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Large databases in healthcare – opportunities and prospects

https://doi.org/10.33667/2078-5631-2022-25-8-11

Abstract

The use of information technologies, including the use of large databases, is a promising area of medicine. Databases are used in clinical medicine, healthcare organizations, hygiene, and occupational medicine. Studies based on a large number of observations make it possible to analyze the diagnosis, prognosis of diseases, evaluation of the rational use of medicines, epidemiology of diseases. Examples of successful use of databases in bioinformatics, biomedicine, systems biology, the study of prognostic indicators in various fields of medicine, the determination of reference values of laboratory indicators taking into account population characteristics are given. Healthcare data is plentiful, but it is stored in institutions, clinics, hospitals, registries or insurance companies, which leads to underutilization of resources, redundancy and inefficiency. An important long-term task is their integration. The review presents the requirements for databases, so that they are not just archival repositories, but databases that allow conducting research and analyzing data.

About the Authors

N. V. Orlova
N.I. Pirogov Russian National Research Medical University; Research Institute for Systems Biology and Medicine
Russian Federation

Orlova Natalya V., DM Sci (habil.), professor at Dept of Faculty Therapy, Faculty of Pediatrics N.I. Pirogov Russian National Research Medical University, senior analyst of the Analytical Dept Research Institute for Systems Biology and Medicine

Moscow

eLibrary SPIN-code: 8775–1299



K. S. Gorbunov
Research Institute for Systems Biology and Medicine
Russian Federation

Gorbunov Konstantin S., acting head of Epidemiology Laboratory

Moscow

eLibrary SPIN-code: 9555–2767



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Review

For citations:


Orlova N.V., Gorbunov K.S. Large databases in healthcare – opportunities and prospects. Medical alphabet. 2022;(25):8-11. (In Russ.) https://doi.org/10.33667/2078-5631-2022-25-8-11

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ISSN 2078-5631 (Print)
ISSN 2949-2807 (Online)