THE ANALYTIC HIERARCHY PROCESS IS A PROMISING TOOL WHEN PROCESSING DATA AND MAKING DECISIONS IN PSYCHIATRY

Objectives . Formation of results of processing of rank (clinical, psychometric) information in the scale of relations [1] based on the Analytical Hierarchy Process (AHP, Saaty T. L., 2008). Methods . Clinical, psychometric, statistical and AHP algorithms. Results . When evaluating a patient's state, decisions must be made based on clinical, psychometric, social, and neurobiological characteristics. These characteristics correspond to measurement scales: categorical, rank (dimensional, psychometric), and relationship scales. Only the latter are numerical, so it is not possible [1] to create correct models of states taking into account neurobiological indicators. Rank estimates do not allow calculating even average values. Analysis of the problems of evaluating psychopathological states on the basis of categorical and rank scales shows that these problems can be presented in the form of appropriate hierarchies, the structure of which must be taken into account when processing initial information [1]. Therefore, the use of the AHP tools in these situations is most natural. The implementation of AHP procedures for processing rank information is based on the application of the AHP normative approach. In [1], using the simplest examples of General medical significance, the technique of using the AHP normative approach is demonstrated. In practice, both individual doctor evaluations (personalized patient management method) and average expert evaluations (team method) can be used. Conclusions . The AHP approach is promising when constructing integral models of the corresponding processes and correctly using the resulting estimates in practice and research. References. 1. Mitikhin V.G., Solokhina T.A. S.S. Korsakov Journal of Neurology and Psychiatry , 2019, 119(2): 49-54. doi:10.17116/jnevro201911902149