An Open Information Model-Based Repository for Sustainable Re-Use of Heterogeneous Pandemics Research Data.

The COVID-19 Research Network Lower Saxony (COFONI) is a German state network of experts in Coronavirus research and development of strategies for future pandemics. One of the pillars of the COFONI technology platform is its established research data repository (Available at https://forschungsdb.cofoni.

Identifying Relevant FHIR Elements for Data Quality Assessment in the German Core Data Set.

The German Medical Informatics Initiative makes clinical routine data available for biomedical research. In total, 37 university hospitals have set up so-called data integration centers to facilitate this data reuse. A standardized set of HL7 FHIR profiles ("MII Core Data Set") defines the common data model across all centers.

Targeted Data Quality Analysis for a Clinical Decision Support System for SIRS Detection in Critically Ill Pediatric Patients.

Background: Data quality issues can cause false decisions of clinical decision support systems (CDSSs). Analyzing local data quality has the potential to prevent data quality-related failure of CDSS adoption.

Objectives: To define a shareable set of applicable measurement methods (MMs) for a targeted data quality assessment determining the suitability of local data for our CDSS.

Federated electronic data capture (fEDC): Architecture and prototype.

In clinical research as well as patient care, structured documentation of findings is an important task. In many cases, this is achieved by means of electronic case report forms (eCRF) using corresponding information technology systems. To avoid double data entry, eCRF systems can be integrated with electronic health records (EHR).

Towards Harmonized Data Quality in the Medical Informatics Initiative - Current State and Future Directions.

Health data from hospital information systems are valuable sources for medical research but have known issues in terms of data quality. In a nationwide data integration project in Germany, health care data from all participating university hospitals are being pooled and refined in local centers. As there is currently no overarching agreement on how to deal with errors and implausibilities, meetings were held to discuss the current status and the need to develop consensual measures at the organizational and technical levels.

A data driven learning approach for the assessment of data quality.

Background: Data quality assessment is important but complex and task dependent. Identifying suitable measurement methods and reference ranges for assessing their results is challenging. Manually inspecting the measurement results and current data driven approaches for learning which results indicate data quality issues have considerable limitations, e.

Preliminary Analysis of Structured Reporting in the HiGHmed Use Case Cardiology: Challenges and Measures.

The HiGHmed consortium aims to create a shared information governance framework to integrate clinical routine data. One challenge is the replacement of unstructured reporting (e.g.

Transformation of microbiology data into a standardised data representation using OpenEHR.

The spread of multidrug resistant organisms (MDRO) is a global healthcare challenge. Nosocomial outbreaks caused by MDRO are an important contributor to this threat. Computer-based applications facilitating outbreak detection can be essential to address this issue.

A method for interoperable knowledge-based data quality assessment.

Background: Assessing the quality of healthcare data is a complex task including the selection of suitable measurement methods (MM) and adequately assessing their results.

Objectives: To present an interoperable data quality (DQ) assessment method that formalizes MMs based on standardized data definitions and intends to support collaborative governance of DQ-assessment knowledge, e.g.

Provenance Solutions for Medical Research in Heterogeneous IT-Infrastructure: An Implementation Roadmap.

Research data generated in large projects raise challenges about not only data analytics but also data quality assessments and data governance. The provenance of a data set - that is the history of data sets - holds information relevant to technicians and non-technicians and is able to answer questions regarding data quality, transparency, and more. We propose an implementation roadmap to extract, store, and utilize provenance records in order to make provenance available to data analysts, research subjects, privacy officers, and machines (machine readability).

Clinical Information Model Based Data Quality Checks: Theory and Example.

Introduction: We describe principles of leveraging clinical information models (CIMs) for data quality (DQ) checks and present the exemplary application of these principles.

Methods: openEHR compliant CIMs are used to express DQ-checks as constraints. Test setting is the process of extracting, transforming and loading (ETL) assisted ventilation data from two patient data management systems (PDMS) of a pediatric intensive care unit into a local openEHR-based data repository.

Striving for Use Case Specific Optimization of Data Quality Assessment for Health Data.

Data quality (DQ) assessment is advisable before (re)using datasets. Besides supporting DQ-assessment, DQ-tools can indicate data integration issues. The objective of this contribution is to put up for discussion the identified current state of scientific knowledge in DQ-assessment for health data and the planned work resulting from that state of knowledge.

An interoperable clinical decision-support system for early detection of SIRS in pediatric intensive care using openEHR.

Background: Clinical decision-support systems (CDSS) are designed to solve knowledge-intensive tasks for supporting decision-making processes. Although many approaches for designing CDSS have been proposed, due to high implementation costs, as well as the lack of interoperability features, current solutions are not well-established across different institutions. Recently, the use of standardized formalisms for knowledge representation as terminologies as well as the integration of semantically enriched clinical information models, as openEHR Archetypes, and their reuse within CDSS are theoretically considered as key factors for reusable CDSS.

Modeling of ETL-Processes and Processed Information in Clinical Data Warehousing.

Background: Literature describes a big potential for reuse of clinical patient data. A clinical data warehouse (CDWH) is a means for that.

Objectives: To support management and maintenance of processes extracting, transforming and loading (ETL) data into CDWHs as well as to ease reuse of metadata between regular IT-management, CDWH and secondary data users by providing a modeling approach.

Introducing a Method for Transformation of Paper-Based Research Data into Concept-Based Representation with openEHR.

Combining research data and clinical routine data is a chance for medical research. We present our method for the transformation of paper-based research data into a concept-based representation. With this representation the study data from research projects can be combined with data from clinical tools with less integration effort.

Low acyl-CoA synthetase 5 expression in colorectal carcinomas is prognostic for early tumour recurrence.

It has been shown that the metabolism of long chain fatty acids is involved in colorectal carcinogenesis. Acyl-CoA synthetases (ACSL) activate free fatty acids by synthesis of acyl-CoA thioesters. ACSL isoform 5 (ACSL5) is involved in enterocytic differentiation and maturation by regulating both pro-apoptotic and anti-proliferative effects.

Automated population of an i2b2 clinical data warehouse from an openEHR-based data repository.

Background: Detailed Clinical Model (DCM) approaches have recently seen wider adoption. More specifically, openEHR-based application systems are now used in production in several countries, serving diverse fields of application such as health information exchange, clinical registries and electronic medical record systems. However, approaches to efficiently provide openEHR data to researchers for secondary use have not yet been investigated or established.

[An urban EMS at the start of a cross-sectoral quality management system: prioritized implementation of the 2010 ERC recommendations and long-term survival after cardiac arrest].

Introduction: Due to limited resources, the 2010 European Resuscitation Council (ERC) guidelines could not be fully implemented in the Emergency Medical Services (EMS) of Brunswick, Germany. This is why implementation was prioritized according to local conditions. Thus, prehospital therapeutic hypothermia, mechanical chest compression and feedback systems were not established.

Using ICT to Support Individual Guidance in Health Promotion Programs for Increased Physical Activity.

Introduction: We report on experiences in implementing a system to support the individual guidance of training in health promotion programs aiming to increase participants' regular level of physical activity.

Methods: We used an iterative development approach considering data privacy and security aspects, followed by a phase of field testing and continuous further development.

Results: Our preliminary results comprise identified clinically relevant parameters, suitable data collection methods, experienced privacy and security challenges and a glance on our developed prototype system.