Models, Methods and Algorithms of Web System Architecture Optimization

Pasieka, Nadia; Sheketa, Vasyl; Romanyshyn, Yulia; Pasyeka, Mykola; Domska, Ulyana; Струк, Анна

doi:10.1109/picst47496.2019.9061539

Cited by 9 publications

(1 citation statement)

References 16 publications

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“…Methods of research: We used the following methods of research: system analysis, structural and functional approach, analysis of publications on the subject, comparison, generalization of cognitive and negative features of similar systems, and critical testing of the proposed development [5,6].…”

Section: Introductionmentioning

confidence: 99%

Information System for Screening and Automation of Document Management in Oncological Clinics

Sheketa¹,

Pasyeka²,

Pasieka³

et al. 2021

TOBIOIJ

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Introduction: Automation of business documentation workflow in medical practice substantially accelerates and improves the process and results in better service development. Methods: Efficient use of databases, data banks, and document-oriented storage (warehouses data), including dual-purpose databases, enables performing specific actions, such as adding records, introducing changes into them, performing an either ordinary or analytical search of data, as well as their efficient processing. With the focus on achieving interaction between the distributed and heterogeneous applications and the devices belonging to the independent organizations, the specialized medical client application has been developed, as a result of which the quantity and quality of information streams of data, which can be essential for effective treatment of patients with breast cancer, have increased. Results: The application has been developed, allowing automating the management of patient records, taking into account the needs of medical staff, especially in managing patients’ appointments and creating patient’s medical records in accordance with the international standards currently in force. This work is the basis for the smoother integration of medical records and genomics data to achieve better prevention, diagnosis, prediction, and treatment of breast cancer (oncology). Conclusion: Since relevant standards upgrade the functioning of health care information technology and the quality and safety of patient’s care, we have accomplished the global architectural scheme of the specific medical automation system through harmonizing the medical services specified by the HL7 international.

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Section: Introductionmentioning

confidence: 99%