Hauswaldt, Johannes

[["dc.bibliographiccitation.firstpage","394"],["dc.bibliographiccitation.issue","1"],["dc.bibliographiccitation.journal","Journal of Translational Medicine"],["dc.bibliographiccitation.volume","18"],["dc.contributor.author","Bahls, Thomas"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Demmer, Iris"],["dc.contributor.author","Blumentritt, Arne"],["dc.contributor.author","Rau, Henriette"],["dc.contributor.author","Drepper, Johannes"],["dc.contributor.author","Wieder, Philipp"],["dc.contributor.author","Groh, Roland"],["dc.contributor.author","Hummers, Eva"],["dc.contributor.author","Schlegelmilch, Falk"],["dc.date.accessioned","2020-10-29T15:25:39Z"],["dc.date.available","2020-10-29T15:25:39Z"],["dc.date.issued","2020"],["dc.description.abstract","Medical data from family doctors are of great importance to health care researchers but seem to be locked in German practices and, thus, are underused in research. The RADAR project (Routine Anonymized Data for Advanced Health Services Research) aims at designing, implementing and piloting a generic research architecture, technical software solutions as well as procedures and workflows to unlock data from family doctor's practices. A long-term medical data repository for research taking legal requirements into account is established. Thereby, RADAR helps closing the gap between the European countries and to contribute data from primary care in Germany."],["dc.identifier.doi","10.1186/s12967-020-02547-x"],["dc.identifier.pmid","33076938"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/17623"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68099"],["dc.language.iso","en"],["dc.notes.intern","Merged from goescholar"],["dc.relation","RADARplus - Anonymisierte Routinedaten aus der ambulanten Versorgung für die Versorgungsforschung"],["dc.relation.issn","1479-5876"],["dc.relation.orgunit","Institut für Medizinische Informatik"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://goescholar.uni-goettingen.de/licenses"],["dc.title","Designing and piloting a generic research architecture and workflows to unlock German primary care data for secondary use"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","22"],["dc.bibliographiccitation.journal","Zeitschrift für Evidenz, Fortbildung und Qualität im Gesundheitswesen"],["dc.bibliographiccitation.lastpage","31"],["dc.bibliographiccitation.volume","149"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Demmer, Iris"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Himmel, Wolfgang"],["dc.contributor.author","Hummers, Eva"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Schlegelmilch, Falk"],["dc.contributor.author","Drepper, Johannes"],["dc.date.accessioned","2020-10-29T15:25:48Z"],["dc.date.available","2020-10-29T15:25:48Z"],["dc.date.issued","2019-12"],["dc.description.abstract","The use of primary care data gathered from electronic health records in local practices could be an important building block for the future of health services research. However, the risks and reservations associated with using this data for research purposes should not be underestimated. We show the data protection and privacy problems that may arise through secondary analysis of routine primary care data and describe the technical solutions that are available to address these concerns - as a trust-building measure."],["dc.identifier.doi","10.1016/j.zefq.2020.01.002"],["dc.identifier.pmid","32165110"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68101"],["dc.language.iso","other"],["dc.relation","RADARplus - Anonymisierte Routinedaten aus der ambulanten Versorgung für die Versorgungsforschung"],["dc.relation.eissn","2212-0289"],["dc.relation.issn","1865-9217"],["dc.relation.orgunit","Institut für Medizinische Informatik"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY-NC-ND 4.0"],["dc.title","Das Risiko von Re-Identifizierung bei der Auswertung medizinischer Routinedaten – Kritische Bewertung und Lösungsansätze"],["dc.title.alternative","The risk of re-identification when analyzing electronic health records: a critical appraisal and possible solutions"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","94"],["dc.bibliographiccitation.journal","BMC Family Practice"],["dc.bibliographiccitation.volume","17"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.contributor.author","Himmel, Wolfgang"],["dc.date.accessioned","2018-11-07T10:11:29Z"],["dc.date.available","2018-11-07T10:11:29Z"],["dc.date.issued","2016"],["dc.description.abstract","Background: An increase in a patient's visits to doctors usually raises concerns and may be a 'red flag' for a patient's deterioration of health. The aim of this study was to analyze whether an increase of patient-physician contacts is a first sign of a malignancy in a patient's near future. Methods: This is a retrospective case-control study. From 153 German general practices' electronic patient records (EPR), cases with at least one new malignancy diagnosis and no-malignancy controls were matched for gender and age. We calculated (1) the number of contacts in the first quarter up to the sixth quarter before a malignancy diagnosis was made and (2) the inter-contact interval (ICI), i.e. the time lag between two consecutive patient-physician contacts measured in days. Differences between cases and controls were investigated in several analyses of variance, with group and time as main factors. Results: A total of 3,310 cases and 3,310 controls could be included. The number of contacts for cases in the six quarters before a malignancy diagnosis increased from 4.8 contacts (SD 4.3) to 5.5 contacts (SD 4.8). The number of contacts for controls increased only marginally from 4.3 contacts (SD 3.6) to 4.5 (SD 4.2). The factor 'group' (cases vs. controls) was highly significant in the analyses of variance, also 'time' and the interaction 'group time'. The effect size, however, was very small (R-2 being less than 0.02), which is the equivalent for about one additional contact per quarter in cases directly before a newly made malignancy diagnosis. Conclusion: An increase in contact frequency is a call for GPs to become more attentive towards these patients. It may raise the suspicion of an impending serious disease but the increase is not so dramatic and unique that it can be interpreted a reliable sign of a malignant diagnosis."],["dc.identifier.doi","10.1186/s12875-016-0477-0"],["dc.identifier.isi","000380281900001"],["dc.identifier.pmid","27456975"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/13851"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/40055"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1471-2296"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY 4.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/4.0"],["dc.title","Does an increase in visits to general practice indicate a malignancy?"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","987"],["dc.bibliographiccitation.issue","11"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","993"],["dc.bibliographiccitation.volume","80"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Kempter, Valérie"],["dc.contributor.author","Himmel, Wolfgang"],["dc.contributor.author","Hummers, Eva"],["dc.date.accessioned","2020-12-10T18:12:04Z"],["dc.date.available","2020-12-10T18:12:04Z"],["dc.date.issued","2018"],["dc.identifier.doi","10.1055/a-0668-5817"],["dc.identifier.eissn","1439-4421"],["dc.identifier.issn","0941-3790"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/74235"],["dc.language.iso","de"],["dc.notes.intern","DOI Import GROB-354"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.title","Hindernisse bei der sekundären Nutzung hausärztlicher Routinedaten"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.issue","14"],["dc.bibliographiccitation.journal","Deutsches Ärzteblatt international"],["dc.bibliographiccitation.volume","110"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.contributor.author","Junius-Walker, Ulrike"],["dc.date.accessioned","2018-11-07T09:26:07Z"],["dc.date.available","2018-11-07T09:26:07Z"],["dc.date.issued","2013"],["dc.identifier.doi","10.3238/arztebl.2013.0254b"],["dc.identifier.isi","000317953100006"],["dc.identifier.pmid","23616821"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/30222"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1866-0452"],["dc.title","In Reply: Health Service Use Among Patients With Chronic or Multiple Illnesses, and Frequent Attenders: Secondary Analysis of Routine Primary Care Data From 1996 to 2006"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","letter_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","323-31"],["dc.bibliographiccitation.issue","6"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","331"],["dc.bibliographiccitation.volume","72"],["dc.contributor.author","Kersting, M."],["dc.contributor.author","Gierschmann, A."],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.date.accessioned","2021-08-26T13:16:23Z"],["dc.date.available","2021-08-26T13:16:23Z"],["dc.date.issued","2010-06"],["dc.description.abstract","An advanced and integrative information technology (IT)-landscape is needed for optimal support of future processes in health-care, including health services research. Most researches in the primary care sector are based on data collected for reimbursement. The aim of this study is to show the limits and options of secondary analysis based on data that was exported via the \"Behandlungsdatentransfer\" (treatment data transport) BDT-interface in the software systems of German general practitioners and afterwards prepared for further research in SPSS. From the middle of 2005 to the end of 2007 all 168 teaching practices of the Hannover Medical School (MHH) were invited to join the study. Finally routine data from 28 practices could be collected successfully. The data from 139 other practices which had been collected for the project \"Health Care in Practice\" (\"Medizinische Versorgung in der Praxis\" - MedViP) was also added to the pool. The process of data preparation included a complete cycle from data collection, merging the data in a relational database system, via statistics and analysis to publishing and generating a feedback report for the participating practices. During the whole study the limits and options of this method were systematically identified. Of the 168 practices, 68 (40.5%) were interested to participate. From 28 (16.7%) physicians the data could be exported from their software systems. In 15 (8.9%) cases no collection was possible due to technical and in 26 (15.5%) to administrative reasons. The method of data extraction varied, as the BDT-interface was differently implemented by the software companies. Together with the MedViP data, the database at the MHH now consists of 167 practices with 974 304 patients and 12 555 943 treatments. For 44.1% of the 11 497 899 prescription entries an anatomic therapeutic chemical (ATC) code could be applied, by matching the entries to the master data from the Scientific Institute of Local Health-Care Funds (\"Wissenschaftliches Instituts der Ortskrankenkassen\" - WIdO). Periodically consistent sets of SPSS files could successfully be created for further research and feedback reports for the participating practices were generated as portable document format (PDF) files. The BDT-interface seems quite out of date, but can still reveal interesting information, especially on data about medical treatments and findings. Much of the data is contained in fields based on free text, which makes analysis difficult. Coded information, like agents, as ATC, could partially be extracted from the data, which afterwards was easy to prepare for further research. Quality and content of the data depend mainly on the data enterer, the physicians and their practice staff. Future research could be improved by more classified and coded data, which would better be transported through an interface more advanced than BDT."],["dc.identifier.doi","10.1055/s-0030-1249689"],["dc.identifier.pmid","20491004"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/88831"],["dc.language.iso","other"],["dc.relation.eissn","1439-4421"],["dc.relation.issn","0941-3790"],["dc.title","Routinedaten aus hausärztlichen Arztinformationssystemen – Export, Analyse und Aufbereitung für die Versorgungsforschung"],["dc.title.alternative","Routine data from general practitioner's software systems - Export, analysis and preparation for research"],["dc.type","journal_article"],["dc.type.internalPublication","unknown"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","348"],["dc.bibliographiccitation.issue","9"],["dc.bibliographiccitation.journal","Zeitschrift für Allgemeinmedizin"],["dc.bibliographiccitation.lastpage","353"],["dc.bibliographiccitation.volume","90"],["dc.contributor.author","Bleidorn, Jutta"],["dc.contributor.author","Heim, Susanne"],["dc.contributor.author","Lingner, Heidrun"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.date.accessioned","2021-09-07T13:08:55Z"],["dc.date.available","2021-09-07T13:08:55Z"],["dc.date.issued","2014"],["dc.identifier.doi","10.3238/zfa.2014.0348–0353"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/89303"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.title","Wie sehen Hausärzte allgemeinmedizinische Forschung im Praxennetz? Eine Fokusgruppenanalyse"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]

[["dc.contributor.author","Blumentritt, Arne"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.date.accessioned","2020-10-29T15:25:58Z"],["dc.date.available","2020-10-29T15:25:58Z"],["dc.date.issued","2017"],["dc.identifier.doi","10.3205/17dkvf413"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/68104"],["dc.relation.conference","16. Deutscher Kongress für Versorgungsforschung"],["dc.relation.eventend","2017-10-06"],["dc.relation.eventlocation","Berlin"],["dc.relation.eventstart","2017-10-04"],["dc.relation.orgunit","Institut für Medizinische Informatik"],["dc.title","Routine Anonymized Data for Advanced Ambulatory Health Services Research, RADAR"],["dc.type","conference_abstract"],["dc.type.internalPublication","yes"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.artnumber","162"],["dc.bibliographiccitation.journal","BMC Family Practice"],["dc.bibliographiccitation.volume","14"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Himmel, Wolfgang"],["dc.contributor.author","Hummers-Pradier, Eva"],["dc.date.accessioned","2018-11-07T09:18:30Z"],["dc.date.available","2018-11-07T09:18:30Z"],["dc.date.issued","2013"],["dc.description.abstract","Background: Frequent attenders receive much attention in primary care research. Defining frequent attendance is crucial for an adequate view on this group of demanding patients. We aimed to develop a purely contact-based definition of \"frequent attendance\" and to apply it to real patients. Methods: From electronic records of 123 general practices in Germany, patients' inter-contact intervals (ICI) between two consecutive doctor-patient-contacts were calculated in this retrospective observational study. ICI less than 7 days were labelled \"frequent attendance\", patients with 60% or more of such intervals \"frequent attenders (new view)\". In contrast, patients having at least 24 contacts per calendar year were considered \" frequent attenders (traditional view)\". Both groups were analysed in their diseases and demands, using multiple logistic regression. Results: A total of 177,057 patients with at least 3 ICI in 1996 until 2006 yielded 4,408,033 ICI. One third were \"short\" ICI (less than 7 days), resulting in 19,759 (11.2%) frequent attenders (new). In contrast, 22,921 (12.9%) patients were frequent attenders (traditional). Compared to non-frequent attenders, frequent attenders (new) were more likely to have pneumonia (OR 1.66), stroke (OR 1.49), dementia (OR 1.46), or severe substance abuse (OR 1.44), also to need home visits or emergency attention. Frequent attenders (traditional) were more likely to have dementia (OR 2.76) or stroke (OR 2.06), and by far to need home visits (OR 5.43; all p < 0.001). Conclusions: A new measure, the interval in days of two consecutive face-to-face contacts (ICI), widens our perspective on frequent attenders in general practice. In many cases, their consultation behaviour and need for medical services seem to follow \"disease logic\"."],["dc.description.sponsorship","Open-Access-Publikationsfonds 2013"],["dc.identifier.doi","10.1186/1471-2296-14-162"],["dc.identifier.isi","000327451300001"],["dc.identifier.pmid","24152427"],["dc.identifier.purl","https://resolver.sub.uni-goettingen.de/purl?gs-1/9465"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/28427"],["dc.notes.intern","Merged from goescholar"],["dc.notes.status","zu prüfen"],["dc.notes.submitter","Najko"],["dc.relation.issn","1471-2296"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.rights","CC BY 2.0"],["dc.rights.uri","https://creativecommons.org/licenses/by/2.0"],["dc.title","The inter-contact interval: a new measure to define frequent attenders in primary care"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.peerReviewed","yes"],["dc.type.subtype","original_ja"],["dc.type.version","published_version"],["dspace.entity.type","Publication"]]

[["dc.bibliographiccitation.firstpage","S130"],["dc.bibliographiccitation.issue","S 02"],["dc.bibliographiccitation.journal","Das Gesundheitswesen"],["dc.bibliographiccitation.lastpage","S138"],["dc.bibliographiccitation.volume","83"],["dc.contributor.author","Hauswaldt, Johannes"],["dc.contributor.author","Bahls, Thomas"],["dc.contributor.author","Blumentritt, Arne"],["dc.contributor.author","Demmer, Iris"],["dc.contributor.author","Drepper, Johannes"],["dc.contributor.author","Groh, Roland"],["dc.contributor.author","Heinemann, Stephanie"],["dc.contributor.author","Hoffmann, Wolfgang"],["dc.contributor.author","Kempter, Valérie"],["dc.contributor.author","Pung, Johannes"],["dc.contributor.author","Hummers, Eva"],["dc.date.accessioned","2022-01-11T14:05:47Z"],["dc.date.available","2022-01-11T14:05:47Z"],["dc.date.issued","2021"],["dc.description.abstract","Zusammenfassung Ziel der Studie „Real world“-Daten aus der ambulanten Gesundheitsversorgung sind in Deutschland nur schwer systematisch und longitudinal zu erlangen. Unsere Vision ist eine permanente Datenablage mit repräsentativen, de-identifizierten Patienten- und Versorgungsdaten, längsschnittlich, fortwährend aktualisiert und von verschiedenen Versorgern, mit der Möglichkeit zur Verknüpfung mit weiteren Daten, etwa aus Patientenbefragungen oder biologischer Forschung, zugänglich für andere Forscher. Wir berichten methodische Vorgehensweisen und Ergebnisse aus dem RADAR Projekt.Methodik Untersuchung des Rechtsrahmens, Entwicklung prototypischer technischer Abläufe und Lösungen, mit Machbarkeitsstudie zur Evaluation von technischer und inhaltlicher Funktionalität sowie Eignung für Fragestellungen der Versorgungsforschung.Ergebnisse Ab 2016 entwickelte ein interdisziplinäres Wissenschaftlerteam ein Datenschutzkonzept für Exporte von Versorgungsdaten aus elektronischen Praxisverwaltungssystemen. Eine technische und organisatorische Forschungsinfrastruktur im ambulanten Sektor wurden entwickelt und im Anwendungsfall „Orale Antikoagulation“ (OAK) umgesetzt. In 7 niedersächsischen Hausarztpraxen wurden 100 Patienten gewonnen und nach informierter Einwilligung ihre ausgewählten Behandlungsdaten, reduziert auf 40 relevante Datenfelder, über die Behandlungsdatentransfer-Schnittstelle extrahiert, unmittelbar vor Ort in identifizierende bzw. medizinische Daten getrennt und verschlüsselt zur Treuhandstelle (THS) bzw. an den Datenhalter übertragen. 75 Patienten, die die Einschlusskriterien erfüllten (mind. 1 Jahr Behandlung mit OAK), erhielten einen Lebensqualitäts-Fragebogen über die THS per Post. Von 66 Rücksendungen wurden 63 Fragebogenergebnisse mit den Behandlungsdaten in der Datenablage verknüpft.Schlussfolgerung Die rechtskonforme Machbarkeit der Gewinnung von pseudonymisierten hausärztlichen Routinedaten mit expliziter informierter Patienteneinwilligung und deren wissenschaftliche Nutzung einschließlich Re-Kontaktierung und Einbindung von Fragebogendaten konnte nachgewiesen werden. Die Schutzkonzepte Privacy by design und Datenminimierung (Artikel 25 mit Erwägungsgrund 78 DSGVO) wurden systematisch in das RADAR Projekt integriert und begründen wesentlich, dass der Machbarkeitsnachweis rechtskonformer Primärdatengewinnung und sekundärer Nutzung für Forschungszwecke gelang. Eine Nutzung hinreichend anonymisierter, aber noch sinnvoller hausärztlicher Gesundheitsdaten ohne individuelle Einwilligung ist im bestehenden Rechtsrahmen in Deutschland schwerlich umsetzbar."],["dc.description.abstract","Zusammenfassung Ziel der Studie „Real world“-Daten aus der ambulanten Gesundheitsversorgung sind in Deutschland nur schwer systematisch und longitudinal zu erlangen. Unsere Vision ist eine permanente Datenablage mit repräsentativen, de-identifizierten Patienten- und Versorgungsdaten, längsschnittlich, fortwährend aktualisiert und von verschiedenen Versorgern, mit der Möglichkeit zur Verknüpfung mit weiteren Daten, etwa aus Patientenbefragungen oder biologischer Forschung, zugänglich für andere Forscher. Wir berichten methodische Vorgehensweisen und Ergebnisse aus dem RADAR Projekt.Methodik Untersuchung des Rechtsrahmens, Entwicklung prototypischer technischer Abläufe und Lösungen, mit Machbarkeitsstudie zur Evaluation von technischer und inhaltlicher Funktionalität sowie Eignung für Fragestellungen der Versorgungsforschung.Ergebnisse Ab 2016 entwickelte ein interdisziplinäres Wissenschaftlerteam ein Datenschutzkonzept für Exporte von Versorgungsdaten aus elektronischen Praxisverwaltungssystemen. Eine technische und organisatorische Forschungsinfrastruktur im ambulanten Sektor wurden entwickelt und im Anwendungsfall „Orale Antikoagulation“ (OAK) umgesetzt. In 7 niedersächsischen Hausarztpraxen wurden 100 Patienten gewonnen und nach informierter Einwilligung ihre ausgewählten Behandlungsdaten, reduziert auf 40 relevante Datenfelder, über die Behandlungsdatentransfer-Schnittstelle extrahiert, unmittelbar vor Ort in identifizierende bzw. medizinische Daten getrennt und verschlüsselt zur Treuhandstelle (THS) bzw. an den Datenhalter übertragen. 75 Patienten, die die Einschlusskriterien erfüllten (mind. 1 Jahr Behandlung mit OAK), erhielten einen Lebensqualitäts-Fragebogen über die THS per Post. Von 66 Rücksendungen wurden 63 Fragebogenergebnisse mit den Behandlungsdaten in der Datenablage verknüpft.Schlussfolgerung Die rechtskonforme Machbarkeit der Gewinnung von pseudonymisierten hausärztlichen Routinedaten mit expliziter informierter Patienteneinwilligung und deren wissenschaftliche Nutzung einschließlich Re-Kontaktierung und Einbindung von Fragebogendaten konnte nachgewiesen werden. Die Schutzkonzepte Privacy by design und Datenminimierung (Artikel 25 mit Erwägungsgrund 78 DSGVO) wurden systematisch in das RADAR Projekt integriert und begründen wesentlich, dass der Machbarkeitsnachweis rechtskonformer Primärdatengewinnung und sekundärer Nutzung für Forschungszwecke gelang. Eine Nutzung hinreichend anonymisierter, aber noch sinnvoller hausärztlicher Gesundheitsdaten ohne individuelle Einwilligung ist im bestehenden Rechtsrahmen in Deutschland schwerlich umsetzbar."],["dc.identifier.doi","10.1055/a-1676-4020"],["dc.identifier.uri","https://resolver.sub.uni-goettingen.de/purl?gro-2/97749"],["dc.language.iso","de"],["dc.notes.intern","DOI-Import GROB-507"],["dc.relation.eissn","1439-4421"],["dc.relation.issn","0941-3790"],["dc.relation.orgunit","Institut für Allgemeinmedizin"],["dc.title","Sekundäre Nutzung von hausärztlichen Routinedaten ist machbar – Bericht vom RADAR Projekt"],["dc.type","journal_article"],["dc.type.internalPublication","yes"],["dc.type.subtype","original_ja"],["dspace.entity.type","Publication"]]