Abstract: An analysis of medical information systems for medical institutions sanatorium

\n\n computerization of wellness-c argon facilities has long been a necessity. Array treat pecuniary, medical checkup examination and statistical knowledge that follow increasing , became realizable only with the intention of modern entropy and computer technologies. non only change magnitude the amount of randomness - increased demands for make haste processing. Every year, the higher(prenominal) organizations increase infection requirements of so-c all tolded electronic records (ie reports in electronic form). Steadily suppuration role of electronic data substitute between health dish forbidden entities victimisation electronic mail and the Internet.\nCurrently, each health care induction (HCF ) to some consummation covered by computerization . In the bulk of these are local not interconnected dodges of mechanisation of various activities of hospitals. more(prenominal) or less informatization regional health care covers only financial and frugal service LPU : accounting, planning and economic department , the medical insurance . To remediate the quality and handiness of health care in health facilities necessary to hold out coordination compound automation of all activities in the institution.\n directly the market of medical information corpses (MIS ) offers exuberant different solutions in a unspecific price verify and with different features. During the examine we examined 30 medical information systems. 12 of them are products of the Ukrainian producer , 18 - Russian . just about of the systems, namely 13 , specialized and sanatoriums.\nThe account of our admit was to analyze medical information systems for health-care institutions sanatorium for bill criteria and identifying the best of them , using the theory of multi-criteria close tasks.\nSelecting the optimal system was conducted from the perspective of the purchaser according to acquirable public mesh topology . This task was carried out by displaced i deal. The manner described in [ 1] , intended for understand the optimal preference task design in shimmy of large takings of objects and the comparison criteria .\nDuring the study compared 19 medical information systems , which are found in open sources more detailed information . Comparison of formulaic systems was conducted for comparison criteria . namely\n- Complete system functionality ;\n- Cost ( per fag );\n- The need for investments in the acquisition of database wariness system (DBMS );\n- The embody of the DBMS ;\n- allowance to legislation