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Abstract

Expert Method as a Quality Assessment Tool of a Multifunctional Hospital

The systematic structural transformation of the system and the introduction of new technologies are not enough to create an effective system for the medical quality control. It is supposed, that the health care quality management system will be phased, so, it is necessary to emphasize the change in management decisions of medical care quality. The purpose of the research is to alter the traditional scheme of medical expertise conceptualization into innovation, which is based on effective motivation of staff. The object of the study was Astghik Medical Center, which is a multi-functional medical center. Combining medical errors with different components of medical care quality, determines the degree of their significance, which allows dividing medical error into 4 classes. Taking into account the severity of the medical error, the degree of discrepancy is divided into 6 classes. We have developed a Medical Record Examination Questionnaire: 340 medical records have been examined. The research results show, that, the second class of health care quality discrepancy is most common. As a result of analyzing, the following errors were discovered: Gather information about the patient (25.5%), drug therapy -the absence of the prescribed medication, the improper use of the medication (0.8%), error in treatment continuity (10.8%). The received data indicate that it is necessary to develop and introduce managerial decisions that will result in a reduction of medical care discrepancy error. In order to achieve this goal it is necessary to set up a working group, whose staff is desirable to involve the chiefs of departments and the assistant of chief doctor.

Thus, managing of medical care quality within the limits of a separate medical institution confirms, that medical care quality can be improved by correctly using information about quality, by purposeful activity of the head, which will be aimed at solving main problem of medical care quality.


Author(s):

Dunamalyan R.A, Mardiyan M.A, Mkrtchyan S.A, Sakanyan G.H



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Abstracted/Indexed in
  • Genamics JournalSeek
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  • China National Knowledge Infrastructure (CNKI)
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  • Social care institute for Excellence(SCIE)
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  • Directory of Research Journal Indexing (DRJI)
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