Your browser doesn't support javascript.
loading
Show: 20 | 50 | 100
Results 1 - 5 de 5
Filter
1.
Med Klin Intensivmed Notfmed ; 117(1): 24-33, 2022 Feb.
Article in German | MEDLINE | ID: mdl-33346852

ABSTRACT

BACKGROUND: Emergency care in Germany is in transition. Emergency departments (EDs) treat their patients based on symptoms and acuity. However, this perspective is not reflected in claims data. The aim of the AKTIN project was to establish an Emergency Department Data Registry as a data privacy-compliant infrastructure for the use of routine medical data. METHODS: Data from the respective documentation systems are continuously transmitted to local data warehouses using a standardized interface. They are available for several applications such as internal reports but also multicentre studies, in compliance with data privacy regulations. Based on a 12-months period we evaluate the population with focus on acuity assessment (triage) and vital parameters in combination with presenting complaints. RESULTS: For the period April 2018 to March 2019, 436,149 cases from 15 EDs were available. A triage level is documented in 86.0% of cases, and 70.5% were triaged within 10 min of arrival. Ten EDs collected a presenting complaint regularly (82.3%). The respective documentation of vital signs shows plausible patterns. CONCLUSIONS: The AKTIN registry provides an almost real-time insight into German EDs, regardless of the primary documentation system and health insurance claims data. The Federal Joint Committee's requirements are largely met. Standardized presenting complaints allow for symptom-based analyses as well as health surveillance.


Subject(s)
Emergency Medical Services , Emergency Medicine , Emergency Service, Hospital , Humans , Registries , Triage
2.
Gesundheitswesen ; 76(12): 865-873, 2014 Dec.
Article in German | MEDLINE | ID: mdl-25525679

ABSTRACT

Registries and cohort studies play a central role in patient-oriented medical research, in particular in health services research. In order to increase the transparency about ongoing registries and cohort studies in Germany, and to promote communication and cooperation between the drivers in the field a so-called register portal should be established. Metadata are characteristics that are used to describe registries and cohort studies in the register portal. A limited set of characteristics, the core set, should correctly describe the projects on the one hand while reducing workload for data capture and data administration on the other hand. The core set consists of 26 data elements that had been defined in a Delphi-consensus process involving experts from the working group registries of the German Network for Health Services Research (DNVF) and the working group IT infrastructure and quality management of the Technology, Methods, and Infrastructure for Networked Medical Research (TMF). Transparent policies are required to guarantee traceability and reliability of the portal's services. Six so-called top-level-tasks and 37 use cases were defined in an interim report so far. The metadata have been agreed upon by most of the member associations of the DNVF. Metadata and rules of procedures are the starting point for the practical implementation of the register portal in the next future.


Subject(s)
Cohort Studies , Health Policy , Information Dissemination/methods , Information Storage and Retrieval/methods , Meta-Analysis as Topic , Registries/statistics & numerical data , Germany , Internet
3.
Gesundheitswesen ; 72(11): 824-39, 2010 11.
Article in German | MEDLINE | ID: mdl-20872343

ABSTRACT

On August 30, 2010, the German Network for Health Services Research [Deutsches Netzwerk Versorgungsforschung e. V. (DNVF e. V.)] approved the Memorandum III "Methods for Health Services Research", supported by their member societies mentioned as authors and published in this Journal [Gesundheitswesen 2010; 72: 739-748]. Registries in Health Services Research vary in their aims and research questions as well as in their designs, methods of data collection, and statistical analyses. This paper aims to provide both a methodological guideline for developers to ensure a high quality of a planned registry and, to provide an instrument for users of data from registries to assess their overall quality. First, the paper provides a definition of registries and presents an overview of objectives in Health Services Research where registries can be useful. Second, several areas of methodological importance for the development of registries are presented. This includes the different phases of a registry (i. e., conceptual and preliminary design, implementation), technical organisation of a registry, statistical analysis, reporting of results, data protection, and ethical/legal aspects. From these areas, several criteria are deduced to allow the assessment of the quality of a registry. Finally, a checklist to assess a registry's quality is presented.


Subject(s)
Health Services Research/statistics & numerical data , Registries/statistics & numerical data , Data Collection/statistics & numerical data , Germany , Humans , Research Design/statistics & numerical data
4.
Appl Clin Inform ; 1(4): 419-29, 2010.
Article in English | MEDLINE | ID: mdl-23616851

ABSTRACT

OBJECTIVE: Within translational research projects in the recent years large biobanks have been established, mostly supported by homegrown, proprietary software solutions. No general requirements for biobanking IT infrastructures have been published yet. This paper presents an exemplary biobanking IT architecture, a requirements specification for a biorepository management tool and exemplary illustrations of three major types of requirements. METHODS: We have pursued a comprehensive literature review for biobanking IT solutions and established an interdisciplinary expert panel for creating the requirements specification. The exemplary illustrations were derived from a requirements analysis within two university hospitals. RESULTS: The requirements specification comprises a catalog with more than 130 detailed requirements grouped into 3 major categories and 20 subcategories. Special attention is given to multitenancy capabilities in order to support the project-specific definition of varying research and bio-banking contexts, the definition of workflows to track sample processing, sample transportation and sample storage and the automated integration of preanalytic handling and storage robots. CONCLUSION: IT support for biobanking projects can be based on a federated architectural framework comprising primary data sources for clinical annotations, a pseudonymization service, a clinical data warehouse with a flexible and user-friendly query interface and a biorepository management system. Flexibility and scalability of all such components are vital since large medical facilities such as university hospitals will have to support biobanking for varying monocentric and multicentric research scenarios and multiple medical clients.

5.
Methods Inf Med ; 48(5): 408-13, 2009.
Article in English | MEDLINE | ID: mdl-19621114

ABSTRACT

OBJECTIVES: Our objectives were to develop, based on the analysis of archived clinical trial documents and data and on the requirements of GCP-compliant electronic archiving, a concept for legally secure and technically feasible archiving of the entire clinical trial, including the essential documents of the trial master file and the study database. METHODS: Based on own experiences with CDISC, existing implementations and future developments, CDISC standards were evaluated concerning requirements for archiving clinical studies. Trial master files of a small, medium and large clinical study were analyzed to collect specifications for electronic archiving of records. RESULTS: Two different ways of long-term storage exist for the clinical trial archive: document-oriented archival and data archiving of the study database. The trial master file has a highly complex structure; its different parts can vary greatly in size, depending of the working style of investigators, number of patients recruited, the number of adverse event reports and the number of queries. The CDISC standard ODM is especially suited for archiving clinical trials, because among other features it contains the entire clinical trial data and full audit trail information. On the other hand SDTM is a content standard suited for data warehouses. Two recent developments in CDISC will affect the archival of studies: the further development of ODM in the area of "eCRF submission" and the use of "Electronic Source Data". CONCLUSIONS: The complexity and size of the trial master file requires new solutions. Though ODM provides effective means to archive the study database, it shows still deficiencies, especially for the joint archiving of data and the complex documentation of the trial master file. A concept was developed in which the ODM standard is part of an integrated archiving of the trial data and documents. ODM archiving of the study database enables long-term storage which is GCP-compliant. Archiving of documents of the trial master file in PDF/A, including links and electronic signatures, as well as the storage of selected study data in a data warehouse at the sponsor site in SDTM are the other components of the concept.


Subject(s)
Archives , Clinical Trials as Topic/statistics & numerical data , Data Collection/standards , Information Storage and Retrieval/standards , Medical Informatics Computing/standards , Medical Records Systems, Computerized/standards , Benchmarking/standards , Computer Communication Networks/standards , Computer Security/standards , Database Management Systems/standards , Documentation/standards , Germany , Humans , Mathematical Computing , Reference Standards
SELECTION OF CITATIONS
SEARCH DETAIL