Search

Introduction: Data during routine patient care are created in multiple digital and paper-based hardcopy systems, therefore their retrieval is cumbersome in the follow-up of patients. Multiple sclerosis is the most prevalent neurological disorder in the young age, with major consequences on health and socio-economic status., Aim: We set forth to create a user-friendly, detailed local database where it is easy to access, register and analyze data. Based on our experiences during building this registry, we develop the model of a modern type of database., Method: First we established a local registry in Excel, then data were transferred to the worldwide used iMed system. Separate pages were used to register basic data, follow-up visits, relapses, accompanying diseases, results of neuroimaging, cerebrospinal fluid, evoked response and other tests, pharmacological and non-pharmacological treatments., Results: The database currently contains data of 316 patients. MRI was performed in 96%, cerebrospinal fluid examination in 45% of the patients. The rate of primary progressive disease at disease onset is 9%. Disease modifying treatments were applied in 82% of the patients., Conclusion: The traditional manual data entry and data export in PDF format is obsolete and time-consuming. The development of local disease-specific databases appropriate for clinical and research purposes requires continuous and mostly automatic data entry. In future local registries the establishment of uniform documentational language and structure, and automatic transfer of information among different digital systems are required. We present the model of such a registry, which is based on a healthcare data lake. Orv Hetil. 2019; 160(4): 131-137.

Results of the food consumption surveys are utilized in many areas, such as for example risk assessment, cognition of consumer trends, health education and planning of prevention projects. Standardization of national consumption data for international comparison is an important task. The intention work began in the 1970s. Because of the widespread utilization of food consumption data, many international projects have been done with the aim of their harmonization. The present study shows data collection methods for groups of the food consumption data, their utilization, furthermore, the stations of the international harmonization works in details. The authors underline that for the application of the food consumption data on the international level, it is crucial to harmonize the surveys' parameters (e.g. time of data collection, method, number of participants, number of the analysed days and the age groups). For this purpose the efforts of the EU menu project, started in 2012, are promising.