Automated analytics in healthcare
  • 2016 № 5 Ranking definition method of health insurance companies based on hierarchical classification.

    The official site of Federal compulsory medical insurance fund presents 21 activity indicators for the 59 health insurance organizations (HIOs) for 2015. Each indicator represents an activity efficiency criteria of HIO in the certain area as following: its larger or smaller value defines whether the company activity is successful or not. The HIO rating is defined per each of these criteria. Undoubtedly, HIO ranking definition problem on set of all the considered criteria is becoming particularly urgent. The purpose of this work is to apply the metrical approach for HIO activity efficiency assessment, based on the hierarchical classification method that assumes the distance calculation among HIOs as among the points of multidimensional space in the coordinate system corresponding to the criteria of their efficiency. The concept of reference organization that accumulates the best value of all of the HIO criteria is introduced in this paper. The ratings of insurance companies are established in accordance with the distance to the reference organization by the principle – the smaller the distance, the more efficient the company is and the higher its rating is (the place in the HIO list). The method is implemented in the environment of the STATISTICA statistical package. HIO ratings, defined by the proposed method can be used to identify promising and unpromising HIOs in order to plan their upcoming development or structural changes, they can also act as the specific navigator when choosing the health insurance company

    Authors: Khaliphyan A. A. [1] Koshkarov A. A. [4] Semenov. A. B. [2]

    Tags: classification1 criterion1 efficiency2 health insurance organizations (hios)1 object1 rating1 similarity1 the distance1

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  • Decision support systems
  • 2018 № 2 Decision Support System for Choosing Correction Tactics of Internal Carotid Arteries Stenosis

    Along with the medical systems development there is an important task on creation of medical decision support systems (DSS), in particular, capable of predicting the probability of postoperative complications. Computer methods of data analysis make it possible to successfully use both classical methods of applied statistics and modern heuristic procedures for identifying latent (hidden) knowledge in patients’ databases with subsequent construction of predictive models. The article describes the DSS, which automates the prediction of complications probability in the surgical treatment of internal carotid arteries stenoses by carotid endarterectomy and angiostentiation methods basing on the clinical parameters of the patient’s condition before treatment and the technological parameters of the operative intervention. The DSS is based on such classification methods as classification trees and neural networks, the training sample for the classification is the database of patients, who have been treated, with the information of complications presence or absence availiable. Studies, preceding the DSS development were implemented in the STATISTICA package environment. The entrance into program is automated. At the user’s require, the patient data, needed for the calculation is imported into the prediction program module of complications probability from the Excel table. Also, at the user’s request, the prediction results can be saved in the source table.

    Authors: Koshkarov A. A. [4] Khalafyan A. A. [1] Vinogradov R. A. [1] Akin’shina V. A. [1]

    Tags: angiostenting1 carotid endarterectomy1 classification trees1 medical decision support system2 neural networks3

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  • Diagnostic systems
  • 2017 № 3 From PACS to teleradiology

    This article is about the current situation of the distribution and exchange of medical images. Today PACS is familiar to medical facilities and it is widely used system in radiology departments, but the “teleradiology” term still has difficulties with interpretation. When digital medical images are printing on a film and then transfer to other specialists, this way of exchange becomes more and more expensive and inefficient. That’s why the problem of acquisition, dis- tribution and getting access to the results of the diagnostic studies still actual. Another problem is the lack of qualified radiologists in the regions of Russia, due to the uneven population density; competent specialists are concentrated in regional centers. Therefore performing of urgent remote consultation is an actual problem too. In this article have been defined perspectives of advancement of the teleradiological systems, that began to appear due to PACS implementa- tion in radiology departments. The purpose of this scientific research is to develop the methods of teleradiology systems organization for consultations using PACS and telemedicine networks created in the regions. Factors influencing the quality of teleradiology consultations were discussed in article. Prerequisites for the development and implementation of such socially important systems, as a regional teleradiology system were defined

    Authors: Koshkarov A. A. [4] Dubrovin A. V. [1]

    Tags: dicom1 medical imaging1 pacs1 radiology2 remote consultation1 ris1 telemedicine7 teleradiology2

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  • Regional informatizatian projects
  • 2017 № 3 Online method medical-economic control of prescriptions for preferential drug provision

    There is a high probability of making mistakes (intentional and unintentional) while filling the electronic form of the recipe for preferential drug provision, that may lead to violations in the prescription of drugs. Expert detection of prescription form filling errors after the drugs had been released to the patient in pharmacy can’t prevent the negative impact on patient’s health. The purpose of the study is to improve the effectiveness of organizing and performing the medical control of drugs prescribing, to simplify procedures for providing citizens with preferential medicines, applying the developed methods and algorithms for real-time verification of the selected recipes. The paper represents the method and the development of decision making support algorithm to be used while performing the medical expertise, also called medical -economic control. The opportunities of unified information system for prescribing and releasing of preferential recipes in the Krasnodar Region are observed in the paper in the frame of implementation of the “electronic prescription” technology and medical expertise of preferential drugs prescribing in real time. The prospects of medical expertise performing for detecting cases of polypharmacy in advance are established in cases of multiple drugs prescription (more than five). The importance of performing medical expertise was defined for all kinds of prescription, not only for preferential drugs, consequently the suggested method and developed algorithm should be applied to medical expertise of all kinds of electronic prescription in real-time

    Authors: Koshkarov A. A. [4] Semenov. A. B. [2] Penner D. V. [1] Khalaphyan A. A. [1]

    Tags: decision support system1 medical and economic control1 preferential medicinal maintenance1

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