[The Medical Informatics Initiative at a glance-establishing a health research data infrastructure in Germany]. / Die Medizininformatik-Initiative im Überblick ­ Aufbau einer Gesundheitsforschungsdateninfrastruktur in Deutschland.

The Medical Informatics Initiative (MII) funded by the Federal Ministry of Education and Research (BMBF) 2016-2027 is successfully laying the foundations for data-based medicine in Germany. As part of this funding, 51 new professorships, 21 junior research groups, and various new degree programs have been established to strengthen teaching, training, and continuing education in the field of medical informatics and to improve expertise in medical data sciences. A joint decentralized federated research data infrastructure encompassing the entire university medical center and its partners was created in the form of data integration centers (DIC) at all locations and the German Portal for Medical Research Data (FDPG) as a central access point. A modular core dataset (KDS) was defined and implemented for the secondary use of patient treatment data with consistent use of international standards (e.g., FHIR, SNOMED CT, and LOINC). An officially approved nationwide broad consent was introduced as the legal basis. The first data exports and data use projects have been carried out, embedded in an overarching usage policy and standardized contractual regulations. The further development of the MII health research data infrastructures within the cooperative framework of the Network of University Medicine (NUM) offers an excellent starting point for a German contribution to the upcoming European Health Data Space (EHDS), which opens opportunities for Germany as a medical research location.

[Nationally standardized broad consent in practice: initial experiences, current developments, and critical assessment]. / National standardisierter Broad Consent in der Praxis: erste Erfahrungen, aktuelle Entwicklungen und kritische Betrachtungen.

BACKGROUND: The digitalization in the healthcare sector promises a secondary use of patient data in the sense of a learning healthcare system. For this, the Medical Informatics Initiative's (MII) Consent Working Group has created an ethical and legal basis with standardized consent documents. This paper describes the systematically monitored introduction of these documents at the MII sites. METHODS: The monitoring of the introduction included regular online surveys, an in-depth analysis of the introduction processes at selected sites, and an assessment of the documents in use. In addition, inquiries and feedback from a large number of stakeholders were evaluated. RESULTS: The online surveys showed that 27 of the 32 sites have gradually introduced the consent documents productively, with a current total of 173,289 consents. The analysis of the implementation procedures revealed heterogeneous organizational conditions at the sites. The requirements of various stakeholders were met by developing and providing supplementary versions of the consent documents and additional information materials. DISCUSSION: The introduction of the MII consent documents at the university hospitals creates a uniform legal basis for the secondary use of patient data. However, the comprehensive implementation within the sites remains challenging. Therefore, minimum requirements for patient information and supplementary recommendations for best practice must be developed. The further development of the national legal framework for research will not render the participation and transparency mechanisms developed here obsolete.

Towards a National Portal for Medical Research Data (FDPG): Vision, Status, and Lessons Learned.

Harmonizing medical data sharing frameworks is challenging. Data collection and formats follow local solutions in individual hospitals; thus, interoperability is not guaranteed. The German Medical Informatics Initiative (MII) aims to provide a Germany-wide, federated, large-scale data sharing network. In the last five years, numerous efforts have been successfully completed to implement the regulatory framework and software components for securely interacting with decentralized and centralized data sharing processes. 31 German university hospitals have today established local data integration centers that are connected to the central German Portal for Medical Research Data (FDPG). Here, we present milestones and associated major achievements of various MII working groups and subprojects which led to the current status. Further, we describe major obstacles and the lessons learned during its routine application in the last six months.

[Research Data Center on Health - Vision for Further Development from the Research Perspective]. / Forschungsdatenzentrum Gesundheit ­ Vision für eine Weiterentwicklung aus Sicht der Forschung.

The German research data center for health will provide claims data of statutory health insurances. The data center was set up at the medical regulatory body BfArM pursuant to the German data transparency regulation (DaTraV). The data provided by the center will cover about 90% of the German population, supporting research on healthcare issues, including questions of care supply, demand and the (mis-)match of both. These data support the development of recommendations for evidence-based healthcare. The legal framework for the center (including §§ 303a-f of Book V of the Social Security Code and two subsequent ordinances) leaves a considerable degree of freedom when it comes to organisational and procedural aspects of the center's operation. The present paper addresses these degrees of freedom. From the point of view of researchers, ten statements show the potential of the data center and provide ideas for its further and sustainable development.

The COVID-19 Data Exchange Platform of the German University Medicine.

COVID-19 has challenged the healthcare systems worldwide. To quickly identify successful diagnostic and therapeutic approaches large data sharing approaches are inevitable. Though organizational clinical data are abundant, many of them are available only in isolated silos and largely inaccessible to external researchers. To overcome and tackle this challenge the university medicine network (comprising all 36 German university hospitals) has been founded in April 2020 to coordinate COVID-19 action plans, diagnostic and therapeutic strategies and collaborative research activities. 13 projects were initiated from which the CODEX project, aiming at the development of a Germany-wide Covid-19 Data Exchange Platform, is presented in this publication. We illustrate the conceptual design, the stepwise development and deployment, first results and the current status.

[Now is the Time to Establish an Efficient Health Research Data Centre]. / Jetzt die Weichen stellen für ein leistungsfähiges Forschungsdatenzentrum Gesundheit.

Based on sections 303a to 303f social code book V, the course is currently being set for an innovative and high-performance national information and data platform. This requires short-term provision of current and relevant data on the health care system, especially process data on statutory health insurance and other social insurance carriers, using established methodological standards as well as taking into account data protection regulations. From the point of view of future users, expectations regarding an "ideal" research health data centre are formulated in ten recommendations. The present article is an offer from health services researchers intended to support decision-makers in the field of politics and self-administration in the German health system in their task of establishing and further development of a research health data centre.

Recent Trends in Patient Registries for Health Services Research.

BACKGROUND: Patient registries are an established methodology in health services research. Since more than 150 years, registries collect information concerning groups of similar patients to answer research questions. Elaborated recommendations about an appropriate development and an efficient operation of registries are available. However, the scene changes rapidly. OBJECTIVES: The aim of the study is to describe current trends in registry research for health services research. METHODS: Registries developed within a German funding scheme for model registries in health services research were analyzed. The observations were compared with recent recommendations of the Agency for Healthcare Research and Quality (AHRQ) on registries in the 21st century. RESULTS: Analyzing six registries from the funding scheme revealed the following trends: recruiting healthy individuals, representing familial or other interpersonal relationships, recording of patient-reported experiences or outcomes, accepting participants as study sites, active informing of participants, integrating the registry with other data collections, and transferring data from the registry to electronic patient records. This list partly complies with the issues discussed by the AHRQ. The AHRQ structured its ideas in five chapters, increasing focus on the patient, engaging patients as partners, digital health and patient registries, direct-to-patient registry, and registry networks. CONCLUSION: For the near future, it can be said that the concept and the design of a registry should place the patient in the center. Registries will be increasingly linked together and interconnected with other data collections. New challenges arise regarding the management of data quality and the interpretation of results from less controlled settings. Here, further research related to the methodology of registries is needed.

Secondary research use of personal medical data: attitudes from patient and population surveys in The Netherlands and Germany.

Making routine clinical-care-data available for medical research requires adequate consent to legitimize use and exchange. While, public interest in supporting medical research is increasing, individuals often find it difficult to actively enable researchers to access their data. In addition to broad consent, the idea of (consent-free) data donation has been brought into play as another way to legitimize secondary research use of medial data. However, flanking the implementation of broad consent policies or data donation, the attitude of patients, and the general public toward different aspects of these approaches needs to be assessed. We conducted two empirical studies to this end among Dutch patients (n = 7430) and representative German citizens (n = 1006). Wide acceptance of broad consent was observed among Dutch patients (92.3%), corroborating previous findings among German patients (93.0%). Moreover, 28.8% of the Dutch patients generally approved secondary data-use for non-academic research, 42.3% would make their decision dependent upon the type of institution in question. In the German survey addressing the general population, 78.8% approved data donation without explicit consent as an alternative model of legitimization, the majority of those who approved (96.7%) would allow donated data to be used by universities and public research institutions. This willingness to support contrasted sharply with the fact that only 16.6% would allow access to the data by industry. Our findings thus not only add empirical evidence to the debate about broad consent and data donation, but also suggest that widespread public discussion and education about the role of industry in medical research is necessary in that context.

German Medical Informatics Initiative.

This article is part of the Focus Theme of Methods of Information in Medicine on the German Medical Informatics Initiative. The Medical Informatics Initiative (MII) was launched within the scope of the German Federal Ministry of Education and Research's (BMBF) Medical Informatics Funding Scheme, with the goal of developing infrastructure for the integration of clinical data from patient care and medical research in Germany. Its work is to be performed over the course of a decade (2016-2025) across three funding phases, with the first two concentrating on university hospitals. During the conceptual phase (now concluded), a central supporting project ensured coordination - and laid the ground for standardised solutions for all the initiative's sites and scientific consortia that will enable effective data use and exchange, both for health care as well as research. The conceptual phase focused on the following: a) interoperability, through the consistent use of international standards (from an early stage, i.e. primary IT systems in patient care); b) standardised templates for patient consent and harmonised data protection; and c) standard rules for data use and access (monitoring and safeguarding access to data). On this basis, the initiative aims in the long term to improve medical research (particularly health care research, using data from treatments), to accelerate the transfer of knowledge from research to patient care - and to provide important impetus for the digitalization of medicine in Germany.

IT Infrastructure for Registries in Health Services Research: A Market Study in Germany.

Registries are increasingly implemented to record the practice of health care. Within a national funding scheme for registries, an accompanying project was launched to support the design of the registries' IT infrastructure amongst other tasks for 16 projects. A challenge of data management systems was organized by the accompanying project in order to enable the projects to define realistic expectations towards IT support in their research protocols. Twelve vendors participated in the challenge. They presented their solutions for selected use cases. In advance, the projects considered a sufficient authorization concept and the possibility to export data to be of highest importance. However, the systems covered mainly core processes of electronic data capture. The accompanying project will continue its support for the next stage of the funding scheme, which will be the implementation of the registries that win a competitive review of their research protocols prepared in the concept development stage.

[Field tests for the beta version of the ICD-11-MMS in Germany: background and methods]. / Feldtests zur Betaversion der ICD-11-MMS in Deutschland: Hintergrund und Methodik.

BACKGROUND: The World Health Organization (WHO) has been developing the 11th revision of the International Classification of Diseases (ICD) since 2007. ICD-11 is different from the ICD-10 in volume and structure. Therefore, the WHO planned field tests with a coding of diagnoses and cases. OBJECTIVES: To describe the background of the field tests and their implementation in Germany. MATERIALS AND METHODS: Interested parties were invited to submit proposals through a call to the Association of the Scientific Medical Societies (AWMF). The Technology, Methods, and Infrastructure for Networked Medical Research (TMF) was responsible for the coordination, supported by the German Institute for Medical Documentation and Information (DIMDI). The target was a beta version of the ICD-11 for Mortality and Morbidity Statistics (ICD-11-MMS), denoted as "draft for quality assurance". RESULTS: Eleven field tests were maintained between March and September 2017. With the exception of one field test analyzing diagnoses terms from the thesaurus of the ICD-10-GM, all field tests focused on a specific medical field. Eight different quality criteria were investigated over the 11 field tests, and 22 of the 27 chapters of the ICD-11-MMS were at least partially covered. CONCLUSIONS: Despite the strict time frame, the field tests were successfully implemented and concluded in Germany. Mostly, the ICD-11 tools from the WHO were used. A high percentage of the ICD chapters were partially covered. In summary, it has been demonstrated for the first time that field tests are a valuable approach to evaluate the ICD in parallel to its development. However, a methodological framework integrating the field tests should be developed, taking into account all relevant requirements.

[Current modalities and concepts on access and use of biospecimen samples and associated data for research from human biobanks]. / Nutzungskonzepte für Proben und Daten aus humanen Biobanken für die Forschung.

It is accepted worldwide that biospecimen and data sharing (BDS) play an essential role for the future of medical research to improve diagnostics and prognostics, e.g. by validated biomarkers. BDS is also pivotal to the development of new therapeutic treatments and for the improvement of population health. Human biobanks can generate an added value to this need by providing biospecimens and/or associated data to researchers. An inspection of several examples of epidemiological as well as clinical/disease-oriented biobanks in Germany shows that best practice procedures (BPP) that are internationally agreed on are being installed for biospecimen and/or data access. In general, fair access is aimed at requiring a written application by the requesting scientist, which is then peer-reviewed for scientific and ethical validity by the Biobank. Applied BPP take into account (i) patient education/agreement according to the informed consent model, (ii) privacy protection, (iii) intellectual property rights, the (iv) notification obligation of health-related findings (including incidental findings), the (v) use of material (MTA) and data transfer agreements (DTA) for mutual legal security, the avoidance of conflicts of interests, as well as for cost recovery/fee for service as a basis for sustainability of the biobank. BPP are rooted in the self-regulation efforts of life sciences and are supported by parent ethics committees in Germany. Central biobank registries displaying aggregated information on biospecimens stored and the research foci constitute an important tool to make biobanks that are scattered across the country visible to each other, and, can thus promote access to hitherto unknown biospecimen and data resources.

Balancing the need for big data and patient data privacy--an IT infrastructure for a decentralized emergency care research database.

Emergency rooms of hospitals provide care to a lot of patients and have great impact on their outcome, so researching the quality of care seems important. Research using registries has yielded impressive results in other areas of medicine. However centralized data-storage has its pitfalls, especially regarding data privacy. We therefore drafted an IT infrastructure that uses decentralized storage to ensure data privacy, but still enables data transfer between participating hospitals. It implements an independent information broker to ensure anonymity of patients. Still it provides a way for researchers to request data and hospitals to contribute data on an opt-in basis. Although not an entirely new approach, the emphasis on data privacy throughout the design is a novel aspect providing a better balance between the need for big sample sizes and patient privacy.

Business aspects and sustainability for healthgrids - an expert survey.

Grid computing initiatives in medicine and life sciences are under pressure to prove their sustainability. While some first business model frameworks were outlined, few practical experiences were considered. This gap has been narrowed by an international survey of 33 grid computing experts with biomedical and non-biomedical background on business aspects. The experts surveyed were cautiously optimistic about a sustainable implementation of grid computing within a mid term timeline. They identified marketable application areas, stated the underlying value proposition, outlined trends and specify critical success factors. From a general perspective of their answers, they provided a stable basis for a road map of sustainable grid computing solutions for medicine and life sciences.

Economic performance and sustainability of HealthGrids: evidence from two case studies.

Financial sustainability is not a driving force of HealthGrids today, as a previous desk research survey of 22 international HealthGrid projects has showed. The majority of applications are project based, which puts a time limit of funding, but also of goals and objectives. Given this situation, we analysed two initiatives, WISDOM and MammoGrid from an economic, cost-benefit perspective, and evaluated the potential for these initiatives to be brought to market as self-financing, sustainable services. We conclude that the topic of HealthGrids should be pursued further because of the substantial potential for net gains to society at large. The most significant hurdle to sustainability - the discrepancy between social benefits and private incentives - can be solved by sound business models.