Sekundäre Nutzung von hausärztlichen Routinedaten ist
                    machbar – Bericht vom RADAR Projekt

Hauswaldt, Johannes; Bahls, Thomas; Blumentritt, Arne; Demmer, Iris; Drepper, Johannes; Groh, Roland; Heinemann, Stephanie; Hoffmann, Wolfgang; Kempter, Valérie; Pung, Johannes; Rienhoff, Otto; Schlegelmilch, Falk; Wieder, Philipp; Yahyapour, Ramin; Hummers, Eva

doi:10.1055/a-1676-4020

Cited by 2 publications

(2 citation statements)

References 15 publications

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“…This is the reason why the BDT has been employed by the RADAR project, to extract healthcare data for a research network of General Practitioners. In RADAR, 40 variables from BDT data sets have been identified by domain experts as of scientific interest [8]. These variables have been categorized into eleven semantic groups which will be used for comparison in this paper: diagnoses, medication, laboratory results, findings, therapies, other procedures, time and date data, patient's general and permanent data, practice characteristics, cost unit and billing, including a relevance rating (classified as high, medium, low) in relation to health research [9].…”

Section: Introductionmentioning

confidence: 99%

How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation

Koch,

Richter,

Hauswaldt

et al. 2023

German Medical Data Sciences 2023 – Science. Close to People.

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Introduction: There is increasing interest on re-use of outpatient healthcare data for research, as most medical diagnosis and treatment is provided in the ambulatory sector. One of the early projects to bring primary data from German ambulatory care into clinical research technically, organizationally and in compliance with legal demands has been the RADAR project, that is based on a broad consent and has used the then available practice information system’s interfaces to extract and transfer data to a research repository. In course of the digital transformation of the German healthcare system, former standards are abandoned and new interoperability standards, interfaces and regulations on secondary use of patient data are defined, however with slow adoption by Health-IT systems. Therefore, it is of importance for all initiatives that aim at using ambulatory healthcare data for research, how to access this data in an efficient and effective way. Methods: Currently defined healthcare standards are compared regarding coverage of data relevant for research as defined by the RADAR project. We compare four architectural options to access ambulatory health data through different components of healthcare and health research data infrastructures along the technical, organizational and regulatory conditions, the timetable of dissemination and the researcher’s perspective. Results: A high-level comparison showed a high degree of semantic overlap in the information models used. Electronic patient records and practice information systems are alternative data sources for ambulatory health data - but differ strongly in data richness and accessibility. Conclusion: Considering the compared dimensions of architectural routes to access health data for secondary research use we conclude that data extraction from practice information systems is currently the most promising way due to data availability on a mid-term perspective. Integration of routine data into the national research data infrastructures might be enforced by convergence of to date different information models.

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Section: Introductionmentioning

confidence: 99%

How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation

Koch,

Richter,

Hauswaldt

et al. 2023

German Medical Data Sciences 2023 – Science. Close to People.

View full text Add to dashboard Cite

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“…Since the German ambulatory care sector is highly separated from inpatient care and is organized in mostly privately run practices under free provider choice [9], there is a wide range of applied electronic health record systems (EHRs) that are largely inadequate to extract data [10,11]. Several feasibility studies have shown how the use of routine data for ambulatory care would be technically possible [12,13], but are hindered by outdated software interfaces, insufficient software maintenance, organizational and financial burdens imposed by software vendors, and deficient IT standards [6].…”

Section: Introductionmentioning

confidence: 99%

The use of routine data from primary care practices in Germany to analyze the impact of the outbreak of SARS-CoV-2 on the utilization of primary care services for patients with type 2 diabetes mellitus

et al. 2022

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Background Routinely collected health data from ambulatory care providers offer a wide range of research opportunities. However, the access is often (e.g., technically) hindered, particularly in Germany. In the following, we describe the development of an infrastructure for the analysis of pseudonymized routine data extracted from primary care practices in Germany. Further, we analyze the impact of the outbreak of SARS-CoV-2 on the utilization of primary care services for patients with type 2 diabetes mellitus (DM type 2). Methods In this retrospective cohort study, routine data were extracted from nine private primary care practices before and since the outbreak of SARS-CoV-2 in Germany. The sample consisted of patients who were treated between 2016 and 2022 in one of the participating practices. The effects of the outbreak on the frequency of practice visits and the disease course of DM type 2 patients were analyzed by means of bivariate and multivariate analyses. Results The developed infrastructure offers an analysis of routine data from outpatient care within 24 h. In total, routine data of 30,734 patients could be processed for the analyses with 4182 (13.6%) patients having a diagnosed DM type 2 and 59.0% of these patients were enrolled in a disease management program (DMP). In the multivariate analysis, there was a significant negative effect of the SARS-CoV-2 outbreak on utilization of outpatient services of patients with DM type 2 disease. This decrease was less pronounced among DMP patients. The glycated haemoglobin level (HbA1c) has not changed significantly. Conclusions The study showed that the analysis of routine data from outpatient care in Germany is possible in a timely manner using a special developed electronic health record system and corresponding software. The significantly negative effect of the SARS-CoV-2 outbreak on utilization of outpatient services of patients with DM type 2 disease was less pronounced among DMP patients. Two years after the start of the Covid pandemic a significantly worsened course of illness cannot be observed. However, it must be taken into account that the observation period for clinically relevant outcomes is still relatively short.

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Sekundäre Nutzung von hausärztlichen Routinedaten ist machbar – Bericht vom RADAR Projekt

Cited by 2 publications

References 15 publications

How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation

How to Make Outpatient Healthcare Data in Germany Available for Research in the Dynamic Course of Digital Transformation

The use of routine data from primary care practices in Germany to analyze the impact of the outbreak of SARS-CoV-2 on the utilization of primary care services for patients with type 2 diabetes mellitus

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