Electronic medical records and biobanking

Копылова, О. В.; Ершова, А. И.; Efimova, I. A.; Блохина, А. В.; Лимонова, А. С.; Borisova, A. L.; Pokrovskaya, M. S.; Драпкина, О. М.

doi:10.15829/1728-8800-2022-3425

Cardiovasc Ther Prev

2022

DOI: 10.15829/1728-8800-2022-3425

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Electronic medical records and biobanking

О. В. Копылова¹,

А. И. Ершова²,

I. A. Efimova³

et al.

Abstract: Biosample preservation for future research is a fundamental component of translational medicine. At the same time, the value of stored biosamples is largely determined by the presence of related clinical data and other information. Electronic medical records are a unique source of a large amount of information received over a long period of time. In this regard, genetic and other types of data obtained from the biosample analysis can be associated with phenotypic and other types of information stored in electr… Show more

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2023

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Cited by 3 publications

References 27 publications

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Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part I. Organizational and methodological aspects

Borisova,

Kopylova,

Pokrovskaya

et al. 2023

Cardiovasc Ther Prev

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Aim. To develop an algorithm and manage total biobanking of samples of whole blood, serum and plasma of patients in the hospital of the National Medical Research Center for Therapy and Preventive Medicine in order to create a detailed biosample collection through the integration of electronic medical records and a biobank database.Material and methods. The study includes all patients admitted to the hospital of the National Medical Research Center for Therapy and Preventive Medicine in various departments who signed informed consent for biobanking. Clinical information is collected as part of patient examination and stored in electronic medical records in the Medialog medical information system. Biobanking of blood and related products is carried out in accordance with standard operating procedures. From each patient, 12 aliquots of serum and blood plasma are stored, as well as 1 tube of whole blood with ethylenediaminetetraacetic acid potassium salt. Information about biospecimens, patient identification numbers and storage location coordinates are contained in the biobank database.Results. An algorithm for total biobanking of biomaterial and data from inpatients has been developed and put into practice. This collection is associated with large biomedical data stored in a medical information system, laboratory information system and biobank. The combined databases make it possible to search for samples in the collection according to specified criteria.Conclusion. The collection developed can be used for a wide range of studies by forming patient samples according to the necessary criteria. The developed algorithm for total biobanking in a hospital can be used in various medical centers equipped with biobanks.

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Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part I. Organizational and methodological aspects

Borisova,

Kopylova,

Pokrovskaya

et al. 2023

Cardiovasc Ther Prev

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Specifics of creating clinical abstract of biospecimens

Kopylova,

Ershova,

Borisova

et al. 2023

Cardiovasc Ther Prev

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One technology that helps overcome the problem of low research reproducibility is biobanking, which involves maintaining strict quality standards at all stages. In addition to data on the biosample (detailed documentation on sampling, transportation, preparation and subsequent storage), one of the key points is the availability of information about the donor (patient). The aim of this article was to analyze creating clinical abstract of biospecimens, combining data from various biobanks and assessing the possibilities of electronic medical records and other modern technologies for this. The search for publications was carried out in the PUBMED, eLIBRARY.RU, RSCI databases. One approach to creating a clinical description is the targeted collection of information by a specially trained employee. Primary information is most often taken from the individual records of the study participant, which are developed and approved when planning work. An alternative method is the use of electronic medical records and other documents that collect information during the assessment and treatment of patients. There are also mixed types of clinical data collection, a prime example of which is the UK Biobank. Completeness, structure, and standardization are essential characteristics of clinical description associated with biospecimens. Various standards are currently being developed to unify clinical description, making biobanks and collections more available to external researchers and organizations, which is necessary for collaboration and more efficient use of stored biospecimens. Harmonization of clinical description methodology between different biobanks open up broad boundaries for large- scale research within personalized and translational medicine.

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Artificial intelligence technologies in medicine. Problems of establishment

Borodulina,

Gribova,

Vdoushkina

2023

Vrach

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In the period of global digitalization of society and healthcare, special attention is paid to the development of artificial intelligence (AI) technologies in medicine. To date, there are two main approaches to implementing AI technology based on machine learning methods and knowledge. In the former case, datasets are used; in the latter case, there is the knowledge acquired from scientific sources or experts. Each of the methods has both advantages and disadvantages. Medical decision support systems are being actively developed and implemented. But is everything so simple?

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Electronic medical records and biobanking

Cited by 3 publications

References 27 publications

Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part I. Organizational and methodological aspects

Biobanking in the hospital of a multidisciplinary research medical center as a potential for a wide research range. Part I. Organizational and methodological aspects

Specifics of creating clinical abstract of biospecimens

Artificial intelligence technologies in medicine. Problems of establishment

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