction: For an interoperable Intelligent Tutoring System (ITS), we used resources from Fast Healthcare Interoperability Resources (FHIR) and mapped learning content with Unified Medical Language (UMLS) codes to enhance healthcare education. This study addresses the need interoperability effectiveness of ITS in State art: The current state art involves advanced personalized adaptability techniques, integrating technologies such as machine personalize experience create systems that...
<sec> <title>BACKGROUND</title> Medication errors are a prevalent, hazardous, and costly problem in healthcare, which could be prevented by utilizing interoperable medication software. </sec> <title>OBJECTIVE</title> This study aimed to assess data across multiple systems large university hospital create minimal standardized database for generating prototype order messages. <title>METHODS</title> The analysis involved various datasets encompassing 7,964 drugs. Specific elements were selected...
<title>Abstract</title> The German National Strategy for Genomic Medicine (genomDE) project aims to establish a nation-wide platform medical genome sequencing integrate into standard health care. Connecting information of genomics data generated by research and healthcare remains challenging due the complexity lack standardization. Fast Healthcare Interoperability Resources® (FHIR)® is exchanging electronically that has gained worldwide adoption within systems. This study analyzed how...
A nationally uniform medication plan has recently been part of German legislation. The specification for the was developed in cooperation between various stakeholders healthcare system. Its' goal is to enhance usability and interoperability while also providing patients physicians with necessary information they require a safe high-quality therapy. Within research development project named Medication Plan PLUS, tested reviewed semantic particular. In this study, list pharmaceutical dose...