Control Systems and Computers

DOI: https://doi.org/10.15407/usim.2018.04.057

Upr. sist. maš., 2018, Issue 4 (276), pp. 57-69.

UDC 004.75+004.932.2:616

Oleksandr S. Kovalenko –  D. Sc. (Medicine), Professor, Head of Department of Medical Information Systems, askov49@gmail.com,

Liudmyla M. Kozak -D.Sc. (Biology), Leading Researcher of Department of Medical Information Systems, lmkozak52@gmail.com,

Oksana O. Romanyuk – Junior Researcher of Department of Medical Information Systems,

Tatyana A. Maresova -Junior Researcher of Department of Medical Information Systems,

 Larisa V. Nenasheva – Junior Researcher of Department of Medical Information Systems,

International Research and Training Center for 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,

G.I. Finyak – Master student, The National Technical University of Ukraine, «Igor Sikorsky Kyiv Polytechnic Institute» Peremohy av., 37, Kiev, 03056, Ukraine

Mobile applications in the structure of modern medical information systems

Introduction. M-health will reduce costs and improve the quality of medical care, strengthen the interaction of the patient and the phisytian with regard to the implementation of preventive measures, improve and support human health in the long run.

Purpose. The purpose of the papers is to realize the possibility of exchanging digital medical data among the modern medical information systems with the help of mobile devices.

Methods. The mobile application was developed using an Android-based platform, the digital medical imaging database was formed using the DICOM, the medical signal database – SCP. The module StatisticsReport is written on VBA and adapted for using as a mobile application in the structure of the medical information system.

Results. The structure of the interconnection of mobile applications that combines the Android platform with functional blocks: decision support module, patient database, laboratory and instrumental research, a drug database and hospitalization, and a block of statistical data processing, are described. The mobile application provides an analysis  for number of tasks: the analysis of the total number of surgical interventions, the number of surgical interventions per specific disease, the percentage of surgical interventions and therapeutic treatment with full recovery, complications, repeated appeals, etc. A detailed report is provided for each types of analysis.

Conclusion. With the help of the developed module for mobile device the physician was given the opportunity to determine the effectiveness of a certain type of surgical and therapeutic treatment for further correction of treatment tactics, as well as to formulate the necessary statistical reports on the activities of the department or each doctor automatically.

Download full text! (On Ukrainian).

Keywords: digital medicine, mobile applications, medical information systems,  decision-making support, statistical reports.

1. The future of healthcare is not people vs machines. [online] Available at: <https://techcrunch.com/2016/07/11/the-future-of-healthcare-is-not-people-vs-machines/> [Accessed 16 Oct. 2018].
2. Why the development of applications for medicine has become relevant. [online] Available at: <http://art-coral.com/blog/pochemu-razrabotka-prilozheniy-dlya-mediciny-stala-aktualnoy-it-v-medicine> [Accessed 16 Oct. 2018].
3. Nikitin, P.V., Muradyants, A.A., Shostak, N.A., 2015. “Mobile Health: Opportunities”, Challenges, Prospects. Clinicist, 4, V.9, pp.13-21.
4. Gomesa, P., Antunes, M., 2012. “Mobile edoclink: a mobile workflow and document management application for healthcare institutions”. Procedia Technology, 5, pp.932 – 940.
   https://doi.org/10.1016/j.protcy.2012.09.103
5. Fokin, S.Yu., Kirichek, R.V., 2016. “Overview of medical applications, devices and communication technologies of the Internet of Things”. Information technology and telecommunications, 4 (4), pp. 67–80.
6. American Diabetes Association Recommendations. [online] Available at: <http://www.diabetes.org/ food-andfitness/fitness/types-of-activity/what-we-recommend.html> [Accessed 16 Oct. 2018].
7. Neto, O.B.L., Loyo, R., Albuquerque, J., Perazzo, J, Barbosa, V., Simxes Barbosa, C., 2015. “Using mobile technology to conduct epidemiological investigations”. Revista da Sociedade Brasileira de Medicina Tropical, 48(1), pp. 105-107.
   https://doi.org/10.1590/0037-8682-0181-2014
8. Dicianno, B.E., Parmanto, B., Fairman, A.D., Crytzer, Th.M., Yu, D.X., Derek, G.P., Petrazzi, C.A., 2015. “Perspectives on the Evolution of Mobile (mHealth) Technologies and Application to Rehabilitation”. Physical Therapy, 95 (3), pp. 397–405.
   https://doi.org/10.2522/ptj.20130534
9. Zhenwei, Ch. et al. World Bank, mobile applications for the Health sector 11, [online] Available at: <http://siteresources.worldbank.org/Information andcommunicationandtechnologies/Resources/mHealth_report.pdf> [Accessed 16 Oct. 2018].
10. Park, L.G., Howie-Esquivel, J., Dracup, K., 2014. “A quantitative systematic review of the efficiency of mobile phone interventions to improve medication adherence”. J. Adv Nurs, 70(9), pp. 1932-1953.
    https://doi.org/10.1111/jan.12400
11. Zolfo, M, Iglesias, D, Kiyan, C, Echevarria, J, Fucay, L, Llacsahuanga, E, et al., 2010. “Mobile learning for HIV/AIDS healthcare worker training in resource-limited settings”. AIDS Res Ther., pp. 7-35.
    https://doi.org/10.1186/1742-6405-7-35
12. Mobile for development m-health. [online] Available at: <https://www.gsma.com/mobilefordevelopment/mhealth/> [Accessed 16 Oct. 2018].
13. Agarwal, S., LeFevre, A.E., Lee, J., L’Engle, K., Mehl, G., Sinha, C. et al., 2016. “Guidelines for reporting of health interventions using mobile phones: mobile health (mHealth) evidence reporting and assessment (mERA) checklist”. BMJ, 352 p.

doi: https://doi.org/10.1136/bmj.i1174
https://doi.org/10.1136/bmj.i1174

14. Using apps in clinical practice. Royal College of Physicians. [online] Available at: <https://www.rcplondon.ac.uk/guidelines-policy/using-apps-clinical-practice-guidance> [Accessed 16 Oct. 2018].
15. Ekeland, A.G., Bowes, A., Flottorp, S., 2012. “Methodologies for assessing telemedicine: A systematic review of reviews”. Int. J. Med. Inform., 81(1), pp.1-11. doi:10.1016/j.ijmedinf.2011.10.009.
    https://doi.org/10.1016/j.ijmedinf.2011.10.009
16. Bourke, A.K., Prescher, S., Koehler, F., Cionca, V., Tavares, C., Gomis, S., Garcia, V., Nelson, J., 2012. “Embedded Fall and Activity Monitoring for a Wearable Ambient Assisted Living Solution for Older Adults”. 34th Annual International Conference of the IEEE EMBS, San Diego, California USA, 28 August – 1 September, 2012, pp. 248-251.
    https://doi.org/10.1109/EMBC.2012.6345916
17. Romanyuk, O.A., Kovalenko, A.S., Kozak, L.M., 2016. “Information support of the interaction of instrumental research systems and the system of long-term storage of digital medical images in health care facilities”. Kibernetika i vyčislitel`naâ tehnika, 184, pp. 56-71. (in Russian).
18. Kovalenko, A.S., Kozak, L.M., Romanyuk, O.A., 2017. “Information technology of digital medicine”. Kibernetika i vyčislitel`naâ tehnika, 187, pp. 67-79. (in Russian).
19. mHealth App Developer Economics. The current status and trends of the m-Health app market. [online] Available at: <http://research2guidance.com/r2g/r2g‐mHealth‐App‐Developer‐Economics‐pdf> [Accessed 16 Oct. 2018].

Received o3.12.18