Development of an algorithm for automated wavelet analysis of clinical oncology dispensary registry data at the regional level

Published: 2018-09-28

    Mathematical modeling
  • This article describes the issue of overload of the registry on the example of the state budgetary health care institution clinical oncological dispensary No. 1 of the Ministry of health of the Krasnodar territory. Maintaining a schedule of appointments and appointments to the doctor in electronic form plays a key role in healthcare information systems as the most widespread and socially oriented medical service. The aim of the study is to develop an algorithm for automated wavelet analysis of data on the work of the registry. To achieve this goal, there are used the methods of wavelet analysis of information that have been applied in practice and can be reused in other medical institutions. It is possible to create an optimal schedule of work of registrars and as a result reduce the waiting time of patients at the reception, by automating the process of analysis of data on patient’s appointments that contained in the healthcare information system. The reduction in waiting time should increase patient satisfaction and improve the overall impression of the health facility. For each institution, the workload schedule of the registry will be different and may change over time. It follows that the analysis and optimization of work schedules should be carried out regularly and automatically.

    Authors: Koshkarov A. A. [8] Murashko R. A. [3] Sobchenko K. V. [2] Kovalenko A. V. [1] Sharov S. V. [2]

    Tags: appointment to the doctor1 healthcare information system11 registry1 time series2 wavelet analysis1

Articles
7

Authors
27

Pages
80

Last issues

Archive >
2020

«ВиИТ» №S5 2020

Дата выпуска: 2017-01-23

269

«ВиИТ» №4 2020

Дата выпуска: 2017-01-13

590

«ВиИТ» №3 2020

Дата выпуска: 2017-01-13

672

«ВиИТ» №2 2020

Дата выпуска: 2020-07-03

739