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Issue 4 (194), article 4

DOI:https://doi.org/10.15407/kvt194.04.061

Kibern. vyčisl. teh., 2018, Issue 4 (194), pp.

Kozak L.M., DSc (Biology), Senior Researcher,
Leading Researcher of the Medical Information Systems Department
e-mail: lmkozak52@gmail.com

Kovalenko A.S., DSc (Medicine), Professor,
Head of the Medical Information Systems Department
e-mail: askov49@gmail.com

Krivova O.A., Researcher of the Medical Information Systems Department
e-mail: ol.kryvova@gmail.com

Romanyuk O.A., Junior Researcher of Medical Information Systems Department
e-mail: ksnksn7@gmail.com

International Research and Training Center for Information Technologies
and Systems of the National Academy of Sciences of Ukraine
and Ministry of Education and Science of Ukraine,
Glushkov ave., 40, Kiev, 03187, Ukraine

DIGITAL TRANSFORMATION IN MEDICINE: FROM FORMALIZED MEDICAL DOCUMENTS TO INFORMATION TECHNOLOGIES OF DIGITAL MEDICINE

Introduction. According to the Concept of Ukraine`s Digital Economy and Society Development in 2018-2020, the key components of “digitalization” are the development of digital infrastructure — broadband Internet throughout Ukraine, and the promotion of digital transformations in various sectors of the economy and society, including medicine.

The purpose of the paper is to analyze the stages of digital transformation in medicine and the results of authors and their colleagues of the MIS department for the development of information technologies of digital medicine.

Results. A generated model of digital transformation in medicine is presented and several main stages of this transformation are highlighted: І — digital transformation of primary medical information; ІІ — development of support systems for the diagnostic and treatment process; ІІІ — development of technologies and systems for supporting the physicians` activities with digital information; IV — mobile medicine; V — the digital medicine globalization. The method of determining the markers of the functional state of the cardiovascular system based on mathematical models of forecasting and classification with the use of Data Mining is proposed. The method allows detecting and determining the prognostic values of ECG parameters of the CVS functional state for different groups of patients. The developed IT for supporting the processes of receiving, transmitting and storing digital medical images is aimed at ensuring the effective operation of a physician with digital information from various sources: functional diagnostic complexes, digital medical data storage and images using Picture Archiving and Communication Systems (PACS) and cloud technologies . The proposed telemedicine systems theory including the formulated principles of organizing these systems, criteria and methods for analyzing digital medical data has been implemented for elaborating and functioning the Telemedicine Centre. It enables to cover the population in more than 20 Ukraine`s regions with qualified medical assistance.

Conclusions. The digital transformation in medicine like any new process takes place with a gradual complication of tasks, methods and means of their implementation: from formalization of primary medical information to improvement of methods of its analysis, transfer and storage to improve the quality of medical care for patients at any point of the world.

Keywords: digital transformation in medicine, formalized medical records, Data Mining, IT for assessing human state and physiological systems` state, telemedicine, m-medicine.

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REFERENCES

1. About the conceptualization of the concept of the development of the digital economy of Ukraine and 2018–2020 on the basis of the plan set for the project: Disposition of the Government of Ukraine. URL: http://www.me.gov.ua/Documents/ (Last accessed: 06.07.18) (in Ukranian).

2. The Nine Elements of Digital Transformation. URL:  https://sloanreview.mit.edu/article/the-nine-elements-of-digital-transformation/?social_token=d65abc6db70ba459408562abb8de32bc &utm_source= facebook&utm_medium=social&mmmmmt (Last accessed: 27.06.18)

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4. A. p. № 2002032456 Ukraine MKI. Method for the diagnosis of local changes in the myocardium state. V.A. Petrukhin, V.N. Mamaev, A.S. Kovalenko, T.V. Petrukhina, V.A. Shumakov. Announced 15.01.2003; publ. 03.28.2003. (in Russian).

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15. Krivova O.A., Kozak L.M. Comprehensive assessment of regional demographic devel-opment. Kibernetika i vyčislitel`naâ tehnika. Issue 182. 2015. P. 70–84 (in Russian).

16. Krivova, OA, Tchaikovsky, I.A., Kalnish, VV, Kozak, L.M. Vidbіr informative shows the variability of the rhythm of the heart – the markers of the reaction to his stimulation. Medical informatics and engineering. 2016. No. 2. pp. 37–44 (in Russian).

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19. EN ISO 12052: 2011. Health informatics. Digital work, including workflow and data management URL: http://iso.org. (Last accessed: 23.01.18)

20. Romanyuk O. A., Kovalenko A.S., Kozak L.M. Information support interoperability of instrumental studies and long-term storage of digital medical imaging in health care sys-tem. Kibernetika i vyčislitel`naâ tehnika. 2016. Iss. 184. P. 56–71 (in Russian).

21. Kovalenko A.S., Kozak L.M., Romanyuk O.A. Information technology of digital medi-cine. Kibernetika i vyčislitel`naâ tehnika. 2017. №1(187). P.67–79. (in Russian).

22. Kovalenko A.S., Kozak L.M., Ostashko V.G. Telemedicine — the development of a sin-gle medical information space. Upravlâûŝie sistemy i mašiny. 2005. № 3. P. 86–92 (in Russian).

23. Gritsenko V.I., Kozak L.M., Kovalenko A.S., Pezenzali A.A., Rogozinskaya N.S., Ostashko V.G. Medical information systems as elements of a unified medical informa-tion space. Kibernetika i vyčislitel`naâ tehnika, 2013, Iss. 174. P 30-46 (in Russian).

24. Kovalenko O.S., Kozak L.M., Romaniuk O.O., Maresova T.A., Nenasheva L.V., Fyniak G.I. Mobile applications in the structure of modern medical information systems. Upravlâûŝie sistemy i mašiny, 2018, №4. P. 57-69.

 

Received 29.08.2018

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Issue 1 (187), article 5

DOI: https://doi.org/10.15407/kvt187.01.067

Kibern. vyčisl. teh., 2017, Issue 1 (187), pp.67-80

Kovalenko A.S., Dr Medicine, Prof., Head of Department of Medical Information Systems
e-mail: askov49@gmail.com
Kozak L.M., Dr Biology, Leading Researcher of Department of Medical Information Systems
e-mail: lmkozak52@gmail.com
Romanyuk O.A., Junior Researcher of Department of Medical Information Systems
e-mail: ksnksn7@gmail.com

International Research and Training Center for Information Technologies and Systems of the NAS of Ukraine and Ministry of Education and Science of Ukraine,
av. Acad. Glushkova, 40, Kiev, 03680, Ukraine

INFORMATION TECHNOLOGY FOR DIGITAL MEDICINE

Introduction. The need of health care institutions in the repeated use of digital medical images by different specialists during patient care and long-term storage for the analysis of diagnostic information determines the relevance of this work. The need for means and methods of storage of digital medical data with their subsequent processing and analysis, as well as on mobile devices for the collection, digital data processing and exchange increase.

The purpose of the article is to analyze the experience of creating medical information systems, the development of information technology support the storage and processing of digital medical information and the further development of information technology for digital medicine.

Results. Employees of the department of medical information systems for more than 20 years of activities of the International Research and Training Centre for Information Technologies and Systems NAS and MES of Ukraine solved the problem of constructing the medical information systems and information diagnostics technologies with the use of electronic medical records, methods and means of the mathematical analysis of medical data. The developed technology support for storing and processing digital medical information combines into a single functional network the medical information system, instrumental diagnostic systems and a system of conservation and archiving digital medical images. PACS and cloud technologies was used for long-term storage of digital medical images.

Conclusion. Organization of long-term storage of digital medical images obtained from the diagnostic systems in health care facilities, and the ability to use this information by doctors at their workplace in the current diagnostic and treatment process was provided by using the developed information technology support for storing and processing digital medical information.

Keywords: medical information system, information technology, digital medical imaging, long-term storage.

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REFERENCE

  1. Amosov N.M. Voices of Times. Kiev, Oranta-Press, 1999. 500 p. (in Russian).
  2. Medical Information System. Kiev: Nauk. Dumka, 1975. 508 p. (in Russian).
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  4. Garbuz Y.I., Bogatyreva R.V., Kovalenko A.S. et al. National Computer Information System for monitoring the epidemic process in Ukraine. Monitoring technology. Vrachebnoye delo. 1999. №3. P. 3–12 (in Russian).
  5. Sinekop Y.S., Kovalenko O.S., Matrosova G.A. The use of computer technology to analyze problems of health and medical diagnostics. Elektronika i svyaz. 2001. №11. P. 114–117 (in Russian).
  6. Budnyk M., Kovalenko A., Berezovska T., Kozlovsky V. Finding of ROI Intervals at Cardiocycle for CAD Study in Magnetocardiography. International Journal of Bioelectromagnetism. 2003. Vol. 5, N 1. P. 107–108.
  7. Kozak L.M., Lukashenko M.V. Monitoring and correction students’ functional state by the information technology tools. Cybernetics and Computer Engineering. 176. 2014. P. 74–84.
  8. Yevtushenko A.S., Kozak L.M., Cochina M.L., Yaworskij A.V. The results of the use of factor models for the evaluation of human functional state when the visual work. Ukrainskiy zhurnal meditsini, biologii ta sportu. 2015. № 2 (2). P. 70–74 (in Russian).
  9. Rogozinskaya N.S., Kozak L.M. Dataware technologies automated health monitoring. Kibernetika i sistemnyy analiz. 2013. № 6. P. 162–173 (in Russian).
  10. Krivova O.A., Kozak L.M. Comprehensive assessment of regional demographic development. Kibernetika i vyčislitelnaâ tehnika. 182. 2015. P. 70–84 (in Russian).
  11. Vasylyk P.V., Kovalenko A.S., Bychkov V.V., Vasilega A.G. The role of environmental factors in the occurrence of bursts of accidents on the roads. Ukraina. Zdorov’ya natsii. 2008. №3–4 (7–8) p. 35–40 (in Russian).
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  14. Kovalenko O.S., Golubchikov N.V., Orlova N.M. Information systems in health and basic requirements for their creation. Management of health care. №1. 2007. P. 42–46 (in Ukrainian).
  15. Litvinov A.A., Kovalenko A.S., Golubchikov M.V. Features of the design of the subsystem “Statistics” hospital information system. Control systems and machine. 2007. №5. P. 61–67 (in Russian).
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  17. Kovalenko A.S., Kozak L.M., Ostashko V.G. Telemedicine — the development of a single medical information space. Control systems and machines. 2005. № 3. P. 86–92 (in Russian).
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Recieved 27.12.2016

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Issue 184, article 5

DOI:https://doi.org/10.15407/kvt184.02.056

KVT, 2016, Issue 184, pp.56-72

UDC 004.75+004.932.2:616

INFORMATION SUPPORT FOR INTEROPERABILITY OF INSTRUMENTAL DIAGNOSTIC SYSTEMS AND LONG-TERM STORAGE SYSTEM OF DIGITAL MEDICAL IMAGES IN HEALTH CARE INSTITUTIONS

Romanyuk O.A., Kovalenko A.S., Kozak L.M.

International Research and Training Center for Information Technologies and Systems of the National Academy of Sciences of Ukraine and Ministry of Education and Science of Ukraine, Kiev, Ukraine

ksnksn7@gmail.com , askov49@gmail.com , lmkozak52@gmail.com

 

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Introduction. The need of health care institutions in the repeated use of digital medical images by different specialists during patient care and long-term storage for the analysis of diagnostic information determines the relevance of this work.

The purpose of the article is to form technique for adapting the system of transmission and archiving of digital medical images according to the conditions of the health care institution.

Results. Analysis of medical image storage systems to select the specific software implementation according to the requirements of a particular medical institution was held. After testing and validation in working conditions PACS Conquest DICOM has been selected, its functionality has been verified. The technique of adapting the system for transmission and archiving of digital medical images has been developed, which includes an analysis of instrumental studies systems, installation of database components and configuration of PACS Conquest DICOM-server, connecting the instrumental studies systems and organization of access to digital medical images for medical personnel. Testing of the proposed technique was carried out at the National Institute of Cardiovascular Surgery named by N. Amosov.

Conclusion. The possibility of implementation the free and multi-platform storage system with connection of multiple diagnostic systems for efficient analysis of DMC on each workstation and long-term storage DMC is provided as a result of using the proposed technique.

Keywords: digital medical imaging, standard DICOM, long-term storage.

References:

  1. Kamenshchikov A.A. Interoperability in the field of e-health. Information Technologies and Computing Systems, 2009, № 5, pp. 67–71(in Russian).
  2. Robert Hoyt, Nora Bailey, Ann Yoshihashi. Health Informatics: Practical Guide for Healthcare and Information Technology Professionals (5th ed.). New York.: Lulu.com, 2012, 492p.
  3. EN ISO 12052:2011. Health informatics. Digital imaging and communication in medicine (DICOM) including workflow and data management. Available at: http://iso.org
  4. Oosterwijk Herman. DICOM Basics (3rd ed.). O Tech, 2005, pp. 23–28.
  5. Oosterwijk Herman. PACS Fundamentals (2nd ed.). O Tech, 2004, pp. 25–44.
  6. Dreyer K.J., Hirschorn D.S., Thrall J.H. PACS: A Guide to the Digital Revolution. London.: Springer, 2010, 596p., pp.249–269.

Received 15.12.2015