ISSN 0147-6882, Scientific and Technical Information Processing, 2010, Vol. 37, No. 6, pp. 407–412. © Allerton Press, Inc., 2010. Original Russian Text © V.M. Khachumov, 2009, published in Iskusstvennyi Intellekt i Prinyatie Reshenii, 2009, No. 3, pp. 25–32. 407 INTRODUCTION Application of new information technologies in clinical medicine leads to increased efficiency of treat- ment when these provide the operative management of treatment process. This is possible if the process of treatment is considered as a medical technological process (MTP) [1]. This approach includes the devel- opment of methods and analytical software of prece- dents of therapeutic and diagnostic processes for each of a group of nosological forms, stored in databases of hospital information systems, building a generalized description of clinical processes, and adaptation of such descriptions based on particular patient features. Analysis of the obtained information on the number of MTPs of disease treatment shows that there are sub- stantial reserves to increase productivity and quality of care, improve the use of medical equipment, etc. The more fully an MTP accounts for relationships and constraints linking the conditions of the process with its yield characteristics, the higher efficiency it has. Unfortunately, almost all separately taken MTPs are based on incomplete knowledge of the relationships, therefore, they can’t provide optimal treatment of patients. One of the most effective forms of MTP implemen- tation is a therapeutic schedule, which after filling is soon able to serve patients [2]. Various operations of MTPs may differ in their time of implementation and equipment used. The length of the schedule is deter- mined by its longest operation, so it can be down due to the irregular loading of the schedule. At the same time, different MTPs can partially use the same equip- ment, which creates a problem of optimization of their joint operation schedule. Since the same disease is revealed differently in different patients, each of them can be assigned an individual MTP with a different list and number of equipment, and sequence of their application depending on the characteristics of dis- ease. All these issues lead to the problem of optimiza- tion of time-ordered MTPs. To substantially increase the efficiency of an MTP, new methods of medical process analysis are required, based on the automated extraction of knowledge from existing MTP databases, using queuing theory and scheduling theory, and the application of intelligent technologies for decision support. The ultimate goal of this research is to develop a set of specialized optimization methods of medical and technological treatment processes. The complex should support an interactive mode with a physician’s smart graphical user interface and provide the ability to actively influence the course of the MTP. In this paper we consider one of the possible approaches to the formalization of the description and optimization of an ophthalmic time-ordered MTP. 1. BASICS OF FORMALIZATION AND OPTIMIZATION OF TIME-ORDERED MTPS The problem of technological process design is polyvariant. In an MTP, the number of possible transi- tion combinations, operation modes and configura- tions increases significantly for simple diseases and even more for complex ones. Because of differences in the structure, equipment used and modes, MTP options for one disease have different yield character- istics: the time of treatment, cost, and coefficient of equipment loading, etc. The presence of several MTP variants leads to the problem of choosing the best one, called the optimal one. To reduce the time required to solve the problem, selection of rational variants of MTP design decisions is used. This leads to the prob- lem of forming the criteria of options selection. A pipelined MTP in the framework of scheduling theory is formalized in the form of a system with mul- tiphase cyclical maintenance. Periodic schedules are best suited for the planning of multiple execution of complex operations. In [3–5] an approach was devel- oped to the design of time-ordered schedules. Let us consider the main points of this approach based on the optimization of combining service cycles during mul- tiple realizations of MTPs. Intellectual Systems Models of Scheduling Medicinal Processes V. M. Khachumov Abstract—A method of formalization and optimization of schedules for medical process is considered. Examples of optimization of medical schedules of ophthalmic hardware aid are given. We propose artificial intelligence methods to improve the quality of patient care. Keywords: healing schedule, medical process, the combination of cycles, optimization, artificial intelligence. DOI: 10.3103/S0147688210060055