Related Experiment Video
Updated: Jan 24, 2026

A Multicenter MRI Protocol for the Evaluation and Quantification of Deep Vein Thrombosis
Published on: June 2, 2015
Evaluation of Multicenter Registry Data
Sebastian P Schraven1, Robert Mlynski1
1Klinik und Poliklinik für Hals-Nasen-Ohrenheilkunde, Kopf- und Halschirurgie "Otto Körner", Universitätsmedizin Rostock.
Abstract:
A registry actively documents and standardizes patient data on pre-defined questions. The term "register" emphasizes the data-holding aspect with the aim of describing epidemiological relationships and differences, supporting quality assurance and improvement, as well as clinical research. The evaluation of efficacy in the medical care routine, the monitoring of patient safety as well as economic evaluation and minimum quantity research are further tasks of registries. Patients and reporting institutions determine the quality of registries through completeness and high data validity. This must be taken into account when designing, financing and operating a registry. The analysis of potentially confounding or effect modifying variables is of significant importance for the evaluation of multi-center data from registers. Regular feedback to reporting institutions, patient information, public announcements and scientific publications as well as compliance with data protection regulations increase the transparency of the register. Otorhinolaryngology has few points of contact with registries. An exception is the integration into the cancer registry and the newborn hearing screening registry, which is currently under construction. The great variety of measurable outcome parameters in otorhinolaryngology, such as in otology, phoniatrics, rhinology, allergology, etc., forms the basis for various potential registers. Clinical questions, prevention measures, quality assurance, health care research and recommendations for health policy would be scientifically sound and evidence-based.
More Related Videos
14:45Enumeration of Major Peripheral Blood Leukocyte Populations for Multicenter Clinical Trials Using a Whole Blood Phenotyping Assay
Published on: September 16, 2012
11:41Evaluation of an Exclusive Spur Dike U-Turn Design with Radar-Collected Data and Simulation
Published on: February 1, 2020
Related Concept Videos
How Data are Classified: Numerical Data
Quantitative data may be either discrete or continuous. All quantitative data that take on only specific numerical...
How Data are Classified: Categorical Data
Data are classified based on whether they are measurable or not. Categorical data cannot be measured; instead, it can be divided into categories. For example, if Y denotes a person's party affiliation, some examples of Y include...
Data Reporting and Recording
Data Collection I
Data Validation
Nursing assessment guides are generally based on holistic models rather than medical...
Data Validation
Key parameters for method validation include: