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The synchronization of medical systems databases: models and methods

НазваThe synchronization of medical systems databases: models and methods
Назва англійськоюThe synchronization of medical systems databases: models and methods
АвториValentyn Hahen
ПринадлежністьCherkasy State Technological University, Cherkasy, Ukraine
Бібліографічний описThe synchronization of medical systems databases: models and methods / Valentyn Hahen // Scientific Journal of TNTU. — Tern.: TNTU, 2021. — Vol 104. — No 4. — P. 143–148.
Bibliographic description:Hahen V. (2021) The synchronization of medical systems databases: models and methods. Scientific Journal of TNTU (Tern.), vol 104, no 4, pp. 143–148.
DOI: https://doi.org/10.33108/visnyk_tntu2021.04.143
УДК

004.03

Ключові слова

EHR, medical information system, data exchange, database.

In order to build a system of medical information exchange, it is necessary that different medical systems are compatible with each other. If the systems are incompatible, compatibility must be achieved by achieving semantic and syntactic compatibility of systems. If compatibility is achieved, databases of different systems must be synchronized. To achieve this goal, a study was conducted to examine the most popular models and methods of synchronization of medical data. Thus, there are several different ways to synchronize medical information between two systems. The most common are replication, ETL, and two-way synchronization.

ISSN:2522-4433
Перелік літератури
  1. Charite Niyitegeka, Thaoussi Uwera, Noel Korukire Synchronization of patient data among health facilities through electronic medical records system: a case study of Kabgayi District Hospital. Rwanda Journal of Medicine and Health Sciences. 2020. No. 2. P. 281.
  2. Dainis Geidmanis. On possibilities of one-way synchronized and alternating automata. Mathematical Foundations of Computer Science. 2006. P. 292–299.
  3. Hong-Ki Kim, Dong Hyun Kim, Dae-Soo Cho A Design and Implementation of a Two-Way Synchronization System of Spatio-Temporal Data Supporting Field Update in Mobile Environment. The Journal of the Korean Institute of Information and Communication Engineering. 2010. No. 14. P. 909–916.
  4. I Gusti Ngurah Agung. N ‐Way ANOVA Quantile Regressions. QUANTILE REGRESSION. 2021.
    P. 65–105.
  5. Ahmed Mahdi, Raid Abd Alreda Shekan, Haitham Ali Hussain Application of Data Mining and Knowledge Discovery in Medical Databases. Webology. 2022. No. 19. P. 4912–4924.
  6. John Erickson, Fatemeh Hosseinkhah, Hassan Ashktorab Challenges in Data Mining on Medical Databases. Database Technologies. 2009. P. 1393–1404.
References:
  1. Charite Niyitegeka, Thaoussi Uwera, Noel Korukire Synchronization of patient data among health facilities through electronic medical records system: a case study of Kabgayi District Hospital. Rwanda Journal of Medicine and Health Sciences. 2020. No. 2. P. 281.
  2. Dainis Geidmanis. On possibilities of one-way synchronized and alternating automata. Mathematical Foundations of Computer Science. 2006. P. 292–299.
  3. Hong-Ki Kim, Dong Hyun Kim, Dae-Soo Cho A Design and Implementation of a Two-Way Synchronization System of Spatio-Temporal Data Supporting Field Update in Mobile Environment. The Journal of the Korean Institute of Information and Communication Engineering. 2010. No. 14. P. 909–916.
  4. I Gusti Ngurah Agung. N ‐Way ANOVA Quantile Regressions. QUANTILE REGRESSION. 2021.
    P. 65–105.
  5. Ahmed Mahdi, Raid Abd Alreda Shekan, Haitham Ali Hussain Application of Data Mining and Knowledge Discovery in Medical Databases. Webology. 2022. No. 19. P. 4912–4924.
  6. John Erickson, Fatemeh Hosseinkhah, Hassan Ashktorab Challenges in Data Mining on Medical Databases. Database Technologies. 2009. P. 1393–1404.
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