Björn Schreiweis

Verified

Björn verified their affiliation via an institutional email.

Learn more

Verified

Björn verified their affiliation via an institutional email.

Learn more

• Professor
• Professor at Kiel University

Objectives: Reusing data from electronic health records for clinical and translational research and especially for patient recruitment has been tackled in a broader manner since about a decade. Most projects found in the literature however focus on standalone systems and proprietary implementations at one particular institution often for only one...

Background: Clinical information is often used for biomedical research. Data warehouses can help providing researchers with data and the opportunity to find eligible participants for clinical trials. Objectives: To define an information platform for healthcare and biomedical research based on requirements by clinicians and researchers. Methods:...

Background: The field of eHealth has a history of more than 20 years. During that time, many different eHealth services were developed. However, factors influencing the adoption of such services were seldom the main focus of analyses. For this reason, organizations adopting and implementing eHealth services seem not to be fully aware of the barrie...

Background: New sensor technologies in wearables and other consumer health devices open up promising opportunities to collect real-world data. As cardiovascular diseases remain the number one reason for disease and mortality worldwide, cardiology offers potent monitoring use cases with patients in their out-of-hospital daily routines. Therefore, t...

Background Clinical trials constitute an important pillar in medical research. It is beneficial to support recruitment for clinical trials using software tools, so-called patient recruitment support systems; however, such information technology systems have not been frequently used to date. Because medical information systems' underlying data colle...

Background: Standardizing laboratory data is essential for interoperability and secondary use in clinical research and healthcare. However, many laboratory information systems (LIS) still rely on internal codes rather than internationally recognized terminologies, hindering data exchange, queryability, and integration into health data infrastructu...

BACKGROUND Methods such as Human Centered Design (HCD), Design Thinking (DT), User Centered Design (UCD) co-creation, and participatory design (PD) have been adopted to facilitate user and stakeholder involvement in the development of eHealth applications. However, there is frequent confusion around these methodologies leading to a fragmentation of...

Background The national health record (ePA) was introduced January 1st, 2021 in Germany and is available to every person insured under statutory health insurance. This study investigated the acceptance and expectations of the national health record in Germany, focusing on consumer perspectives, expectations, barriers, information needs, and communi...

Background/Objectives: The integration of machine learning into the domain of radiomics has revolutionized the approach to personalized medicine, particularly in oncology. Our research presents RadTA (RADiomics Trend Analysis), a novel framework developed to facilitate the automatic analysis of quantitative imaging biomarkers (QIBs) from time-serie...

Introduction: Conducting clinical studies is an integral part of the clinical research repertoire of university hospitals. A wealth of organizational competences must always be available in a central location and in an up-to-date form for appropriate administration. Information such as the number of ongoing studies, and the number of enrolled part...

This comparative study examines the transition from isolated registries to a consolidated data-centric approach at University Hospital Schleswig-Holstein, focusing on migrating the Atrioventricular Valve Intervention Registry (AVIR) from REDCap to a Medical Data Integration Center based openEHR registry. Through qualitative analysis, we identify ke...

In recent years, there has been a rapid growth in the use of AI in the clinical domain. In order to keep pace with this development, a framework should be created in which clinical AI models can be easily trained, managed and applied. In our study, we propose a clinical AI platform that supports the development cycle and application of clinical AI...

This paper explores the challenges and lessons learned during the mapping of HL7 v2 messages structured using custom schema to openEHR for the Medical Data Integration Center (MeDIC) of the University Hospital, Schleswig-Holstein (UKSH). Missing timestamps in observations, missing units of measurement, inconsistencies in decimal separators and unex...

The efficient direct integration of real-time medical device data is a promising approach to improve patient care enabling a direct and eminent intervention. This study presents a comprehensive approach for integrating real-time medical device data into clinical environments using the HL7® FHIR® standards and IEEE 11073 Service-Oriented Device Conn...

To systematically and comprehensively identify data issues in large clinical datasets, we adopted a harmonized data quality assessment framework with Python scripts before integrating the data into FHIR® for secondary use. We also added a preliminary step of categorizing data fields within the database scheme to facilitate the implementation of the...

The integration of tumor-related diagnosis and therapy data is a key factor for cancer-related collaborative projects and research projects on-site. The Medical Data Integration Center (MeDIC) of the University Hospital Schleswig-Holstein, resulting from the Medical Informatics Initiative and Network University Medicine in Germany, has agreed on an...

Background: The integration of artificial intelligence into medicine has led to significant advances, particularly in diagnostics and treatment planning. However, the reliability of AI models is highly dependent on the quality of the training data, especially in medical imaging, where varying patient data and evolving medical knowledge pose a chall...

A medical data integration center integrates a large volume of medical images from clinical departments, including X-rays, CT scans, and MRI scans. Ideally, all images should be indexed appropriately with standard clinical terms. However, some images have incorrect or missing annotations, which creates challenges in searching and integrating data c...

Zusammenfassung Im Rahmen der Medizininformatik-Initiative (MII) sind seit 2018 an 38 universitären sowie 3 nichtuniversitären Standorten in Deutschland Datenintegrationszentren (DIZ) entstanden. Hier werden Forschungs- und Versorgungsdaten zusammengetragen. Die Datenintegrationszentren (DIZ) stellen mittlerweile eine wichtige Säule in der Forschun...

Background: There has been a resurgence of Artificial Intelligence (AI) on a global scale in recent times, resulting in the development of cutting-edge AI solutions within hospitals. However, this has also led to the creation of isolated AI solutions that are not integrated into clinical IT. To tackle this issue, a clinical Artificial Intelligence...

Dieser Arbeitskreis hat die Aufgabe wahrgenommen, einen Basisdatensatz für die Kardiologie zu entwerfen. Der Begriff Basis steht in diesem Kontext für Grundlage und Referenz für die Dokumentation in der Kardiologie. Damit bildet die Nutzung des Basisdatensatzes eine zentrale Voraussetzung für interoperable Datenerhebung, Speicherung und Datenaus...

Background In the evolving landscape of healthcare, the fragmented IT environment poses challenges to data utilization. This paper introduces the Open Health Knowledge Management Platform, designed to overcome data fragmentation, heterogeneity, and interoperability challenges. The platform aims to bridge the gap between research and patient care, s...

Imaging techniques are a cornerstone of today’s medicine and can be crucial for a successful therapy. But in addition, the generated imaging series are an important resource for new informatics’ methods, especially in the field of artificial intelligence. This paper describes the success of integrating clinical routine imaging data into a standardi...

The era of the electronic health record (EHR) requires lots of semantic interoperability for data sharing and reusability. We select HL7 v2 messages as the most common structured data type in hospital information systems, to investigate the plausibility of using Elasticsearch (ES) as a healthcare search engine and data analytics tool. Due to the fa...

Medical images need annotations with high-level semantic descriptors, so that domain experts can search for the desired dataset among an enormous volume of visual media within a Medical Data Integration Center. This article introduces a processing pipeline for storing and annotating DICOM and PNG imaging data by applying Elasticsearch, S3 and Deep...

The use and shareability of Clinical Quality Language (CQL) artefacts is an important aspect in enabling the exchange and interoperability of clinical data to support both clinical decisions and research in the medical informatics field. This paper, while basing on use cases and synthetic data, developed purposeful CQL reusable libraries to showcas...

In dem Positionspapier werden Bewertungen vorgenommen und Handlungsempfehlungen für Maßnahmen zur interoperablen Umsetzung einer digitalen Patient Journey Herzinsuffizienz abgegeben.

Improving the interoperability of healthcare information systems is a crucial clinical care issue involving disparate but coexisting information systems. However, healthcare organizations are also facing the dilemma of choosing the right ETL tool and architecture pattern as data warehouse enterprises. This article gives an overview of current ETL t...

Interoperability and portability of healthcare data to enable research in the healthcare sector is an important factor towards precision medicine and a learning health system. With many safety-nets put in place like the European General Data Protection Regulation, and local standards like the broad consent set up by the German Medical Informatics I...

BACKGROUND In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and are often non-interoperable or isolated. As the amount of health data increases, the number of isolated data silos is also expected to grow, limiting the accessibility of collected data. Medical Informatics is developing wa...

Background: In patient care, data are historically generated and stored in heterogeneous databases that are domain specific and often noninteroperable or isolated. As the amount of health data increases, the number of isolated data silos is also expected to grow, limiting the accessibility of the collected data. Medical informatics is developing w...

Data integration and exchange are becoming more crucial with the increasing amount of distributed systems and ever-growing amounts of data. This need is also widely known in medical research and not yet comprehensively solved. Practical implementation steps will demonstrate the different challenges in the context of the National Medical Informatics...

Semantic interoperability of clinical data is an imperative element for the reuse and sharing of clinical data across institutions, especially for the purposes of precision medicine and research. This makes semantic interoperability one of the core goals of the Medical Informatics Initiative with HiGHmed as one of its four consortia. Often, Hospit...

Proceedings of the Joint Conference of the 66th Annual Meeting of the German Association of Medical Informatics, Biometry, and Epidemiology e.V. (gmds) and the 13th Annual Meeting of the TMF – Technology, Methods, and Infrastructure for Networked Medical Research e.V. online conference / Kiel / 2021 / all full paper are open access

The primary intention of any scientific work is to share the gained knowledge and to contribute to the knowledge and progress in the scientific domain. The wide range of journals and conferences, each with specific submission requirements, can be difficult to navigate, especially for young scientists without extensive experience. But a suitable pub...

Abstract: (1) Background: New sensor technologies in wearables and other consumer health devices open up promising opportunities to collect real-world data. As cardiovascular diseases remain reason number one for disease and mortality worldwide, cardiology offers potent monitoring usecases with patients in their out-of-hospital daily routine. There...

Background: The aim of the German Medical Informatics Initiative is to establish a national infrastructure for integrating and sharing health data. To this, Data Integration Centers are set up at university medical centers, which address data harmonization, information security and data protection. To capture patient consent, a common informed con...

Report zum Workshop "Erst zum Arzt oder gleich die App?!" auf der 64. GMDS-Jahrestagung, Dortmund 2019.

Today, medical data such as diagnoses, procedures, imaging reports and laboratory tests, are not only collected in context of primary research and clinical studies. In addition, citizens are tracking their daily steps, food intake, sport exercises, and disease symptoms via mobile phones and wearable devices. In this context, the topic of “data dona...

Presentation of the Paper "Provenance Solutions for Medical Research in Heterogeneous IT-Infrastructures - An Implementation Roadmap" at Medinfo 2019 in Lyon, France.

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...

Integrating data from various source systems to gain knowledge and meaningful data about patients for care and research is challenging. This work demonstrates how medication knowledge data from the database of the Federal Union of German Associations of Pharmacists (ABDA) can be used for storing and annotating medicinal products in an openEHR medic...

BACKGROUND The field of eHealth has a history of more than twenty years. During that time many different eHealth services were developed. Factors influencing the adoption of such services were, however, seldomly the main focus of analyses. For this reason, organizations adopting and implementing eHealth services seem not to be fully aware of barrie...

BACKGROUND Supporting recruitment of clinical trials using software tools integrated into medical care environments, so called patient recruitment systems (PRSs), recently increased. PRSs in literature are integrated in electronic medical records (EMRs), electronic health records (EHRs), and also personal health records (PHRs) integrating PRSs are...

Introduction: This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. HiGHmed brings together 24 partners from academia and industry, aiming at improvements in care provision, biomedical research and epidemiology. By establishing a shared information governance framework, data int...

The re-use of healthcare information for biomedical research is increasing and with it the importance of a consent management framework implementing computable consents. Based on requirements concerning a consent representation the Advanced Patient Privacy Consents (APPC) Profile of Integrating the Healthcare Enterprise (IHE) is evaluated and mappe...

Das Forschungsfeld „Consumer Health Informatics“, das den Nutzer von digitalen Gesundheitsanwendungen in den Blickpunkt rückt, ist noch eine relativ junge Disziplin. Die GMDS-Arbeitsgruppe „Consumer Health Informatics“ möchte den Bereich an der Schnittstelle von Medizininformatik und Versorgungsforschung weiterentwickeln und seine Potenziale sic...

Providing patients with access to their medical data has recently evolved as a topic in several countries. Different approaches are possible. For example patient portals are used for patient access towards medical data. The University Hospital Heidelberg is engaged in a research project to develop a personal cross-enterprise electronic health recor...

A patient portal with access to a personal cross-enterprise electronic health record (PEHR) had to be developed for the project "INFormation technology for PATient-oriented healthcare in the Rhine-Neckar metropolitan region" (INFOPAT). Liferay was chosen as the platform technology in previous researches. Multiple portlets for patients, study member...

Giving the patient full control over his medical data electronically remains one of the most discussed topics in healthcare today. The INFOPAT project in the Rhine-Neckar region focuses on a personal cross-enterprise electronic health record (PEHR) in which the patient plays a major role. Thus, he should be provided with the possibility of granting...

Over the last years we stepwise implemented our vision of a personal cross-enterprise electronic health record (PEHR) in the Rhine-Neckar-Region in Germany. The patient portal is one part of the PEHR architecture with IHE connectivity. The patient is enabled to access and manage his medical record by use of the patient portal. Moreover, he can give...

Making clinical information available for research is not only relevant for healthcare institutions, but also for regional EHRs, as cross-sectorial information can be made accessible. In the INFOPAT (INFOrmation technology for PATient-oriented health care in the Rhine-Neckar metropolitan region) project we are thus implementing both, a regional per...

Background: Telemedicine systems are today already used in a variety of areas to improve patient care. The lack of standardization in those solutions creates a lack of interoperability of the systems. Internationally accepted standards can help to solve the lack of system interoperability. With Integrating the Healthcare Enterprise (IHE), a worldw...

Patient records - types of Electronic Medical Records - are implemented to support patient recruitment. Different types of patient records have not yet been analyzed as to the number of Patient Recruitment System requirements can be found in each type of patient record. According to our analysis, personal electronic health records (PEHRs) tend to a...

Computerization and increasing need for evidence based medicine are not stopping at biomedical research. Clinical trials need participants and the problem of matching patients with eligibility criteria to support clinical trials has many different solutions. A detailed analysis of stakeholders' requirements would help implementing better patient re...

First Experiences Implementing an IHE-Based Open Source Patient Portal N. Yüksekogul, P. Pensold, K. Stein, B. Schreiweis, B. Bergh, O. Heinze Center for Information Technology and Medical Engineering, Heidelberg University Hospital, Germany Introduction: The University Hospital Heidelberg is implementing a personal electronic health record (PEHR)...

Secondary use or single source is still far from routine in healthcare, although lots of data are available either structured or unstructured. As data are stored in multiple systems, using them for biomedical research is difficult. Clinical data warehouses already help overcoming this issue, but currently they are only used for certain parts of bio...

(1) To define features and data items of a Patient Recruitment System (PRS); (2) to design a generic software architecture of such a system covering the requirements; (3) to identify implementation options available within different Hospital Information System (HIS) environments; (4) to implement five PRS following the architecture and utilizing th...

Introduction The University Hospital Heidelberg is implementing a personal electronic health record (PEHR). One aspect is to provide access control, consent and content management to the patients. Thus a patient portal is required, which is usable by patients in every age and with different technical backgrounds in order to address this aspect. 1....

Background Computerized clinical trial recruitment support is one promising field for the application of routine care data for clinical research. The primary task here is to compare the eligibility criteria defined in trial protocols with patient data contained in the electronic health record (EHR). To avoid the implementation of different patient...

Clinical trials have often got problems in achieving their recruitment target. Making the recruitment process more efficient and timely is tried to achieve in Heidelberg by implementing a software-based system to support patient recruitment. The architecture implemented in Heidelberg was developed in a multi-center research project named 'EHR-based...

Objectives: Hospital Information Systems (HISs) are a very important factor to support the quality of patient care. They are supposed to make the right information and knowledge available to the right people, in the right place, at the right time and in the right form. To improve a HIS, its current state needs to be known. 3LGM2 (Three-layer Graphb...

Einleitung und Fragestellung Die PROSIT Diesease Modelling Community ist eine Open Source Entwicklungsgemeinschaft zur Erstellung gesundheitsökonomischer Erkrankungsmodelle für die Kosten-Nutzen Bewertung der Behandlung von Diabetes mellitus [1]. Im Januar 2008 wurde der erste Release Candidate des PROSIT Modells für Nephropathie bei Typ 2 Diabetes...