Björn Schreiweis | Christian-Albrechts-Universität zu Kiel (original) (raw)

Papers by Björn Schreiweis

Research Square (Research Square), Mar 21, 2024

Studies in health technology and informatics, Jan 25, 2024

Bundesgesundheitsblatt, Gesundheitsforschung, Gesundheitsschutz, Apr 25, 2024

Studies in health technology and informatics, May 18, 2023

The use and shareability of Clinical Quality Language (CQL) artefacts is an important aspect in e... more 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 showcase the possibilities of multidisciplinary teams and how CQLs could be best used to support clinical decision making.

Background: The field of eHealth has a history of more than 20 years. During that time, many diff... more 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 barriers and facilitators influencing the integration of eHealth services into routine care. Objective: The objective of this work is to provide (1) a comprehensive list of relevant barriers to be considered and (2) a list of facilitators or success factors to help in planning and implementing successful eHealth services. Methods: For this study, a twofold approach was applied. First, we gathered experts' current opinions on facilitators and barriers in implementing eHealth services via expert discussions at two health informatics conferences held in Europe. Second, we conducted a systematic literature analysis concerning the barriers and facilitators for the implementation of eHealth services. Finally, we merged the results of the expert discussions with those of the systematic literature analysis. Results: Both expert discussions (23 and 10 experts, respectively) identified 15 barriers and 31 facilitators, whereas 76 barriers and 268 facilitators were found in 38 of the initial 56 articles published from 12 different countries. For the analyzed publications, the count of distinct barriers reported ranged from 0 to 40 (mean 10.24, SD 8.87, median 8). Likewise, between 0 and 48 facilitators were mentioned in the literature (mean 9.18, SD 9.33, median 6). The combination of both sources resulted in 77 barriers and 292 facilitators for the adoption and implementation of eHealth services. Conclusions: This work contributes a comprehensive list of barriers and facilitators for the implementation and adoption of eHealth services. Addressing barriers early, and leveraging facilitators during the implementation, can help create eHealth services that better meet the needs of users and provide higher benefits for patients and caregivers.

DatenDebatten

Telemedizin, datenbasierte Gesundheitsanalysen, Health-Apps und mobile Geräte zur individuellen G... more Telemedizin, datenbasierte Gesundheitsanalysen, Health-Apps und mobile Geräte zur individuellen Gesundheitskontrolle – immer mehr Gesundheitsdienstleistungen werden mit Hilfe digitaler Dienste und Strukturen angeboten. Vor diesem Hintergrund beleuchten Daten- und Verbraucherschützer, Mediziner und Gesundheitsapp-Entwickler, Rechts- und Gesellschaftswissenschaftler die fachliche Vielfalt der Thematik – und geben viele konkrete Impulse, wie E-Health-Innovationen gefördert und zugleich die Rechte und Interessen von Patienten gewahrt werden.

Studies in health technology and informatics, Nov 3, 2022

Improving the interoperability of healthcare information systems is a crucial clinical care issue... more 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 tools for healthcare data integration. In addition, we demonstrate three ETL processes for clinical data integration using different ETL tools and architecture patterns, which map data from various data sources (e.g. ME-ONA and ORBIS) to diverse standards (e.g. FHIR and openEHR). Depending on the project's technical requirements, we choose our ETL tool and software architecture pattern to boost team efficiency.

Springer Fachmedien Wiesbaden eBooks, 2022

BACKGROUND In patient care, data are historically generated and stored in heterogeneous databases... more 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 ways to move from siloed data to a more harmonized arrangement in information architectures. This paradigm shift will allow future research to integrate medical data at many levels and from various sources. Currently comprehensive requirements engineering is working on data integration projects both in a patient care- and research-oriented context and they are significantly contributing to the success of such data integration projects. In addition to various stakeholder-based methods, document-based requirements elicitation is a valid method to improve the scope and quality of requirements. OBJECTIVE Our main objective is to provide a genera...

Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 2016

In der Originalpublikation wurde der Artikeltitel leider falsch angegeben. Der korrekte Titel lau... more In der Originalpublikation wurde der Artikeltitel leider falsch angegeben. Der korrekte Titel lautet: Die Rolle von Integrating the Healthcare Enterprise (IHE) in der Telemedizin. Wir bitten den Fehler zu entschuldigen.

Studies in Health Technology and Informatics

Interoperability and portability of healthcare data to enable research in the healthcare sector i... more 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 Initiative, management and compliance to these standards across all systems and clinical data repositories becomes a daunting task. An appropriate process needs to be established especially when patient data is transferred to and from different systems and standards. On extraction and transforming, an appropriate method of loading the modified data to a destination where it can be read and accessed needs to be established besides functional compliance by the repository systems. This paper makes recommendations in relation to data load strategies while working with FHIR server-based data marts.

Bundesgesundheitsblatt - Gesundheitsforschung - Gesundheitsschutz, 2015

Table 1: Contains the export of the queried databases on which the search is based. Table 2: Show... more Table 1: Contains the export of the queried databases on which the search is based. Table 2: Shows which criteria lead to the exclusion during eligibility and backward reference analysis. Table 3: Categorization of PROMs.

Einleitung: Ob ein Patient zur Teilnahme an einer klinischen Studie potentiell geeignet ist, wird... more Einleitung: Ob ein Patient zur Teilnahme an einer klinischen Studie potentiell geeignet ist, wird über Ein- und Ausschlusskriterien festgelegt, die das Patientenkollektiv definieren. Die Menge an Routinedaten, die im Rahmen der Patientenversorgung primär elektronisch erfasst wird, nimmt kontinuierlich[for full text, please go to the a.m. URL]

BACKGROUND Clinical trials constitute an important pillar in medical research. It is beneficial t... more 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 collection methods strongly influence the benefits of implementing patient recruitment support systems, we investigated patient recruitment support system requirements and corresponding electronic record types such as electronic medical record, electronic health record, electronic medical case record, personal health record, and personal cross-enterprise health record. OBJECTIVE The aim of this study was to (1) define requirements for successful patient recruitment support system deployment and (2) differentiate and compare patient recruitment support system–relevant properties of different electronic record types. METHODS In a previous study, we gathered requirements for patient recruitment support systems from literature and unstructured interviews with stakeholders (15 patients, 3 physicians, 5 data privacy experts, 4 researchers, and 5 staff members of hospital administration). For this investigation, the requirements were amended and categorized based on input from scientific sessions. Based on literature with a focus on patient recruitment support system–relevant properties, different electronic record types (electronic medical record, electronic health record, electronic medical case record, personal health record and personal cross-enterprise health record) were described in detail. We also evaluated which patient recruitment support system requirements can be achieved for each electronic record type. RESULTS Patient recruitment support system requirements (n=16) were grouped into 4 categories (consent management, patient recruitment management, trial management, and general requirements). All 16 requirements could be partially met by at least 1 type of electronic record. Only 1 requirement was fully met by all 5 types. According to our analysis, personal cross-enterprise health records fulfill most requirements for patient recruitment support systems. They demonstrate advantages especially in 2 domains (1) supporting patient empowerment and (2) granting access to the complete medical history of patients. CONCLUSIONS In combination with patient recruitment support systems, personal cross-enterprise health records prove superior to other electronic record types, and therefore, this integration approach should be further investigated.