Refine
Has Fulltext
- yes (9)
Is part of the Bibliography
- yes (9)
Document Type
- Journal article (9) (remove)
Language
- English (9)
Keywords
- cardiac magnetic resonance imaging (2)
- data warehouse (2)
- electronic health records (2)
- EUROASPIRE survey (1)
- GFAP (1)
- HiGHmed (1)
- ICD-coding of CKD (1)
- MRI (1)
- NfL (1)
- ST-elevation myocardial infarction (1)
Institute
- Medizinische Klinik und Poliklinik I (8)
- Institut für Informatik (6)
- Deutsches Zentrum für Herzinsuffizienz (DZHI) (5)
- Institut für Klinische Epidemiologie und Biometrie (2)
- Institut für diagnostische und interventionelle Radiologie (Institut für Röntgendiagnostik) (2)
- Institut für Pharmakologie und Toxikologie (1)
- Institut für Virologie und Immunbiologie (1)
- Klinik und Poliklinik für Thorax-, Herz- u. Thorakale Gefäßchirurgie (1)
- Neurologische Klinik und Poliklinik (1)
- Universität Würzburg (1)
Sonstige beteiligte Institutionen
A deep integration of routine care and research remains challenging in many respects. We aimed to show the feasibility of an automated transformation and transfer process feeding deeply structured data with a high level of granularity collected for a clinical prospective cohort study from our hospital information system to the study's electronic data capture system, while accounting for study-specific data and visits. We developed a system integrating all necessary software and organizational processes then used in the study. The process and key system components are described together with descriptive statistics to show its feasibility in general and to identify individual challenges in particular. Data of 2051 patients enrolled between 2014 and 2020 was transferred. We were able to automate the transfer of approximately 11 million individual data values, representing 95% of all entered study data. These were recorded in n = 314 variables (28% of all variables), with some variables being used multiple times for follow-up visits. Our validation approach allowed for constant good data quality over the course of the study. In conclusion, the automated transfer of multi-dimensional routine medical data from HIS to study databases using specific study data and visit structures is complex, yet viable.